Everton J Agnes

New preprint with @sevberg.bsky.social! We map Hopfield-like binary networks onto spiking networks with dendrites … and it works! Same memory capacity, bigger basins of attraction, plus selective recall through dendritic gating, and more. How? Dendrites! See below.

Our framework can also be used to predict or create hypotheses about spiking and dendritic activity based on memory organisation. Fluorescence correlations between dendritic branches directly reveal how memory sets are organised. Each branch tells a different story.

New preprint with @sevberg.bsky.social! We map Hopfield-like binary networks onto spiking networks with dendrites … and it works! Same memory capacity, bigger basins of attraction, plus selective recall through dendritic gating, and more. How? Dendrites! See below.

There are two ways to control memory set accessibility: external or autonomous. To show that a feedback loop can do this, we built a system of connected networks. A readout network identifies which memory is being recalled and sends inhibition back to the dendrites that need shunting.

New preprint with @sevberg.bsky.social! We map Hopfield-like binary networks onto spiking networks with dendrites … and it works! Same memory capacity, bigger basins of attraction, plus selective recall through dendritic gating, and more. How? Dendrites! See below.

These voltage fixed points act like the 0s and 1s of a Hopfield network, letting us map binary connectivity onto the spiking network. Same number of stored memories, but recall works from smaller and noisier cues!

New preprint with @sevberg.bsky.social! We map Hopfield-like binary networks onto spiking networks with dendrites … and it works! Same memory capacity, bigger basins of attraction, plus selective recall through dendritic gating, and more. How? Dendrites! See below.