@tyrell_turing@fediscience.org
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tyrell_turing

@[email protected]

Researcher in Montréal combining artificial intelligence and neuroscience. I post mostly science, occasional politics and house music.

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achterbrain, to neuroscience
@achterbrain@mastodon.social avatar

At , Jonathan Cornford presented a super cool new :

Synaptic Weight Distributions Depend on the Geometry of Plasticity
https://arxiv.org/abs/2305.19394

Jointly lead with Roman Pogodin, they develop a theory of how a cost function attached to weight changes during learning creates weight distributions observed in biology. Work done in @tyrell_turing group!

@neuroscience @CogCompNeuro

tyrell_turing,
@tyrell_turing@fediscience.org avatar

@achterbrain @neuroscience @CogCompNeuro

Thanks for posting this! We are excited about this work, and believe that the field is ready to start thinking more deeply about what "synaptic weight space" really looks like in the brain.

tyrell_turing,
@tyrell_turing@fediscience.org avatar

@Neurograce @achterbrain @neuroscience @CogCompNeuro

Good question. I think the SotA for doing it at scale is doing spine size reconstruction from EM data: https://elifesciences.org/articles/76120

But, this is an indirect measure. Paired patch-clamping remains the best means of measuring synaptic weights.

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