@Segev_Lab

Professor of Computational Neuroscience at @ELSCbrain @HebrewU

 Israel
lobster.ls.huji.ac.il/idan
Joined February 2018
  • Tweets48
  • Following121
  • Followers1.1K
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Idan Segev retweeted
Dean Geckt@deangecktJun 25
Happy to share my new open source tool for exploring connected neurons in the #MICrONS dataset (thanks @AllenInstitute, again) It's in the browser, online & free. No login or install required. 1/
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Idan Segev retweeted
Dean Geckt@deangecktJun 18
What is the difference between excitatory and inhibitory neurons? Beyond the obvious difference of neurotransmitter effect on postsynaptic cell, another remarkable difference is the fact that excitatory neurons have lots of spines, while inhibitory neurons have less spines. 1/13
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Idan Segev retweeted
Netanel Ofer
@NetanelOferFeb 17
Introducing the “biophysics of connectomics”, bridging 3D EM reconstructions and biophysical modeling. Ultra-thin spine-neck constrictions act as electrical bottlenecks, driving ultra-fast EPSP dynamics. Great teamwork with @SapirShapira2 and @Segev_Lab biorxiv.org/content/10.64898…
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Human cortical pyramidal neurons are larger, exhibit more complex branching patterns, and feature distinctly nonlinear biophysical properties compared to rat cortical pyramidal neurons. Do these unique characteristics make human neurons more functionally complex? Would that enhance the capability of the human brain to perform complex computational tasks? Is this what makes us human? In our new preprint (see below) with @danielayoeli, @DavidBeniaguev, Christiaan de Kock, @mikilon, and @Segev_Lab we use deep learning to tackle these questions by comparing the complexity of neurons’ input-output (I/O) functions using our newly developed Functional Complexity Index (FCI) tool. (1/10)
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What makes us human? A new review from my colleagues at the @Segev_Lab discusses how neuronal modeling can help answer this question. frontiersin.org/journals/neu…

Frontiers | Biophysical and computational insights from modeling human cortical pyramidal neurons

The human brain’s remarkable computational power enables parallel processing of vast information, integrating sensory inputs, memories, and emotions for rapi...

frontiersin.org
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Read the paper- Chindemi et al 2022 - A calcium-based plasticity model for predicting long-term potentiation and depression in the neocortex - doi.org/10.1038/s41467-022-3… published in @NatureComms Find out more - actu.epfl.ch/news/does-one-s… #plasticity #insilico
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My band, @SynfireChain, released our first single! Then we played it to a zebrafish under a microscope with @LilachAvitan @ELSCbrain and put the calcium imaging video of its brain as the background to the lyric video. Because #science. youtu.be/vbrnnCXSa_M

Synfire Chain - Hunger (Official Lyric Video)

We played this song to a zebrafish while monitoring its brain activ...

youtube.com
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In our paper Burst Control, we explore the synaptic input conditions leading to spike burst firing in layer 5 pyramidal cells doi.org/10.1371/journal.pcbi… @Segev_Lab @ELSCbrain
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My and @MMKalmenson's #GradientClusteron paper is out in PLOS CB! Learn how a model #neuron with a single #dendrite can solve #MachineLearning tasks by making synapses attract and repel with a gradient descent rule! With @Segev_Lab and @ELSCbrain. journals.plos.org/ploscompbi…

The gradient clusteron: A model neuron that learns to solve classification tasks via dendritic...

