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David Beniaguev Profile picture
David Beniaguev
@DavidBeniaguev
Computational Neuroscience PhD Student. Trying to understand the Brain with the hope to help build AI someday. For fun, I build ML Generative Models.
Jun 3, 2022 • 4 tweets • 2 min read
"What in your opinion is the most beautiful scientific piece of research in the field of computational neuroscience in the last 40 years?"

I've asked this of panelists in the latest Gatsby meeting this past week, and I thought it would be interesting to share the responses: Larry Abbott's response was about the ring model.

If I'm not mistaken these are the original works proposing this (1995,1996):
pnas.org/doi/abs/10.107…
jneurosci.org/content/16/6/2…
Aug 13, 2021 • 15 tweets • 9 min read
Out work about "Single Cortical Neurons as Deep Artificial Neural Networks" was finally published in Neuron

With @mikilon and @Segev_Lab

@NeuroCellPress paper: bit.ly/3CJic8E
code: bit.ly/3CJUeKv
data: bit.ly/3xIm6uW

All new results in thread below 1. Our key result is that a temporal convolutional network with 5-8 layers can approximate a full detailed cortical neuron with all of it's biological complexity at 1 millisecond time resolution
May 24, 2019 • 15 tweets • 7 min read
A story of a Cortical Neuron as a Deep Artificial Neural Net:

1) Neurons in the brain are bombarded with massive synaptic input distributed across a large tree like structure - its dendritic tree.
During this bombardment, the tree goes wild

preprint: biorxiv.org/content/10.110… 2) These beautiful electricity waves are the result of many different ion channels opening and closing, and electric current flowing IN and OUT and ALONG the neuron.

This is complex, a lot of things are going on, and the question arises - how can we understand this complexity?