Abstract from:
Chance, F.S., Nelson, S.B. & Abbott, L.F. A Recurrent Network Model
for the Phase Invariance of Complex Cell Responses. Neurocomputing 32-33:
339-344
Cortical amplification is a mechanism for modifying the selectivity of
neurons through recurrent interactions. Although conventionally used to enhance
selectivity, cortical amplification can also broaden it, de-tuning neurons.
Here we show that the spatial-phase invariance of complex cell responses
in primary visual cortex can arise using recurrent amplification of feedforwardinput.
Neurons in the model network respond like simple cells when recurrent connections
are weak and complex cells when they are strong. Simple or complex cells
can coexist in such a network, and they can have a range of selectivities
for image characteristics such as spatial frequency.
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