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\n  \n 2026\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n Local lateral connectivity is sufficient for replicating cortex-like topographical organization in deep neural networks.\n \n \n \n\n\n \n Qian, X.; Dehghani, A. O.; Farahani, A. B.; and Bashivan, P.\n\n\n \n\n\n\n Nature Communications. 2026.\n \n\n\n\n
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@article{qian2026local,\n  title={Local lateral connectivity is sufficient for replicating cortex-like topographical organization in deep neural networks},\n  author={Qian, Xinyu and Dehghani, Amir Ozhan and Farahani, Asa Borzabadi and Bashivan, Pouya},\n  journal={Nature Communications},\n  year={2026},\n  publisher={Nature Publishing Group UK London}\n}\n\n
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\n \n\n \n \n \n \n \n Caption This, Reason That: VLMs Caught in the Middle.\n \n \n \n\n\n \n Weng, Z.; Gomez, L.; Webb, T.; and Bashivan, P.\n\n\n \n\n\n\n Advances in Neural Information Processing Systems, 38: 39891–39930. 2026.\n \n\n\n\n
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@article{weng2026caption,\n  title={Caption This, Reason That: VLMs Caught in the Middle},\n  author={Weng, Zihan and Gomez, Lucas and Webb, Taylor and Bashivan, Pouya},\n  journal={Advances in Neural Information Processing Systems},\n  volume={38},\n  pages={39891--39930},\n  year={2026}\n}\n\n
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\n \n\n \n \n \n \n \n Stable Deep Reinforcement Learning via Isotropic Gaussian Representations.\n \n \n \n\n\n \n Saheb Pasand, A.; Obando-Ceron, J.; Courville, A.; Bashivan, P.; and Castro, P. S.\n\n\n \n\n\n\n arXiv e-prints,arXiv–2602. 2026.\n \n\n\n\n
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@article{saheb2026stable,\n  title={Stable Deep Reinforcement Learning via Isotropic Gaussian Representations},\n  author={Saheb Pasand, Ali and Obando-Ceron, Johan and Courville, Aaron and Bashivan, Pouya and Castro, Pablo Samuel},\n  journal={arXiv e-prints},\n  pages={arXiv--2602},\n  year={2026}\n}\n\n
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\n  \n 2025\n \n \n (10)\n \n \n
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\n \n\n \n \n \n \n \n Software and methods for controlling neural responses in deep brain regions.\n \n \n \n\n\n \n Dicarlo, J.; Bashivan, P.; and Kar, K.\n\n\n \n\n\n\n May 27 2025.\n US Patent 12,311,113\n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@misc{dicarlo2025software,\n  title={Software and methods for controlling neural responses in deep brain regions},\n  author={Dicarlo, James and Bashivan, Pouya and Kar, Kohitij},\n  year={2025},\n  month=may # "~27",\n  note={US Patent 12,311,113}\n}\n\n
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\n \n\n \n \n \n \n \n Burst firing optimizes invariant coding of natural communication signals by electrosensory neural populations.\n \n \n \n\n\n \n Metzen, M. G; Akhshi, A.; Bashivan, P.; Khadra, A.; and Chacron, M. J\n\n\n \n\n\n\n iScience, 28(5). 2025.\n \n\n\n\n
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@article{metzen2025burst,\n  title={Burst firing optimizes invariant coding of natural communication signals by electrosensory neural populations},\n  author={Metzen, Michael G and Akhshi, Amin and Bashivan, Pouya and Khadra, Anmar and Chacron, Maurice J},\n  journal={iScience},\n  volume={28},\n  number={5},\n  year={2025},\n  publisher={Elsevier}\n}\n\n
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\n \n\n \n \n \n \n \n Learning adversarially robust kernel ensembles with kernel average pooling.\n \n \n \n\n\n \n Bashivan, P.; Bayat, R.; Ibrahim, A.; Dehghani, A.; and Ren, Y.\n\n\n \n\n\n\n Expert Systems with Applications, 266: 126017. 2025.\n \n\n\n\n
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@article{bashivan2025learning,\n  title={Learning adversarially robust kernel ensembles with kernel average pooling},\n  author={Bashivan, Pouya and Bayat, Reza and Ibrahim, Adam and Dehghani, Amirozhan and Ren, Yifei},\n  journal={Expert Systems with Applications},\n  volume={266},\n  pages={126017},\n  year={2025},\n  publisher={Pergamon}\n}\n\n
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\n \n\n \n \n \n \n \n Credit-based self organizing maps: training deep topographic networks with minimal performance degradation.\n \n \n \n\n\n \n Dehghani, A. O.; Qian, X.; Farahani, A.; and Bashivan, P.\n\n\n \n\n\n\n In International Conference on Learning Representations, volume 2025, pages 77607–77625, 2025. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{dehghani2025credit,\n  title={Credit-based self organizing maps: training deep topographic networks with minimal performance degradation},\n  author={Dehghani, Amir Ozhan and Qian, Xinyu and Farahani, Asa and Bashivan, Pouya},\n  booktitle={International Conference on Learning Representations},\n  volume={2025},\n  pages={77607--77625},\n  year={2025}\n}\n\n
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\n \n\n \n \n \n \n \n Building spatial world models from sparse transitional episodic memories.\n \n \n \n\n\n \n He, Z.; Daigle, M.; and Bashivan, P.\n\n\n \n\n\n\n arXiv preprint arXiv:2505.13696. 2025.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{he2025building,\n  title={Building spatial world models from sparse transitional episodic memories},\n  author={He, Zizhan and Daigle, Maxime and Bashivan, Pouya},\n  journal={arXiv preprint arXiv:2505.13696},\n  year={2025}\n}\n\n
