TY - JOUR
T1 - Mechanisms of Neuronal Computation in Mammalian Visual Cortex
AU - Priebe, Nicholas J.
AU - Ferster, David
N1 - Funding Information:
This work was supported by NIH grants R01 EY04726 (D.F.) and R01 EY019288 (N.J.P.) and by a grant from the Pew Charitable Trusts (N.J.P.).
PY - 2012/7/26
Y1 - 2012/7/26
N2 - Orientation selectivity in the primary visual cortex (V1) is a receptive field property that is at once simple enough to make it amenable to experimental and theoretical approaches and yet complex enough to represent a significant transformation in the representation of the visual image. As a result, V1 has become an area of choice for studying cortical computation and its underlying mechanisms. Here we consider the receptive field properties of the simple cells in cat V1-the cells that receive direct input from thalamic relay cells-and explore how these properties, many of which are highly nonlinear, arise. We have found that many receptive field properties of V1 simple cells fall directly out of Hubel and Wiesel@s feedforward model when the model incorporates realistic neuronal and synaptic mechanisms, including threshold, synaptic depression, response variability, and the membrane time constant.
AB - Orientation selectivity in the primary visual cortex (V1) is a receptive field property that is at once simple enough to make it amenable to experimental and theoretical approaches and yet complex enough to represent a significant transformation in the representation of the visual image. As a result, V1 has become an area of choice for studying cortical computation and its underlying mechanisms. Here we consider the receptive field properties of the simple cells in cat V1-the cells that receive direct input from thalamic relay cells-and explore how these properties, many of which are highly nonlinear, arise. We have found that many receptive field properties of V1 simple cells fall directly out of Hubel and Wiesel@s feedforward model when the model incorporates realistic neuronal and synaptic mechanisms, including threshold, synaptic depression, response variability, and the membrane time constant.
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U2 - 10.1016/j.neuron.2012.06.011
DO - 10.1016/j.neuron.2012.06.011
M3 - Review article
C2 - 22841306
AN - SCOPUS:84864303772
SN - 0896-6273
VL - 75
SP - 194
EP - 208
JO - Neuron
JF - Neuron
IS - 2
ER -