Neural population geometry: An approach for understanding biological and artificial neural networks. Chung, S. & Abbott, L. Current Opinion in Neurobiology, 70:137–144, October, 2021.
![Neural population geometry: An approach for understanding biological and artificial neural networks [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi bibtex
Paper doi bibtex Downloads: 0
{"_id":"33vL5cWy9tYrN8Bka","bibbaseid":"chung-abbott-neuralpopulationgeometryanapproachforunderstandingbiologicalandartificialneuralnetworks-2021","author_short":["Chung, S.","Abbott, L."],"bibdata":{"bibtype":"article","type":"article","title":"Neural population geometry: An approach for understanding biological and artificial neural networks","volume":"70","issn":"09594388","shorttitle":"Neural population geometry","url":"https://linkinghub.elsevier.com/retrieve/pii/S0959438821001227","doi":"10.1016/j.conb.2021.10.010","language":"en","urldate":"2022-01-27","journal":"Current Opinion in Neurobiology","author":[{"propositions":[],"lastnames":["Chung"],"firstnames":["SueYeon"],"suffixes":[]},{"propositions":[],"lastnames":["Abbott"],"firstnames":["L.F."],"suffixes":[]}],"month":"October","year":"2021","pages":"137–144","author_short":["Chung, S.","Abbott, L."],"key":"chungNeuralPopulationGeometry2021","id":"chungNeuralPopulationGeometry2021","bibbaseid":"chung-abbott-neuralpopulationgeometryanapproachforunderstandingbiologicalandartificialneuralnetworks-2021","role":"author","urls":{"Paper":"https://linkinghub.elsevier.com/retrieve/pii/S0959438821001227"},"metadata":{"authorlinks":{}},"html":""},"bibtype":"article","biburl":"https://bibbase.org/zotero/harish.ravichandar","dataSources":["KhfhF8P52iu5Szymq"],"keywords":[],"search_terms":["neural","population","geometry","approach","understanding","biological","artificial","neural","networks","chung","abbott"],"title":"Neural population geometry: An approach for understanding biological and artificial neural networks","year":2021}