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\n \n\n \n \n \n \n \n Real-time fine finger motion decoding for transradial amputees with surface electromyography.\n \n \n \n\n\n \n Weng, Z.; Xiao, Y.; Li, P.; Yi, C.; Bashivan, P.; Ma, H.; Yao, G.; Lin, Y.; Li, F.; Yao, D.; and others\n\n\n \n\n\n\n Neural Networks, 190: 107605. 2025.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{weng2025real,\n  title={Real-time fine finger motion decoding for transradial amputees with surface electromyography},\n  author={Weng, Zihan and Xiao, Yang and Li, Peiyang and Yi, Chanlin and Bashivan, Pouya and Ma, Hailin and Yao, Guang and Lin, Yuan and Li, Fali and Yao, Dezhong and others},\n  journal={Neural Networks},\n  volume={190},\n  pages={107605},\n  year={2025},\n  publisher={Pergamon}\n}\n\n
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\n \n\n \n \n \n \n \n Emergent brain-like representations in a goal-directed neural network model of visual search.\n \n \n \n\n\n \n Pourrahimi, M.; and Bashivan, P.\n\n\n \n\n\n\n bioRxiv. 2025.\n \n\n\n\n
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@article{pourrahimi2025emergent,\n  title={Emergent brain-like representations in a goal-directed neural network model of visual search},\n  author={Pourrahimi, Motahareh and Bashivan, Pouya},\n  journal={bioRxiv},\n  year={2025},\n  publisher={Cold Spring Harbor Laboratory}\n}\n\n
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\n \n\n \n \n \n \n \n Spatially and non-spatially tuned hippocampal neurons are linear perceptual and nonlinear memory encoders.\n \n \n \n\n\n \n Daigle, M.; Yan, K.; Corrigan, B.; Gulli, R.; Martinez-Trujillo, J.; and Bashivan, P.\n\n\n \n\n\n\n bioRxiv,2025–06. 2025.\n \n\n\n\n
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@article{daigle2025spatially,\n  title={Spatially and non-spatially tuned hippocampal neurons are linear perceptual and nonlinear memory encoders},\n  author={Daigle, Maxime and Yan, Kaicheng and Corrigan, Benjamin and Gulli, Roberto and Martinez-Trujillo, Julio and Bashivan, Pouya},\n  journal={bioRxiv},\n  pages={2025--06},\n  year={2025},\n  publisher={Cold Spring Harbor Laboratory}\n}\n\n
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\n \n\n \n \n \n \n \n SPECTRE: Spectral Pre-training Embeddings with Cylindrical Temporal Rotary Position Encoding for Fine-Grained sEMG-Based Movement Decoding.\n \n \n \n\n\n \n Weng, Z.; Yi, C.; Bashivan, P.; Lu, J.; Li, F.; Yao, D.; Hou, J.; Zhang, Y.; and Xu, P.\n\n\n \n\n\n\n arXiv preprint arXiv:2512.22481. 2025.\n \n\n\n\n
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@article{weng2025spectre,\n  title={SPECTRE: Spectral Pre-training Embeddings with Cylindrical Temporal Rotary Position Encoding for Fine-Grained sEMG-Based Movement Decoding},\n  author={Weng, Zihan and Yi, Chanlin and Bashivan, Pouya and Lu, Jing and Li, Fali and Yao, Dezhong and Hou, Jingming and Zhang, Yangsong and Xu, Peng},\n  journal={arXiv preprint arXiv:2512.22481},\n  year={2025}\n}\n\n
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\n \n\n \n \n \n \n \n Neural signatures of associational cortex emerge in a goal-directed model of visual search.\n \n \n \n\n\n \n Pourrahimi, M.; and Bashivan, P.\n\n\n \n\n\n\n bioRxiv,2025–06. 2025.\n \n\n\n\n
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@article{pourrahimi2025neural,\n  title={Neural signatures of associational cortex emerge in a goal-directed model of visual search},\n  author={Pourrahimi, Motahareh and Bashivan, Pouya},\n  journal={bioRxiv},\n  pages={2025--06},\n  year={2025},\n  publisher={Cold Spring Harbor Laboratory}\n}\n\n
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\n  \n 2024\n \n \n (7)\n \n \n
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\n \n\n \n \n \n \n \n How well do models of visual cortex generalize to out of distribution samples?.\n \n \n \n\n\n \n Ren, Y.; and Bashivan, P.\n\n\n \n\n\n\n PLOS Computational Biology, 20(5): e1011145. 2024.\n \n\n\n\n
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@article{ren2024well,\n  title={How well do models of visual cortex generalize to out of distribution samples?},\n  author={Ren, Yifei and Bashivan, Pouya},\n  journal={PLOS Computational Biology},\n  volume={20},\n  number={5},\n  pages={e1011145},\n  year={2024},\n  publisher={Public Library of Science San Francisco, CA USA}\n}\n\n
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\n \n\n \n \n \n \n \n Towards adversarially robust vision-language models: Insights from design choices and prompt formatting techniques.\n \n \n \n\n\n \n Bhagwatkar, R.; Nayak, S.; Bayat, R.; Roger, A.; Kaplan, D. Z; Bashivan, P.; and Rish, I.\n\n\n \n\n\n\n arXiv preprint arXiv:2407.11121. 2024.\n \n\n\n\n
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@article{bhagwatkar2024towards,\n  title={Towards adversarially robust vision-language models: Insights from design choices and prompt formatting techniques},\n  author={Bhagwatkar, Rishika and Nayak, Shravan and Bayat, Reza and Roger, Alexis and Kaplan, Daniel Z and Bashivan, Pouya and Rish, Irina},\n  journal={arXiv preprint arXiv:2407.11121},\n  year={2024}\n}\n\n
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\n \n\n \n \n \n \n \n A hybrid CNN-transformer approach for continuous fine finger motion decoding from sEMG signals.\n \n \n \n\n\n \n Weng, Z.; Zhang, X.; Mou, Y.; Yi, C.; Li, F.; Bashivan, P.; and Xu, P.\n\n\n \n\n\n\n In 2024 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), pages 1–6, 2024. IEEE\n \n\n\n\n
