Input shunt networks
Shunting inhibition is a neural network mechanism to perform pattern classification. It generates competition between representations through an alternative mechanism from lateral inhibition. I present a neurally plausible version of shunting inhibition, which I call input shunt networks. It is implemented with feedback connections, similar to connections found between cortical processing centers, and between the cortex and the thalamus in the mammalian brain.
input shunt pattern classification lateral inhibition recurrent connections neural model