Spatial gradients and multidimensional dynamics in a neural integrator circuit. Miri, A., Daie, K., Arrenberg, A. B, Baier, H., Aksay, E., & Tank, D. W Nature neuroscience, 14(9):1150–9, September, 2011. ![Spatial gradients and multidimensional dynamics in a neural integrator circuit. [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex In a neural integrator, the variability and topographical organization of neuronal firing-rate persistence can provide information about the circuit's functional architecture. We used optical recording to measure the time constant of decay of persistent firing (persistence time) across a population of neurons comprising the larval zebrafish oculomotor velocity-to-position neural integrator. We found extensive persistence time variation (tenfold; coefficients of variation = 0.58-1.20) across cells in individual larvae. We also found that the similarity in firing between two neurons decreased as the distance between them increased and that a gradient in persistence time was mapped along the rostrocaudal and dorsoventral axes. This topography is consistent with the emergence of persistence time heterogeneity from a circuit architecture in which nearby neurons are more strongly interconnected than distant ones. Integrator circuit models characterized by multiple dimensions of slow firing-rate dynamics can account for our results.
@article{Miri2011,
title = {Spatial gradients and multidimensional dynamics in a neural integrator circuit.},
volume = {14},
issn = {1546-1726},
url = {http://www.ncbi.nlm.nih.gov/pubmed/21857656},
doi = {10.1038/nn.2888},
abstract = {In a neural integrator, the variability and topographical organization of neuronal firing-rate persistence can provide information about the circuit's functional architecture. We used optical recording to measure the time constant of decay of persistent firing (persistence time) across a population of neurons comprising the larval zebrafish oculomotor velocity-to-position neural integrator. We found extensive persistence time variation (tenfold; coefficients of variation = 0.58-1.20) across cells in individual larvae. We also found that the similarity in firing between two neurons decreased as the distance between them increased and that a gradient in persistence time was mapped along the rostrocaudal and dorsoventral axes. This topography is consistent with the emergence of persistence time heterogeneity from a circuit architecture in which nearby neurons are more strongly interconnected than distant ones. Integrator circuit models characterized by multiple dimensions of slow firing-rate dynamics can account for our results.},
number = {9},
urldate = {2012-07-25},
journal = {Nature neuroscience},
author = {Miri, Andrew and Daie, Kayvon and Arrenberg, Aristides B and Baier, Herwig and Aksay, Emre and Tank, David W},
month = sep,
year = {2011},
pmid = {21857656},
keywords = {\#nosource, Action Potentials, Animals, Animals, Genetically Modified, Brain Stem, Brain Stem: cytology, Calcium, Calcium: metabolism, Computer Simulation, Eye Movements, Eye Movements: genetics, Eye Movements: physiology, Functional Laterality, Gene Expression Regulation, Gene Expression Regulation: genetics, Gene Expression Regulation: physiology, Larva, Light, Microphthalmia-Associated Transcription Factor, Microphthalmia-Associated Transcription Factor: de, Models, Neurological, Nerve Net, Nerve Net: physiology, Neurons, Neurons: physiology, Nonlinear Dynamics, Photic Stimulation, Photic Stimulation: methods, Time Factors, Zebrafish, Zebrafish Proteins, Zebrafish Proteins: deficiency, Zebrafish Proteins: genetics, mae},
pages = {1150--9},
}
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