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@inproceedings{weng2024hybrid,\n  title={A hybrid CNN-transformer approach for continuous fine finger motion decoding from sEMG signals},\n  author={Weng, Zihan and Zhang, Xiabing and Mou, Yufeng and Yi, Chanlin and Li, Fali and Bashivan, Pouya and Xu, Peng},\n  booktitle={2024 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)},\n  pages={1--6},\n  year={2024},\n  organization={IEEE}\n}\n\n
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\n \n\n \n \n \n \n \n Geometry of naturalistic object representations in recurrent neural network models of working memory.\n \n \n \n\n\n \n Lei, X.; Ito, T.; and Bashivan, P.\n\n\n \n\n\n\n Advances in Neural Information Processing Systems, 37: 100604–100629. 2024.\n \n\n\n\n
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@article{lei2024geometry,\n  title={Geometry of naturalistic object representations in recurrent neural network models of working memory},\n  author={Lei, Xiaoxuan and Ito, Takuya and Bashivan, Pouya},\n  journal={Advances in Neural Information Processing Systems},\n  volume={37},\n  pages={100604--100629},\n  year={2024}\n}\n\n
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\n \n\n \n \n \n \n \n Improving adversarial robustness in vision-language models with architecture and prompt design.\n \n \n \n\n\n \n Bhagwatkar, R.; Nayak, S.; Bashivan, P.; and Rish, I.\n\n\n \n\n\n\n In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 17003–17020, 2024. \n \n\n\n\n
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@inproceedings{bhagwatkar2024improving,\n  title={Improving adversarial robustness in vision-language models with architecture and prompt design},\n  author={Bhagwatkar, Rishika and Nayak, Shravan and Bashivan, Pouya and Rish, Irina},\n  booktitle={Findings of the Association for Computational Linguistics: EMNLP 2024},\n  pages={17003--17020},\n  year={2024}\n}\n\n
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\n \n\n \n \n \n \n \n Rgp: Achieving memory-efficient model fine-tuning via randomized gradient projection.\n \n \n \n\n\n \n Pasand, A. S.; and Bashivan, P.\n\n\n \n\n\n\n In NeurIPS Efficient Natural Language and Speech Processing Workshop, pages 47–54, 2024. PMLR\n \n\n\n\n
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@inproceedings{pasand2024rgp,\n  title={Rgp: Achieving memory-efficient model fine-tuning via randomized gradient projection},\n  author={Pasand, Ali Saheb and Bashivan, Pouya},\n  booktitle={NeurIPS Efficient Natural Language and Speech Processing Workshop},\n  pages={47--54},\n  year={2024},\n  organization={PMLR}\n}\n\n
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\n \n\n \n \n \n \n \n iwisdm: Assessing instruction following in multimodal models at scale.\n \n \n \n\n\n \n Lei, X.; Gomez, L.; Bai, H. Y.; and Bashivan, P.\n\n\n \n\n\n\n arXiv preprint arXiv:2406.14343. 2024.\n \n\n\n\n
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@article{lei2024iwisdm,\n  title={iwisdm: Assessing instruction following in multimodal models at scale},\n  author={Lei, Xiaoxuan and Gomez, Lucas and Bai, Hao Yuan and Bashivan, Pouya},\n  journal={arXiv preprint arXiv:2406.14343},\n  year={2024}\n}\n
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\n  \n 2023\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n Software and methods for controlling neural responses in deep brain regions.\n \n \n \n\n\n \n Dicarlo, J.; Bashivan, P.; and Kar, K.\n\n\n \n\n\n\n November 14 2023.\n US Patent 11,813,406\n\n\n\n
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@misc{dicarlo2023software,\n  title={Software and methods for controlling neural responses in deep brain regions},\n  author={Dicarlo, James and Bashivan, Pouya and Kar, Kohitij},\n  year={2023},\n  month=nov # "~14",\n  note={US Patent 11,813,406}\n}\n\n
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\n \n\n \n \n \n \n \n Using modular connectome-based predictive modeling to reveal brain-behavior relationships of individual differences in working memory.\n \n \n \n\n\n \n Yang, H.; Zhang, J.; Jin, Z.; Bashivan, P.; and Li, L.\n\n\n \n\n\n\n Brain Structure and Function, 228(6): 1479–1492. 2023.\n \n\n\n\n
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@article{yang2023using,\n  title={Using modular connectome-based predictive modeling to reveal brain-behavior relationships of individual differences in working memory},\n  author={Yang, Huayi and Zhang, Junjun and Jin, Zhenlan and Bashivan, Pouya and Li, Ling},\n  journal={Brain Structure and Function},\n  volume={228},\n  number={6},\n  pages={1479--1492},\n  year={2023},\n  publisher={Springer Berlin Heidelberg Berlin/Heidelberg}\n}\n\n
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\n \n\n \n \n \n \n \n The feature landscape of visual cortex.\n \n \n \n\n\n \n Tong, R.; da Silva, R.; Lin, D.; Ghosh, A.; Wilsenach, J.; Cianfarano, E.; Bashivan, P.; Richards, B.; and Trenholm, S.\n\n\n \n\n\n\n BioRxiv,2023–11. 2023.\n \n\n\n\n
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@article{tong2023feature,\n  title={The feature landscape of visual cortex},\n  author={Tong, Rudi and da Silva, Ronan and Lin, Dongyan and Ghosh, Arna and Wilsenach, James and Cianfarano, Erica and Bashivan, Pouya and Richards, Blake and Trenholm, Stuart},\n  journal={BioRxiv},\n  pages={2023--11},\n  year={2023},\n  publisher={Cold Spring Harbor Laboratory}\n}\n\n
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\n  \n 2022\n \n \n (2)\n \n \n
