Extended temporal association memory by inhibitory Hebbian learning

TL;DR

This paper explores how combining Hebbian and anti-Hebbian learning of inhibitory synapses extends the temporal association span in neural networks, revealing a novel role for inhibitory engrams in associative memory.

Contribution

It introduces a theoretical framework showing that inhibitory Hebbian and anti-Hebbian learning together enhance temporal associations in neural models.

Findings

Combining Hebbian and anti-Hebbian learning increases temporal association span.

Balance of inhibition regulates association length.

Inhibitory engrams play a significant role in associative memory.

Abstract

Hebbian learning of excitatory synapses plays a central role in storing activity patterns in associative memory models. Furthermore, interstimulus Hebbian learning associates multiple items in the brain by converting temporal correlation to spatial correlation between attractors. However, growing experimental evidence suggests that learning of inhibitory synapses creates "inhibitory engrams", which presumably balance with the patterns encoded in the excitatory network. Controlling inhibitory engrams may modify the behavior of associative memory in neural networks, but the consequence of such control has not been theoretically understood. Noting that Hebbian learning of inhibitory synapses yields an anti-Hebbian effect, we show that the combination of Hebbian and anti-Hebbian learning can increase the span of temporal association between the correlated attractors. The balance of targetted and global inhibition regulates this span of association in the network. Our results suggest a nontrivial role of anti-Hebbian learning and inhibitory engrams in associative memory.