Elad Schneidman

Elad Schneidman

Weizmann Institute of Science

H-index: 33

Asia-Israel

About Elad Schneidman

Elad Schneidman, With an exceptional h-index of 33 and a recent h-index of 25 (since 2020), a distinguished researcher at Weizmann Institute of Science, specializes in the field of theoretical neuroscience, machine learning, collective behavior, neural networks.

His recent articles reflect a diverse array of research interests and contributions to the field:

Homeostatic synaptic normalization optimizes learning in network models of neural population codes

The structure and function of neural connectomes are shaped by a small number of design principles

Reprogramming the topology of the nociceptive circuit in C. elegans reshapes sexual behavior

The computational and learning benefits of Daleian neural networks

Learning the architectural features that predict functional similarity of neural networks

The geometry of neuronal representations during rule learning reveals complementary roles of cingulate cortex and putamen

Estimating the unique information of continuous variables

Learning probabilistic neural representations with randomly connected circuits

Elad Schneidman Information

University

Position

The Joseph and Bessie Feinberg Professor

Citations(all)

6814

Citations(since 2020)

2336

Cited By

5421

hIndex(all)

33

hIndex(since 2020)

25

i10Index(all)

46

i10Index(since 2020)

36

Email

University Profile Page

Weizmann Institute of Science

Google Scholar

View Google Scholar Profile

Elad Schneidman Skills & Research Interests

theoretical neuroscience

machine learning

collective behavior

neural networks

Top articles of Elad Schneidman

Title

Journal

Author(s)

Publication Date

Homeostatic synaptic normalization optimizes learning in network models of neural population codes

bioRxiv

Jonathan Mayzel

Elad Schneidman

2023/3/5

The structure and function of neural connectomes are shaped by a small number of design principles

bioRxiv

Adam Haber

Adrian A Wanner

Rainer W Friedrich

Elad Schneidman

2023/3/15

Reprogramming the topology of the nociceptive circuit in C. elegans reshapes sexual behavior

Current Biology

Vladyslava Pechuk

Gal Goldman

Yehuda Salzberg

Aditi H Chaubey

R Aaron Bola

...

2022/10/24

The computational and learning benefits of Daleian neural networks

Advances in Neural Information Processing Systems (NeurIPS) 35

Adam Haber

Elad Schneidman

2022/10/12

Learning the architectural features that predict functional similarity of neural networks

Physical Review X

Adam Haber

Elad Schneidman

2022/6/3

The geometry of neuronal representations during rule learning reveals complementary roles of cingulate cortex and putamen

Neuron

Yarden Cohen

Elad Schneidman

Rony Paz

2021/3/3

Estimating the unique information of continuous variables

Advances in Neural Information Processing Systems (NeurIPS)

Ari Pakman

Amin Nejatbakhsh

Dar Gilboa

Abdullah Makkeh

Luca Mazzucato

...

2021/12/6

Learning probabilistic neural representations with randomly connected circuits

Proceedings of the National Academy of Sciences

Ori Maoz

Gašper Tkačik

Mohamad Saleh Esteki

Roozbeh Kiani

Elad Schneidman

2020/10/6

Social interactions drive efficient foraging and income equality in groups of fish

Elife

Roy Harpaz

Elad Schneidman

2020/8/25

Collective learning by ensembles of altruistic diversifying neural networks

arXiv preprint arXiv:2006.11671

Benjamin Brazowski

Elad Schneidman

2020/6/20

See List of Professors in Elad Schneidman University(Weizmann Institute of Science)

Co-Authors

H-index: 78
William Bialek

William Bialek

Princeton University

H-index: 65
Alon Chen

Alon Chen

Weizmann Institute of Science

H-index: 65
Idan Segev

Idan Segev

Hebrew University of Jerusalem

H-index: 52
Ofer Yizhar

Ofer Yizhar

Weizmann Institute of Science

H-index: 47
Ran El-Yaniv

Ran El-Yaniv

Technion - Israel Institute of Technology

H-index: 46
Ehud Ahissar

Ehud Ahissar

Weizmann Institute of Science

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