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\n \n \n
\n \n\n \n \n \n \n \n Towards out-of-distribution adversarial robustness.\n \n \n \n\n\n \n Ibrahim, A.; Guille-Escuret, C.; Mitliagkas, I.; Rish, I.; Krueger, D.; and Bashivan, P.\n\n\n \n\n\n\n arXiv preprint arXiv:2210.03150. 2022.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{ibrahim2022towards,\n  title={Towards out-of-distribution adversarial robustness},\n  author={Ibrahim, Adam and Guille-Escuret, Charles and Mitliagkas, Ioannis and Rish, Irina and Krueger, David and Bashivan, Pouya},\n  journal={arXiv preprint arXiv:2210.03150},\n  year={2022}\n}\n\n
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\n \n\n \n \n \n \n \n Investigation of brain functional connectivity from electroencephalogram data.\n \n \n \n\n\n \n Chiarion, G.; Safaei, S.; Valizadeh, A.; Bashivan, P.; Yeh, C.; Zhang, C.; Wang, Y.; and Mesin, L.\n\n\n \n\n\n\n 2022.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@misc{chiarion2022investigation,\n  title={Investigation of brain functional connectivity from electroencephalogram data},\n  author={Chiarion, Giovanni and Safaei, Soroush and Valizadeh, Alireza and Bashivan, Pouya and Yeh, Chien-Hung and Zhang, Chuting and Wang, Yufei and Mesin, Luca},\n  journal={Frontiers in Physiology},\n  volume={13},\n  pages={1058683},\n  year={2022},\n  publisher={Frontiers Media SA}\n}\n\n
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\n  \n 2021\n \n \n (3)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n Adversarial feature desensitization.\n \n \n \n\n\n \n Bashivan, P.; Bayat, R.; Ibrahim, A.; Ahuja, K.; Faramarzi, M.; Laleh, T.; Richards, B.; and Rish, I.\n\n\n \n\n\n\n Advances in Neural Information Processing Systems, 34: 10665–10677. 2021.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{bashivan2021adversarial,\n  title={Adversarial feature desensitization},\n  author={Bashivan, Pouya and Bayat, Reza and Ibrahim, Adam and Ahuja, Kartik and Faramarzi, Mojtaba and Laleh, Touraj and Richards, Blake and Rish, Irina},\n  journal={Advances in Neural Information Processing Systems},\n  volume={34},\n  pages={10665--10677},\n  year={2021}\n}\n\n
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\n \n\n \n \n \n \n \n Auditory cortex supports verbal working memory capacity.\n \n \n \n\n\n \n Bidelman, G. M; Brown, J. A; and Bashivan, P.\n\n\n \n\n\n\n Neuroreport, 32(2): 163–168. 2021.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{bidelman2021auditory,\n  title={Auditory cortex supports verbal working memory capacity},\n  author={Bidelman, Gavin M and Brown, Jane A and Bashivan, Pouya},\n  journal={Neuroreport},\n  volume={32},\n  number={2},\n  pages={163--168},\n  year={2021},\n  publisher={LWW}\n}\n\n
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\n \n\n \n \n \n \n \n Computational models of category-selective brain regions enable high-throughput tests of selectivity.\n \n \n \n\n\n \n Ratan Murty, N A.; Bashivan, P.; Abate, A.; DiCarlo, J. J; and Kanwisher, N.\n\n\n \n\n\n\n Nature communications, 12(1): 5540. 2021.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{ratan2021computational,\n  title={Computational models of category-selective brain regions enable high-throughput tests of selectivity},\n  author={Ratan Murty, N Apurva and Bashivan, Pouya and Abate, Alex and DiCarlo, James J and Kanwisher, Nancy},\n  journal={Nature communications},\n  volume={12},\n  number={1},\n  pages={5540},\n  year={2021},\n  publisher={Nature Publishing Group UK London}\n}\n\n
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\n  \n 2019\n \n \n (7)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n Teacher guided architecture search.\n \n \n \n\n\n \n Bashivan, P.; Tensen, M.; and DiCarlo, J. J\n\n\n \n\n\n\n In Proceedings of the IEEE/CVF international conference on computer vision, pages 5320–5329, 2019. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{bashivan2019teacher,\n  title={Teacher guided architecture search},\n  author={Bashivan, Pouya and Tensen, Mark and DiCarlo, James J},\n  booktitle={Proceedings of the IEEE/CVF international conference on computer vision},\n  pages={5320--5329},\n  year={2019}\n}\n\n
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\n \n\n \n \n \n \n \n Neural population control via deep image synthesis.\n \n \n \n\n\n \n Bashivan, P.; Kar, K.; and DiCarlo, J. J\n\n\n \n\n\n\n Science, 364(6439): eaav9436. 2019.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{bashivan2019neural,\n  title={Neural population control via deep image synthesis},\n  author={Bashivan, Pouya and Kar, Kohitij and DiCarlo, James J},\n  journal={Science},\n  volume={364},\n  number={6439},\n  pages={eaav9436},\n  year={2019},\n  publisher={American Association for the Advancement of Science}\n}\n\n
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\n\n\n\n
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\n \n\n \n \n \n \n \n Continual learning with self-organizing maps.\n \n \n \n\n\n \n Bashivan, P.; Schrimpf, M.; Ajemian, R.; Rish, I.; Riemer, M.; and Tu, Y.\n\n\n \n\n\n\n arXiv preprint arXiv:1904.09330. 2019.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{bashivan2019continual,\n  title={Continual learning with self-organizing maps},\n  author={Bashivan, Pouya and Schrimpf, Martin and Ajemian, Robert and Rish, Irina and Riemer, Matthew and Tu, Yuhai},\n  journal={arXiv preprint arXiv:1904.09330},\n  year={2019}\n}\n\n
