| Cortical layer–specific critical dynamics triggering perception JH Marshel, YS Kim, TA Machado, S Quirin, B Benson, J Kadmon, C Raja, ... Science 365 (6453), eaaw5202, 2019 | 600 | 2019 |
| Statistical mechanics of deep learning Y Bahri, J Kadmon, J Pennington, SS Schoenholz, J Sohl-Dickstein, ... Annual Review of Condensed Matter Physics 11 (1), 501-528, 2020 | 290 | 2020 |
| Transition to chaos in random neuronal networks J Kadmon, H Sompolinsky Physical Review X 5 (4), 041030, 2015 | 250 | 2015 |
| Shared cortex-cerebellum dynamics in the execution and learning of a motor task MJ Wagner, TH Kim, J Kadmon, ND Nguyen, S Ganguli, MJ Schnitzer, ... Cell 177 (3), 669-682. e24, 2019 | 183 | 2019 |
| Molecular dynamics simulations of palmitate entry into the hydrophobic pocket of the fatty acid binding protein Y Tsfadia, R Friedman, J Kadmon, A Selzer, E Nachliel, M Gutman Febs Letters 581 (6), 1243-1247, 2007 | 51 | 2007 |
| Predictive coding in balanced neural networks with noise, chaos and delays J Kadmon, J Timcheck, S Ganguli Advances in neural information processing systems 33, 16677-16688, 2020 | 39 | 2020 |
| Optimal architectures in a solvable model of deep networks J Kadmon, H Sompolinsky Advances in neural information processing systems 29, 2016 | 38 | 2016 |
| Statistical mechanics of low-rank tensor decomposition J Kadmon, S Ganguli Advances in Neural Information Processing Systems 31, 2018 | 27 | 2018 |
| Optimal noise level for coding with tightly balanced networks of spiking neurons in the presence of transmission delays J Timcheck, J Kadmon, K Boahen, S Ganguli PLoS computational biology 18 (10), e1010593, 2022 | 14 | 2022 |
| Cortical layer–specific critical dynamics triggering perception. Science 365, eaaw5202 (2019) JH Marshel, YS Kim, TA Machado, S Quirin, B Benson, J Kadmon, C Raja, ... | 5 | |
| Properties of ultrasonic acoustic resonances for exploitation in comb construction by social hornets and honeybees J Kadmon, JS Ishay, DJ Bergman Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 79 (6 …, 2009 | 3 | 2009 |
| Efficient coding in large networks with balance J Timcheck, J Kadmon, S Ganguli Cosyne Abstract, 2020 | 2 | 2020 |
| A neural basis for flexible perceptual inference J Schwarcz, J Bauer, H Rajabi, G Marmur, E Lottem, J Kadmon bioRxiv, 2025.02. 05.636696, 2025 | | 2025 |
| Efficient coding with chaotic neural networks: A journey from neuroscience to physics and back J Kadmon arXiv preprint arXiv:2408.01949, 2024 | | 2024 |
| Cerebellar output shapes cortical preparatory activity during motor adaptation S Israely, H Ninou, O Rajchert, L Elmaleh, R Harel, F Mawase, J Kadmon, ... bioRxiv, 2024.07. 12.603354, 2024 | | 2024 |
| Dynamics and computation in random neuronal networks J Kadmon Hebrew University of Jerusalem, 2017 | | 2017 |
| Abstracts of the 2014 Brains, Minds, and Machines Summer School N Amir, TR Besold, R Camoriano, G Erdogan, T Flynn, G Gillary, J Gomez, ... Center for Brains, Minds and Machines (CBMM), 2014 | | 2014 |
| Neural mechanisms of cognitive flexibility: Belief updating in dynamic environments with sparse rewards J Schwarcz, JP Bauer, G Marmur, H Rajabi, E Lottem, J Kadmon | | |
| Predictive coding in balanced neural networks with noise, chaos and delays Supplementary Material J Kadmon, J Timcheck, S Ganguli | | |
| Supplementary material: Statistical mechanics of low-rank tensor decomposition J Kadmon, S Ganguli | | |
Surya GanguliAssociate Professor, Stanford UniversityVerified email at stanford.edu
