NeuroscienceeLifePeer-reviewed
Homeostatic synaptic normalization optimizes learning in network models of neural population codes
Jonathan Mayzel, Elad Schneidman
This paper introduces a new class of population code models based on reshaped sparse non-linear random projections, showing improved accuracy and efficiency in modeling neural activity from behaving monkeys.