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\n \n\n \n \n \n \n \n Using brain-score to evaluate and build neural networks for brain-like object recognition.\n \n \n \n\n\n \n Schrimpf, M.; Kubilius, J.; Hong, H.; Majaj, N. J; Rajalingham, R.; Ziemba, C.; Issa, E. B; Kar, K.; Bashivan, P.; Prescott-Roy, J.; and others\n\n\n \n\n\n\n In Cosyne 19, Date: 2019/02/28-2019/03/03, Location: Lisbon, Portugal, 2019. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{schrimpf2019using,\n  title={Using brain-score to evaluate and build neural networks for brain-like object recognition},\n  author={Schrimpf, Martin and Kubilius, Jonas and Hong, Ha and Majaj, Najib J and Rajalingham, Rishi and Ziemba, Corey and Issa, Elias B and Kar, Kohitij and Bashivan, Pouya and Prescott-Roy, Jonathan and others},\n  booktitle={Cosyne 19, Date: 2019/02/28-2019/03/03, Location: Lisbon, Portugal},\n  year={2019}\n}\n\n
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\n \n\n \n \n \n \n \n A neurobiological evaluation metric for neural network model search.\n \n \n \n\n\n \n Blanchard, N.; Kinnison, J.; RichardWebster, B.; Bashivan, P.; and Scheirer, W. J\n\n\n \n\n\n\n In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 5404–5413, 2019. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@inproceedings{blanchard2019neurobiological,\n  title={A neurobiological evaluation metric for neural network model search},\n  author={Blanchard, Nathaniel and Kinnison, Jeffery and RichardWebster, Brandon and Bashivan, Pouya and Scheirer, Walter J},\n  booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},\n  pages={5404--5413},\n  year={2019}\n}\n\n
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\n \n\n \n \n \n \n \n Large-scale hyperparameter search for predicting human brain responses in the Algonauts challenge.\n \n \n \n\n\n \n Jozwik, K. M; Lee, M.; Marques, T.; Schrimpf, M.; and Bashivan, P.\n\n\n \n\n\n\n bioRxiv,689844. 2019.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n 
@article{jozwik2019large,\n  title={Large-scale hyperparameter search for predicting human brain responses in the Algonauts challenge},\n  author={Jozwik, Kamila M and Lee, Michael and Marques, Tiago and Schrimpf, Martin and Bashivan, Pouya},\n  journal={bioRxiv},\n  pages={689844},\n  year={2019},\n  publisher={Cold Spring Harbor Laboratory}\n}\n\n
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\n\n\n
\n \n\n \n \n \n \n \n Brain-like object recognition with high-performing shallow recurrent ANNs.\n \n \n \n\n\n \n Kubilius, J.; Schrimpf, M.; Kar, K.; Rajalingham, R.; Hong, H.; Majaj, N.; Issa, E.; Bashivan, P.; Prescott-Roy, J.; Schmidt, K.; and others\n\n\n \n\n\n\n Advances in neural information processing systems, 32. 2019.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{kubilius2019brain,\n  title={Brain-like object recognition with high-performing shallow recurrent ANNs},\n  author={Kubilius, Jonas and Schrimpf, Martin and Kar, Kohitij and Rajalingham, Rishi and Hong, Ha and Majaj, Najib and Issa, Elias and Bashivan, Pouya and Prescott-Roy, Jonathan and Schmidt, Kailyn and others},\n  journal={Advances in neural information processing systems},\n  volume={32},\n  year={2019}\n}\n\n
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\n  \n 2018\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n Large-scale, high-resolution comparison of the core visual object recognition behavior of humans, monkeys, and state-of-the-art deep artificial neural networks.\n \n \n \n\n\n \n Rajalingham, R.; Issa, E. B; Bashivan, P.; Kar, K.; Schmidt, K.; and DiCarlo, J. J\n\n\n \n\n\n\n Journal of Neuroscience, 38(33): 7255–7269. 2018.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{rajalingham2018large,\n  title={Large-scale, high-resolution comparison of the core visual object recognition behavior of humans, monkeys, and state-of-the-art deep artificial neural networks},\n  author={Rajalingham, Rishi and Issa, Elias B and Bashivan, Pouya and Kar, Kohitij and Schmidt, Kailyn and DiCarlo, James J},\n  journal={Journal of Neuroscience},\n  volume={38},\n  number={33},\n  pages={7255--7269},\n  year={2018},\n  publisher={Society for Neuroscience}\n}\n\n
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\n \n\n \n \n \n \n \n Brain-score: Which artificial neural network for object recognition is most brain-like?.\n \n \n \n\n\n \n Schrimpf, M.; Kubilius, J.; Hong, H.; Majaj, N. J; Rajalingham, R.; Issa, E. B; Kar, K.; Bashivan, P.; Prescott-Roy, J.; Geiger, F.; and others\n\n\n \n\n\n\n BioRxiv,407007. 2018.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{schrimpf2018brain,\n  title={Brain-score: Which artificial neural network for object recognition is most brain-like?},\n  author={Schrimpf, Martin and Kubilius, Jonas and Hong, Ha and Majaj, Najib J and Rajalingham, Rishi and Issa, Elias B and Kar, Kohitij and Bashivan, Pouya and Prescott-Roy, Jonathan and Geiger, Franziska and others},\n  journal={BioRxiv},\n  pages={407007},\n  year={2018},\n  publisher={Cold Spring Harbor Laboratory}\n}\n\n
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\n \n\n \n \n \n \n \n Single units in a deep neural network functionally correspond with neurons in the brain: preliminary results.\n \n \n \n\n\n \n Arend, L.; Han, Y.; Schrimpf, M.; Bashivan, P.; Kar, K.; Poggio, T.; DiCarlo, J. J; and Boix, X.\n\n\n \n\n\n\n Technical Report Center for Brains, Minds and Machines (CBMM), 2018.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@techreport{arend2018single,\n  title={Single units in a deep neural network functionally correspond with neurons in the brain: preliminary results},\n  author={Arend, Luke and Han, Yena and Schrimpf, Martin and Bashivan, Pouya and Kar, Kohitij and Poggio, Tomaso and DiCarlo, James J and Boix, Xavier},\n  year={2018},\n  institution={Center for Brains, Minds and Machines (CBMM)}\n}\n\n
