| The manifold structure of limb coordination in walking Drosophila BD DeAngelis*, JA Zavatone-Veth*, DA Clark eLife 8, e46409, 2019 | 93 | 2019 |
| Exact marginal prior distributions of finite Bayesian neural networks JA Zavatone-Veth, C Pehlevan Advances in Neural Information Processing Systems 34, 2021 | 55* | 2021 |
| Asymptotics of representation learning in finite Bayesian neural networks JA Zavatone-Veth, A Canatar, BS Ruben, C Pehlevan Journal of Statistical Mechanics: Theory and Experiment 2022 (11), 114008, 2022 | 44 | 2022 |
| Dynamic nonlinearities enable direction opponency in Drosophila elementary motion detectors BA Badwan, MS Creamer, JA Zavatone-Veth, DA Clark Nature Neuroscience 22 (8), 1318, 2019 | 36 | 2019 |
| A minimal synaptic model for direction selective neurons in Drosophila JA Zavatone-Veth, BA Badwan, DA Clark Journal of Vision 20 (2), 2-2, 2020 | 32 | 2020 |
| Contrasting random and learned features in deep Bayesian linear regression JA Zavatone-Veth, WL Tong, C Pehlevan Physical Review E 105 (6), 064118, 2022 | 30 | 2022 |
| Drifting neuronal representations: Bug or feature? P Masset, S Qin, JA Zavatone-Veth Biological Cybernetics 116 (3), 253-266, 2022 | 26 | 2022 |
| Activation function dependence of the storage capacity of treelike neural networks JA Zavatone-Veth, C Pehlevan Physical Review E 103 (2), L020301, 2021 | 19 | 2021 |
| Parallel locomotor control strategies in mice and flies AI Gonçalves*, JA Zavatone-Veth*, MR Carey, DA Clark Current Opinion in Neurobiology 73, 102516, 2022 | 14 | 2022 |
| Spatiotemporally precise optogenetic activation of sensory neurons in freely walking Drosophila BD DeAngelis*, JA Zavatone-Veth*, AD Gonzalez-Suarez, DA Clark eLife 9, e54183, 2020 | 13 | 2020 |
| Excitatory and inhibitory neural dynamics jointly tune motion detection AD Gonzalez-Suarez, JA Zavatone-Veth, J Chen, CA Matulis, BA Badwan, ... Current Biology 32 (17), 3659-3675. e8, 2022 | 12* | 2022 |
| Using slow frame rate imaging to extract fast receptive fields O Mano, MS Creamer, CA Matulis, E Salazar-Gatzimas, J Chen, ... Nature Communications 10 (1), 1-13, 2019 | 10 | 2019 |
| Long sequence Hopfield memory H Chaudhry, J Zavatone-Veth, D Krotov, C Pehlevan Advances in Neural Information Processing Systems 36, 2024 | 9 | 2024 |
| Depth induces scale-averaging in overparameterized linear Bayesian neural networks JA Zavatone-Veth, C Pehlevan 2021 55th Asilomar Conference on Signals, Systems, and Computers, 600-607, 2021 | 9 | 2021 |
| Learning curves for deep structured Gaussian feature models J Zavatone-Veth, C Pehlevan Advances in Neural Information Processing Systems 36, 2024 | 5 | 2024 |
| Neural networks learn to magnify areas near decision boundaries JA Zavatone-Veth, S Yang, JA Rubinfien, C Pehlevan arXiv preprint arXiv:2301.11375, 2023 | 5* | 2023 |
| Natural gradient enables fast sampling in spiking neural networks P Masset, JA Zavatone-Veth, JP Connor, VN Murthy, C Pehlevan Advances in Neural Information Processing Systems, 2022 | 5 | 2022 |
| Asymptotic theory of in-context learning by linear attention YM Lu, MI Letey, JA Zavatone-Veth, A Maiti, C Pehlevan arXiv preprint arXiv:2405.11751, 2024 | 4 | 2024 |
| Replica method for eigenvalues of real Wishart product matrices JA Zavatone-Veth, C Pehlevan SciPost Physics Core 6 (2), 026, 2023 | 4 | 2023 |
| On neural network kernels and the storage capacity problem JA Zavatone-Veth, C Pehlevan Neural Computation 34 (5), 1136-1142, 2022 | 4 | 2022 |
Cengiz PehlevanHarvard University在 seas.harvard.edu 的电子邮件经过验证
