We present an adaptive filter algorithm for tracking neural receptive field plasticity based on point process models of spike train activity. We derive an ...
We apply ALD to neural data from retinal ganglion cells and V1 simple cells, and find it achieves error rates several times lower than standard ...
the Effective Receptive Field in Deep Convolutional Neural Networks
RT @mikio_aoi: Check out our new preprint!
Our understanding of nonlinear stimulus transformations by neural circuits is hindered
It will be impossible to keep track of the receptive field information in a deep CNN . (Right column) The fixed-sized CNN feature map visualization, ...
For example, it is possible that during attentive tracking, a neuron multiplicatively ... To test whether tracking causes a nonlinear receptive field ...
... the neuronal response properties. Feedforward connections follow relatively rigid rules of wiring selectively targeting neurons with receptive fields matched in ...
Algorithm. Accurately tracking receptive field plasticity requires a method that can .
So, in a neural network context, the receptive field is defined as the size of the region in the input that produces ...