Author summary Artificial neural networks (ANNs) have become among the most powerful tools in artificial intelligence and machine learning, enabling computers to solve complex tasks like image...

journals.plos.org
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In our paper Burst Control, we model the L5PC and analyze the conditions of synaptic activation in the apical and basal dendrites for burst generation. We found a novel burst-class, defined inhibitory control and correlated it with limiting plasticity. biorxiv.org/content/10.1101/…

Burst Control

The output of neocortical layer 5 pyramidal cells (L5PCs) is expressed by a train of single spikes with intermittent bursts of multiple spikes at high frequencies. The bursts are the result of...

biorxiv.org
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So, I am Happy to share this central effort from my PhD. Pop-Rec is a high throughput method for unbiased, completely automated reconstruction of thousands of neurons from cleared mouse brains. biorxiv.org/content/10.1101/…
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This new version, allows normalization between samples, reducing experimental variability (assuming assumptions are met!). We used this MATLAB based tool (sorry @FijiSc users :( ) to correct 2-Photon, Light-Sheet and confocal datasets.
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Idan Segev retweeted
ELSC Brain@ELSCbrain21 Jul 2020
Beautiful thread by @Oren_Amsalem from @Segev_Lab explaining his work! He and his colleagues used a detailed model of the neocortex to obtain cell-type-specific insights on stimulus specific adaptation (SSA) in the auditory cortex. Read it at biorxiv.org/content/10.1101/…

Dense Computer Replica of Cortical Microcircuits Unravels Cellular Underpinnings of Auditory...

The nervous system is notorious for its strong response evoked by a surprising sensory input, but the biophysical and anatomical underpinnings of this phenomenon are only partially understood. Here...

biorxiv.org
Oren Amsalem@Oren_Amsalem11 Jun 2020
Replicating experiments in a supercomputer can help us understand the brain 1) We replicated auditory experiments (usually of rat/mice) on a detailed model of the neocortex and discovered novel mechanism for the phenomena observed in the experiments biorxiv.org/content/10.1101/… THREAD
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Replicating experiments in a supercomputer can help us understand the brain 1) We replicated auditory experiments (usually of rat/mice) on a detailed model of the neocortex and discovered novel mechanism for the phenomena observed in the experiments biorxiv.org/content/10.1101/… THREAD
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Excited to share new work from Arthur Sugden and colleagues in @NatureNeuro using two-photon calcium imaging in visual association cortex to examine offline reactivations of recent sensory experiences during cue-reward learning. ift.tt/3cFX3hz More in THREAD … 1/4.
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Paper is published! If you've ever wondered about whether real neurons are anything like the nodes in artificial neural networks... frontiersin.org/articles/10.…

Frontiers | Perceptron Learning and Classification in a Modeled Cortical Pyramidal Cell

The perceptron learning algorithm and its multiple-layer extension, the backpropagation algorithm, are the foundations of the present-day machine learning re...

frontiersin.org
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Neuronal analysis with NeuroMorphoVis. Download the latest release and create analysis plots with a single click. github.com/BlueBrain/NeuroMo… @GreenJournal @EJNeuroscience @FENSorg @AllenInstitute @Oren_Amsalem @NeurosciIBRO @neuinfo @eye_wire @Segev_Lab @NeuroCellPress
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Idan Segev retweeted
ELSC Brain@ELSCbrain16 Apr 2020
מהו פרוייקט המוח הכחול? מה הקשר בין תאי גזע עובריים ומחלות ניווניות של המוח? מהי מהפכת הלמידה העמוקה? מדוע אנחנו נהנים ממוסיקה? אנו מזמינים אתכם לעשות "Zoom למוח”, בסדרה של 13 הרצאות פתוחות לקהל הרחב. לפרטים על ההרצאות והרשמה: elsc.huji.ac.il/events/brain…
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A challenge for #coronasparetime: so @DavidBeniaguev can predict the spikes of a realistic layer 5 pyramidal neuron simulation at the ms level with exquisite precision using a 7 layers deep neural network. Now that the code and data are online (@kaggle) can you beat us?
David Beniaguev
@DavidBeniaguev29 Mar 2020
Code, data and pre-trained networks released for our work "Single Cortical Neurons as Deep Artificial Neural Networks" #tweeprint updated preprint: biorxiv.org/content/10.1101/… replicating main result on @kaggle: kaggle.com/selfishgene/singl… github repo: github.com/SelfishGene/neuro… (1/n)
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In our latest paper (@eLife) we show how to use spikelets to unravel the architecture of electrically coupled networks doi.org/10.7554/eLife.43560 #gapjunction
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