Следене
Cengiz Pehlevan
Заглавие
Позовавания
Позовавания
Година
Acute off-target effects of neural circuit manipulations
TM Otchy, SBE Wolff, JY Rhee, C Pehlevan, R Kawai, A Kempf, ...
Nature 528 (7582), 358-363, 2015
3752015
Spectrum dependent learning curves in kernel regression and wide neural networks
B Bordelon, A Canatar, C Pehlevan
International Conference on Machine Learning, 1024-1034, 2020
1742020
Spectral bias and task-model alignment explain generalization in kernel regression and infinitely wide neural networks
A Canatar, B Bordelon, C Pehlevan
Nature communications 12 (1), 2914, 2021
1572021
The basal ganglia is necessary for learning spectral, but not temporal, features of birdsong
F Ali, TM Otchy, C Pehlevan, AL Fantana, Y Burak, BP Ölveczky
Neuron 80 (2), 494-506, 2013
1472013
A Hebbian/Anti-Hebbian Neural Network for Linear Subspace Learning: A Derivation from Multidimensional Scaling of Streaming Data
C Pehlevan, T Hu, DB Chklovskii
Neural computation 27 (7), 1461-1495, 2015
1102015
Why do similarity matching objectives lead to Hebbian/anti-Hebbian networks?
C Pehlevan, AM Sengupta, DB Chklovskii
Neural computation 30 (1), 84-124, 2017
762017
Internal state configures olfactory behavior and early sensory processing in Drosophila larvae
K Vogt, DM Zimmerman, M Schlichting, L Hernandez-Nunez, S Qin, ...
Science advances 7 (1), eabd6900, 2021
672021
Neural networks as kernel learners: The silent alignment effect
A Atanasov, B Bordelon, C Pehlevan
arXiv preprint arXiv:2111.00034, 2021
632021
A normative theory of adaptive dimensionality reduction in neural networks
C Pehlevan, D Chklovskii
Advances in neural information processing systems 28, 2015
612015
Neuroscience-inspired online unsupervised learning algorithms: Artificial neural networks
C Pehlevan, DB Chklovskii
IEEE Signal Processing Magazine 36 (6), 88-96, 2019
592019
Complex Langevin equations and Schwinger–Dyson equations
G Guralnik, C Pehlevan
Nuclear Physics B 811 (3), 519-536, 2009
592009
Exact marginal prior distributions of finite Bayesian neural networks
J Zavatone-Veth, C Pehlevan
Advances in Neural Information Processing Systems 34, 3364-3375, 2021
54*2021
Self-consistent dynamical field theory of kernel evolution in wide neural networks
B Bordelon, C Pehlevan
Advances in Neural Information Processing Systems 35, 32240-32256, 2022
512022
Selectivity and sparseness in randomly connected balanced networks
C Pehlevan, H Sompolinsky
PloS one 9 (2), e89992, 2014
492014
A Hebbian/Anti-Hebbian Network Derived from Online Non-Negative Matrix Factorization Can Cluster and Discover Sparse Features
C Pehlevan, DB Chklovskii
Signals, Systems and Computers, 2014 48th Asilomar Conference on, 769-775, 2014
482014
Asymptotics of representation learning in finite Bayesian neural networks
J Zavatone-Veth, A Canatar, B Ruben, C Pehlevan
Advances in neural information processing systems 34, 24765-24777, 2021
432021
Manifold-tiling localized receptive fields are optimal in similarity-preserving neural networks
A Sengupta, C Pehlevan, M Tepper, A Genkin, D Chklovskii
Advances in neural information processing systems 31, 2018
412018
Blind nonnegative source separation using biological neural networks
C Pehlevan, S Mohan, DB Chklovskii
Neural computation 29 (11), 2925-2954, 2017
382017
Attention approximates sparse distributed memory
T Bricken, C Pehlevan
Advances in Neural Information Processing Systems 34, 15301-15315, 2021
362021
Integrative neuromechanics of crawling in D. melanogaster larvae
C Pehlevan, P Paoletti, L Mahadevan
Elife 5, e11031, 2016
342016
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Статии 1–20