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pro vyhledávání: '"Ocker, Gabriel Koch"'
Neurons in the brain continuously process the barrage of sensory inputs they receive from the environment. A wide array of experimental work has shown that the collective activity of neural populations encodes and processes this constant bombardment
Externí odkaz:
http://arxiv.org/abs/2406.07445
Autor:
Ocker, Gabriel Koch
The neural dynamics generating sensory, motor, and cognitive functions are commonly understood through field theories for neural population activity. Classic neural field theories are derived from highly simplified models of individual neurons, while
Externí odkaz:
http://arxiv.org/abs/2202.07751
Autor:
Ocker, Gabriel Koch, Buice, Michael A.
Biological synaptic plasticity exhibits nonlinearities that are not accounted for by classic Hebbian learning rules. Here, we introduce a simple family of generalized nonlinear Hebbian learning rules. We study the computations implemented by their dy
Externí odkaz:
http://arxiv.org/abs/2106.15685
Autor:
Ocker, Gabriel Koch, Hu, Yu, Buice, Michael A., Doiron, Brent, Josić, Krešimir, Rosenbaum, Robert, Shea-Brown, Eric
An essential step toward understanding neural circuits is linking their structure and their dynamics. In general, this relationship can be almost arbitrarily complex. Recent theoretical work has, however, begun to identify some broad principles under
Externí odkaz:
http://arxiv.org/abs/1703.03132
Publikováno v:
PLoS Computational Biology 2017;13(6):e1005583
Recent experimental advances are producing an avalanche of data on both neural connectivity and neural activity. To take full advantage of these two emerging datasets we need a framework that links them, revealing how collective neural activity arise
Externí odkaz:
http://arxiv.org/abs/1610.03828
Autor:
Ocker, Gabriel Koch, Doiron, Brent
The synaptic connectivity of cortex is plastic, with experience shaping the ongoing interactions between neurons. Theoretical studies of spike timing-dependent plasticity (STDP) have focused on either just pairs of neurons or large-scale simulations
Externí odkaz:
http://arxiv.org/abs/1608.00064
The synaptic connectivity of cortical networks features an overrepresentation of certain wiring motifs compared to simple random-network models. This structure is shaped, in part, by synaptic plasticity that promotes or suppresses connections between
Externí odkaz:
http://arxiv.org/abs/1411.3956
Autor:
Ocker, Gabriel Koch1 (AUTHOR) gkocker@bu.edu, Buice, Michael A.1,2 (AUTHOR)
Publikováno v:
PLoS Computational Biology. 8/3/2020, Vol. 16 Issue 8, p1-29. 29p. 3 Diagrams, 2 Charts, 4 Graphs.
Autor:
Recanatesi, Stefano1 stefanor@uw.edu, Ocker, Gabriel Koch2, Buice, Michael A.1,2,3, Shea-Brown, Eric1,2,3
Publikováno v:
PLoS Computational Biology. 7/12/2019, Vol. 15 Issue 7, p1-29. 29p. 2 Diagrams, 4 Graphs.
Autor:
Ocker, Gabriel Koch1, Josić, Krešimir2,3, Shea-Brown, Eric1,4,5, Buice, Michael A.1,4 michaelbu@alleninstitute.org
Publikováno v:
PLoS Computational Biology. 6/23/2017, Vol. 13 Issue 6, p1-46. 46p. 15 Diagrams, 1 Chart, 5 Graphs.