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\n  \n 2017\n \n \n (4)\n \n \n
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\n \n\n \n \n \n \n \n Learning discriminative functional network features of schizophrenia.\n \n \n \n\n\n \n Gheiratmand, M.; Rish, I.; Cecchi, G.; Brown, M.; Greiner, R.; Bashivan, P.; Polosecki, P.; and Dursun, S.\n\n\n \n\n\n\n In Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10137, pages 335–343, 2017. SPIE\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{gheiratmand2017learning,\n  title={Learning discriminative functional network features of schizophrenia},\n  author={Gheiratmand, Mina and Rish, Irina and Cecchi, Guillermo and Brown, Matthew and Greiner, Russell and Bashivan, Pouya and Polosecki, Pablo and Dursun, Serdar},\n  booktitle={Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging},\n  volume={10137},\n  pages={335--343},\n  year={2017},\n  organization={SPIE}\n}\n\n
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\n \n\n \n \n \n \n \n Learning stable and predictive network-based patterns of schizophrenia and its clinical symptoms.\n \n \n \n\n\n \n Gheiratmand, M.; Rish, I.; Cecchi, G. A; Brown, M. R.; Greiner, R.; Polosecki, P. I; Bashivan, P.; Greenshaw, A. J; Ramasubbu, R.; and Dursun, S. M\n\n\n \n\n\n\n NPJ schizophrenia, 3(1): 22. 2017.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{gheiratmand2017learning,\n  title={Learning stable and predictive network-based patterns of schizophrenia and its clinical symptoms},\n  author={Gheiratmand, Mina and Rish, Irina and Cecchi, Guillermo A and Brown, Matthew RG and Greiner, Russell and Polosecki, Pablo I and Bashivan, Pouya and Greenshaw, Andrew J and Ramasubbu, Rajamannar and Dursun, Serdar M},\n  journal={NPJ schizophrenia},\n  volume={3},\n  number={1},\n  pages={22},\n  year={2017},\n  publisher={Nature Publishing Group UK London}\n}\n\n
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\n \n\n \n \n \n \n \n Temporal progression in functional connectivity determines individual differences in working memory capacity.\n \n \n \n\n\n \n Bashivan, P.; Yeasin, M.; and Bidelman, G. M\n\n\n \n\n\n\n In 2017 International Joint Conference on Neural Networks (IJCNN), pages 2943–2949, 2017. IEEE\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@inproceedings{bashivan2017temporal,\n  title={Temporal progression in functional connectivity determines individual differences in working memory capacity},\n  author={Bashivan, Pouya and Yeasin, Mohammed and Bidelman, Gavin M},\n  booktitle={2017 International Joint Conference on Neural Networks (IJCNN)},\n  pages={2943--2949},\n  year={2017},\n  organization={IEEE}\n}\n\n
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\n \n\n \n \n \n \n \n Learning neural markers of schizophrenia disorder using recurrent neural networks.\n \n \n \n\n\n \n Dakka, J.; Bashivan, P.; Gheiratmand, M.; Rish, I.; Jha, S.; and Greiner, R.\n\n\n \n\n\n\n arXiv preprint arXiv:1712.00512. 2017.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{dakka2017learning,\n  title={Learning neural markers of schizophrenia disorder using recurrent neural networks},\n  author={Dakka, Jumana and Bashivan, Pouya and Gheiratmand, Mina and Rish, Irina and Jha, Shantenu and Greiner, Russell},\n  journal={arXiv preprint arXiv:1712.00512},\n  year={2017}\n}\n\n
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\n  \n 2016\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n Evaluating effects of methylphenidate on brain activity in cocaine addiction: a machine-learning approach.\n \n \n \n\n\n \n Rish, I.; Bashivan, P.; Cecchi, G. A; and Goldstein, R. Z\n\n\n \n\n\n\n In Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 9788, pages 173–179, 2016. SPIE\n \n\n\n\n
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@inproceedings{rish2016evaluating,\n  title={Evaluating effects of methylphenidate on brain activity in cocaine addiction: a machine-learning approach},\n  author={Rish, Irina and Bashivan, Pouya and Cecchi, Guillermo A and Goldstein, Rita Z},\n  booktitle={Medical Imaging 2016: Biomedical Applications in Molecular, Structural, and Functional Imaging},\n  volume={9788},\n  pages={173--179},\n  year={2016},\n  organization={SPIE}\n}\n\n
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\n \n\n \n \n \n \n \n Commonality and singularity in working memory network predicting performance and individual differences.\n \n \n \n\n\n \n Bashivan, P.\n\n\n \n\n\n\n Ph.D. Thesis, The University of Memphis, 2016.\n \n\n\n\n
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@phdthesis{bashivan2016commonality,\n  title={Commonality and singularity in working memory network predicting performance and individual differences},\n  author={Bashivan, Pouya},\n  year={2016},\n  school={The University of Memphis}\n}\n\n
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\n  \n 2015\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n Learning representations from EEG with deep recurrent-convolutional neural networks.\n \n \n \n\n\n \n Bashivan, P.; Rish, I.; Yeasin, M.; and Codella, N.\n\n\n \n\n\n\n arXiv preprint arXiv:1511.06448. 2015.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
