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
https://t.co/qM4wBcl2GK
What makes human pyramidal neurons uniquely suited for complex information processing? How can human neurons’ distinct properties contribute to our advanced cognitive abilities?
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)
What makes us human? A new review from my colleagues at the @Segev_Lab discusses how neuronal modeling can help answer this question.
https://t.co/fM8C0lG7V5
Neuroscience Unleashed in Jerusalem July 20–24 2025
An international graduate school on consciousness, NeuroAI, brain-machine interfaces, psychedelics & organoids. Graduate students & postdocs: Apply by April 19 2025 https://t.co/dsv8TGWZ3W
RT to help spread the word 🙏
Read the paper- Chindemi et al 2022 - A calcium-based plasticity model for predicting long-term potentiation and depression in the neocortex - https://t.co/smufewpMWP published in @NatureComms
Find out more - https://t.co/lKoB6L3GND
#plasticity#insilico
@DavidBeniaguev et al. show that “dendro-plexing” of the presynaptic spike due to dendritic cable filtering of distal vs. proximal synapses, combined with multiple synaptic contacts, both “saves” axonal wiring and boosts the memory capacity of neurons.
@mikilon@SapirShapira2
A new preprint about how adding dendrites can potentially explain the phenomenon of multiple synaptic contacts between neurons in the brain:
bioRxiv: https://t.co/VnCG527kfc
With @sapir_shap @mikilon@Segev_Lab
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.
https://t.co/IksVsjM8Sw
לא רק בכתב! 📣😀🗨️
הצטרפו אלינו לסדרה של חמישה מפגשים בהנחיית @YMalchi המפגישה את הילדים והילדות שלכם עם החוקרים מאחורי המאמרים (ללא תשלום, דורש רישום) - https://t.co/r5DbfY4ueqמדע-ללא-גבולות/
@Segev_Lab@Amiramedi פרופ' שרית לריש @YovelBatLab@MeravAhissar
I am heading a fascinating endeavor - @FrontYoung_IL, a scientific journal for kids, written by prominent scientists and reviewed by kids! This exciting and unique format allows direct interaction between scientists and kids, benefiting both sides.
Follow us on twitter!
קצת עלינו -
מי אנחנו? כתב עת בינלאומי מדעי מקוון לילדים. 👩🔬🧪📘🧑💻
הכותבים שלנו הם מדענים מובילים מהארץ והעולם. אנחנו מאמינים שהדרך הטובה ביותר להנגיש תגליות מדעיות לצעירים היא לאפשר להם לעבוד יחד עם המדענים, ולכן כתב העת *נערך על ידי ילדים*.
https://t.co/gJ8Ux2OsUc
1/4
In our paper Burst Control, we explore the synaptic input conditions leading to spike burst firing in layer 5 pyramidal cells
https://t.co/FwS669zkfN
@Segev_Lab@ELSCbrain
New paper from Blue Brain & the Hebrew University of Jerusalem.
The study uses one of the most detailed models of a piece of brain tissue & modern network science & systematically studies the impact of cell types on network activity in health and disease
https://t.co/pfC7ZejpoT
A new paper by @DavidBeniaguev from my lab. and that of @mikilon using machine learning approach to systematically quantify and compare how "computationally deep" are different neuron types.
Out work about "Single Cortical Neurons as Deep Artificial Neural Networks" was finally published in Neuron
With @mikilon and @Segev_Lab@NeuroCellPress paper: https://t.co/XOrRxVVEjO
code: https://t.co/IGH8DmCucr
data: https://t.co/QswJsD5zfV
All new results in thread below
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.
https://t.co/Pvhqwtakuv
New paper from the lab. The G-clusteron is a model neuron with a single "dendrite" where synapses exhibit distance-dependent multiplicative interactions with each other. It can learn tasks like MNIST via a gradient descent algorithm which makes synapses attract\repel.
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.
https://t.co/m6YpCdl7Ab
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.
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 https://t.co/rJqpaPYMac
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
https://t.co/i4ngKX6dOL
THREAD