Zobrazeno 1 - 10
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pro vyhledávání: '"Jack D. Cowan"'
Publikováno v:
Network Neuroscience, Vol 7, Iss 2, Pp 679-711 (2023)
AbstractWhile our understanding of the way single neurons process chromatic stimuli in the early visual pathway has advanced significantly in recent years, we do not yet know how these cells interact to form stable representations of hue. Drawing on
Externí odkaz:
https://doaj.org/article/da35aeaf867a41379346f8f16fc90f39
Autor:
Jack D. Cowan, Hugh R. Wilson
Publikováno v:
Biological Cybernetics. 115:643-653
The Wilson-Cowan equations were developed to provide a simplified yet powerful description of neural network dynamics. As such, they embraced nonlinear dynamics, but in an interpretable form. Most importantly, it was the first mathematical formulatio
Publikováno v:
PLoS ONE, Vol 6, Iss 5, p e14804 (2011)
Networks of neurons produce diverse patterns of oscillations, arising from the network's global properties, the propensity of individual neurons to oscillate, or a mixture of the two. Here we describe noisy limit cycles and quasi-cycles, two related
Externí odkaz:
https://doaj.org/article/7ba6c337a9f8437ca4a6b91d260d179a
Publikováno v:
PLoS Computational Biology, Vol 6, Iss 7, p e1000846 (2010)
Neuronal avalanches are a form of spontaneous activity widely observed in cortical slices and other types of nervous tissue, both in vivo and in vitro. They are characterized by irregular, isolated population bursts when many neurons fire together, w
Externí odkaz:
https://doaj.org/article/438708db2de04fcaba5e8a60cc069d62
Autor:
Jack D. Cowan
Publikováno v:
Biological Process in Living Systems ISBN: 9781351297165
Biological Process in Living Systems
Biological Process in Living Systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b835bfede93974a92956a6bd3302e381
https://doi.org/10.4324/9781351297165-8
https://doi.org/10.4324/9781351297165-8
Autor:
Peter J. Thomas, Jack D. Cowan
Publikováno v:
Journal of Mathematical Biology. 65:1149-1186
We derive generalized spin models for the development of feedforward cortical architecture from a Hebbian synaptic learning rule in a two layer neural network with nonlinear weight constraints. Our model takes into account the effects of lateral inte
Publikováno v:
Journal of Clinical Neurophysiology. 27:458-464
Epileptiform activity in the EEG is frequently characterized by rhythmic, correlated patterns or synchronized bursts. Long-range temporal correlations (LRTC) are described by power law scaling of the autocorrelation function and have been observed in
Publikováno v:
Neural Computation. 22:377-426
Population rate or activity equations are the foundation of a common approach to modeling for neural networks. These equations provide mean field dynamics for the firing rate or activity of neurons within a network given some connectivity. The shortc
Autor:
Jack D. Cowan, Tanya I. Baker
Publikováno v:
Journal of Physiology-Paris. 103:52-68
A mean field approach to the population activity of cortical neurons is used to provide a possible mechanism for the generation of geometric visual hallucinations. As was previously investigated, competition between short-range excitation and longer-
Autor:
Jack D. Cowan
Publikováno v:
BMC Neuroscience. 16
Experimental data collected over the last decade indicates that there exist at least two distinct modes of cortical response to stimuli. In mode 1 a low intensity stimulus triggers a wave that propagates at a velocity of about 0.3 m/sec, with an ampl