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@article{bashivan2015learning,\n  title={Learning representations from EEG with deep recurrent-convolutional neural networks},\n  author={Bashivan, Pouya and Rish, Irina and Yeasin, Mohammed and Codella, Noel},\n  journal={arXiv preprint arXiv:1511.06448},\n  year={2015}\n}\n\n
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\n \n\n \n \n \n \n \n Mental State Recognition via Wearable EEG.\n \n \n \n\n\n \n Bashivan, P.; Rish, I.; and Heisig, S.\n\n\n \n\n\n\n In Proceedings of 5th NIPS workshop on Machine Learning and Interpretation in Neuroimaging (MLINI15), volume 5, 2015. \n \n\n\n\n
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@inproceedings{bashivan2015mental,\n  title={Mental State Recognition via Wearable EEG},\n  author={Bashivan, Pouya and Rish, Irina and Heisig, Steve},\n  booktitle={Proceedings of 5th NIPS workshop on Machine Learning and Interpretation in Neuroimaging (MLINI15)},\n  volume={5},\n  number={1},\n  year={2015}\n}\n\n
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\n \n\n \n \n \n \n \n Single trial prediction of normal and excessive cognitive load through EEG feature fusion.\n \n \n \n\n\n \n Bashivan, P.; Yeasin, M.; and Bidelman, G. M\n\n\n \n\n\n\n In 2015 IEEE signal processing in medicine and biology symposium (SPMB), pages 1–5, 2015. IEEE\n \n\n\n\n
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@inproceedings{bashivan2015single,\n  title={Single trial prediction of normal and excessive cognitive load through EEG feature fusion},\n  author={Bashivan, Pouya and Yeasin, Mohammed and Bidelman, Gavin M},\n  booktitle={2015 IEEE signal processing in medicine and biology symposium (SPMB)},\n  pages={1--5},\n  year={2015},\n  organization={IEEE}\n}\n\n
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\n  \n 2014\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n Modulation of brain connectivity by memory load in a working memory network.\n \n \n \n\n\n \n Bashivan, P.; Yeasin, M.; and Bidelman, G. M\n\n\n \n\n\n\n In 2014 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB), pages 127–133, 2014. IEEE\n \n\n\n\n
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@inproceedings{bashivan2014modulation,\n  title={Modulation of brain connectivity by memory load in a working memory network},\n  author={Bashivan, Pouya and Yeasin, Mohammed and Bidelman, Gavin M},\n  booktitle={2014 IEEE Symposium on Computational Intelligence, Cognitive Algorithms, Mind, and Brain (CCMB)},\n  pages={127--133},\n  year={2014},\n  organization={IEEE}\n}\n\n
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\n \n\n \n \n \n \n \n Spectrotemporal dynamics of the EEG during working memory encoding and maintenance predicts individual behavioral capacity.\n \n \n \n\n\n \n Bashivan, P.; Bidelman, G. M; and Yeasin, M.\n\n\n \n\n\n\n European Journal of Neuroscience, 40(12): 3774–3784. 2014.\n \n\n\n\n
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@article{bashivan2014spectrotemporal,\n  title={Spectrotemporal dynamics of the EEG during working memory encoding and maintenance predicts individual behavioral capacity},\n  author={Bashivan, Pouya and Bidelman, Gavin M and Yeasin, Mohammed},\n  journal={European Journal of Neuroscience},\n  volume={40},\n  number={12},\n  pages={3774--3784},\n  year={2014}\n}\n\n
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\n  \n 2013\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Neural correlates of visual working memory load through unsupervised spatial filtering of EEG.\n \n \n \n\n\n \n Bashivan, P.; Bidelman, G. M; and Yeasin, M.\n\n\n \n\n\n\n In Proceedings of 3rd workshop on Machine Learning and Interpretation in Neuroimaging, 2013. \n \n\n\n\n
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@inproceedings{bashivan2013neural,\n  title={Neural correlates of visual working memory load through unsupervised spatial filtering of EEG},\n  author={Bashivan, Pouya and Bidelman, Gavin M and Yeasin, Mohammed},\n  booktitle={Proceedings of 3rd workshop on Machine Learning and Interpretation in Neuroimaging},\n  year={2013}\n}\n\n
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\n  \n 2012\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Improved switching for multiple model adaptive controller in noisy environment.\n \n \n \n\n\n \n Bashivan, P.; and Fatehi, A.\n\n\n \n\n\n\n Journal of Process Control, 22(2): 390–396. 2012.\n \n\n\n\n
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@article{bashivan2012improved,\n  title={Improved switching for multiple model adaptive controller in noisy environment},\n  author={Bashivan, Pouya and Fatehi, Alireza},\n  journal={Journal of Process Control},\n  volume={22},\n  number={2},\n  pages={390--396},\n  year={2012},\n  publisher={Elsevier}\n}\n\n
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\n  \n 2009\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n Design of multiple model controller using SOM neural network.\n \n \n \n\n\n \n Bashivan, P; and FATEHI, A.\n\n\n \n\n\n\n . 2009.\n \n\n\n\n
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@article{bashivan2009design,\n  title={Design of multiple model controller using SOM neural network},\n  author={Bashivan, P and FATEHI, AR},\n  year={2009},\n  publisher={Journal of Control}\n}\n\n
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\n  \n 2008\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n An experimental comparison of adaptive controllers on a pH neutralization pilot plant.\n \n \n \n\n\n \n Peymani, E.; Fatehi, A.; Bashivan, P.; and Sedigh, A. K.\n\n\n \n\n\n\n In 2008 Annual IEEE India Conference, volume 2, pages 377–382, 2008. IEEE\n \n\n\n\n
