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Topic: spike frequency adaptation

ePoster
1 ePoster

In Biology and Computational Biology

ePoster · Computational Neuroscience

Cooperative coding of continuous variables in networks with sparsity constraint

Paul Züge, Raoul-Martin Memmesheimer · Bernstein Conference 2024

A hallmark of biological and artificial neural networks is that neurons tile the range of continuous sensory inputs and intrinsic variables with overlapping responses. It is characteristic for the underlying recurrent connectivity in the cortex that neurons with similar tuning predominantly excite each other. The reason for such an architecture is not clear. Using an analytically tractable model, we show that it can naturally arise from a cooperative coding scheme. In this scheme neurons with similar responses specifically support each other by sharing their computations to obtain the desired