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@inproceedings{peymani2008experimental,\n  title={An experimental comparison of adaptive controllers on a pH neutralization pilot plant},\n  author={Peymani, Ehsan and Fatehi, Alireza and Bashivan, Pouya and Sedigh, Ali Khaki},\n  booktitle={2008 Annual IEEE India Conference},\n  volume={2},\n  pages={377--382},\n  year={2008},\n  organization={IEEE}\n}\n\n
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\n \n\n \n \n \n \n \n Multiple-model control of pH neutralization plant using the SOM neural networks.\n \n \n \n\n\n \n Bashivan, P.; Fatehi, A.; and Peymani, E.\n\n\n \n\n\n\n In 2008 Annual IEEE India Conference, volume 1, pages 115–119, 2008. IEEE\n \n\n\n\n
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@inproceedings{bashivan2008multiple,\n  title={Multiple-model control of pH neutralization plant using the SOM neural networks},\n  author={Bashivan, Pouya and Fatehi, Alireza and Peymani, Ehsan},\n  booktitle={2008 Annual IEEE India Conference},\n  volume={1},\n  pages={115--119},\n  year={2008},\n  organization={IEEE}\n}\n\n
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\n \n\n \n \n \n \n \n Aligning Artificial Neural Networks to the Brain yields Shallow Recurrent Architectures.\n \n \n \n\n\n \n Kubilius, J.; Schrimpf, M.; Hong, H.; Majaj, N. J; Rajalingham, R.; Issa, E. B; Kar, K.; Bashivan, P.; Prescott-Roy, J.; Schmidt, K.; and others\n\n\n \n\n\n\n . .\n \n\n\n\n
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@article{kubiliusaligning,\n  title={Aligning Artificial Neural Networks to the Brain yields Shallow Recurrent Architectures},\n  author={Kubilius, Jonas and Schrimpf, Martin and Hong, Ha and Majaj, Najib J and Rajalingham, Rishi and Issa, Elias B and Kar, Kohitij and Bashivan, Pouya and Prescott-Roy, Jonathan and Schmidt, Kailyn and others}\n}\n\n
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\n \n\n \n \n \n \n \n A Neurobiological Evaluation Metric for Neural Network Model Search: Supplemental Material.\n \n \n \n\n\n \n Blanchard, N.; Kinnison, J.; RichardWebster, B.; Bashivan, P.; and Scheirer, W. J\n\n\n \n\n\n\n . .\n \n\n\n\n
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@article{blanchardneurobiological,\n  title={A Neurobiological Evaluation Metric for Neural Network Model Search: Supplemental Material},\n  author={Blanchard, Nathaniel and Kinnison, Jeffery and RichardWebster, Brandon and Bashivan, Pouya and Scheirer, Walter J}\n}\n\n
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\n \n\n \n \n \n \n \n Supplementary Material for Teacher Guided Architecture Search.\n \n \n \n\n\n \n Bashivan, P.; Tensen, M.; and DiCarlo, J. J\n\n\n \n\n\n\n . .\n \n\n\n\n
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@article{bashivansupplementary,\n  title={Supplementary Material for Teacher Guided Architecture Search},\n  author={Bashivan, Pouya and Tensen, Mark and DiCarlo, James J}\n}\n\n
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\n \n\n \n \n \n \n \n Geometry of naturalistic object representations in models of working memory.\n \n \n \n\n\n \n Lei, X.; Ito, T.; and Bashivan, P.\n\n\n \n\n\n\n . .\n \n\n\n\n
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@article{leigeometry,\n  title={Geometry of naturalistic object representations in models of working memory},\n  author={Lei, Xiaoxuan and Ito, Takuya and Bashivan, Pouya}\n}\n\n
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\n \n\n \n \n \n \n \n A Geometric Lens on RL Environment Complexity Based on Ricci Curvature.\n \n \n \n\n\n \n Pasand, A. S.; Castro, P. S.; and Bashivan, P.\n\n\n \n\n\n\n In Workshop on Reinforcement Learning Beyond Rewards@ Reinforcement Learning Conference 2025, . \n \n\n\n\n
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@inproceedings{pasand2025geometric,\n  title={A Geometric Lens on RL Environment Complexity Based on Ricci Curvature},\n  author={Pasand, Ali Saheb and Castro, Pablo Samuel and Bashivan, Pouya},\n  booktitle={Workshop on Reinforcement Learning Beyond Rewards@ Reinforcement Learning Conference 2025}\n}\n\n
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\n \n\n \n \n \n \n \n Zero-shot neural predictivity in human prefrontal cortex with a massively multi-task multimodal transformer.\n \n \n \n\n\n \n Gomez, L.; Ktari, A.; Bai, M.; and Bashivan, P.\n\n\n \n\n\n\n In Data on the Brain $\\{$\\X$\\}$ Mind Findings, . \n \n\n\n\n
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@inproceedings{gomezzero,\n  title={Zero-shot neural predictivity in human prefrontal cortex with a massively multi-task multimodal transformer},\n  author={Gomez, Lucas and Ktari, Aziz and Bai, Mark and Bashivan, Pouya},\n  booktitle={Data on the Brain $\\{$$\\backslash$\\&$\\}$ Mind Findings}\n}\n\n
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\n \n\n \n \n \n \n \n A Goal-driven Model of Visual Search in Natural Scenes Replicates Human Behavior While Relying on Similar Neural Representations.\n \n \n \n\n\n \n Pourrahimi, M.; Rish, I.; and Bashivan, P.\n\n\n \n\n\n\n . .\n \n\n\n\n
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@article{pourrahimigoal,\n  title={A Goal-driven Model of Visual Search in Natural Scenes Replicates Human Behavior While Relying on Similar Neural Representations},\n  author={Pourrahimi, Motahareh and Rish, Irina and Bashivan, Pouya}\n}\n\n
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