Jacob A. Zavatone-Veth

Neuroscience · Life Sciences

11h-index487citations51works1.82yr avg
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Research Topics

Neural dynamics and brain function(13), Neural Networks and Applications(11), Neurobiology and Insect Physiology Research(11), Animal Behavior and Reproduction(8), Visual perception and processing mechanisms(4)

Publications51 total

A Random Matrix Theory Perspective on the Consistency of Diffusion Models
arXiv (Cornell University)·2026Open Access
A Random Matrix Theory Perspective on the Consistency of Diffusion Models
arXiv (Cornell University)·2026Open Access
Simultaneous detection and estimation in olfactory sensing
2025Open Access
Convergent motifs of early olfactory processing are recapitulated by layer-wise efficient coding
2025· 1 citedOpen Access
Summary statistics of learning link changing neural representations to behavior
Frontiers in Neural Circuits·2025Open Access
Asymptotic theory of in-context learning by linear attention
Proceedings of the National Academy of Sciences·2025· 4 citedOpen Access
Dynamically Learning to Integrate in Recurrent Neural Networks.
PubMed·2025· 3 citedOpen Access
Combining Sampling Methods with Attractor Dynamics in Spiking Models of Head-Direction Systems
2025· 1 citedOpen Access
Nadaraya–Watson kernel smoothing as a random energy model
Journal of Statistical Mechanics Theory and Experiment·2025· 1 cited
A Model of Place Field Reorganization During Reward Maximization
2024· 3 citedOpen Access
Long sequence Hopfield memory*
Journal of Statistical Mechanics Theory and Experiment·2024· 7 cited
Learning curves for deep structured Gaussian feature models*
Journal of Statistical Mechanics Theory and Experiment·2024
Risk and cross validation in ridge regression with correlated samples
arXiv (Cornell University)·2024· 2 citedOpen Access
Spectral regularization for adversarially-robust representation learning
arXiv (Cornell University)·2024Open Access
Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics
2024· 7 citedOpen Access
Asymptotic theory of in-context learning by linear attention
arXiv (Cornell University)·2024· 1 citedOpen Access
Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics
2024
Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb
2023· 10 citedOpen Access
Long Sequence Hopfield Memory
arXiv (Cornell University)·2023Open Access
Replica method for eigenvalues of real Wishart product matrices
SciPost Physics Core·2023· 6 citedOpen Access
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Frequent Co-authors

Cengiz Pehlevan(32), Damon A. Clark(13), Brian D DeAngelis(6), Bara A. Badwan(5), Paul Masset(5), Aneysis D. Gonzalez-Suarez(4), Venkatesh N. Murthy(4), Benjamin S. Ruben(3), Juyue Chen(3), Catherine A. Matulis(3), Blake Bordelon(3), Matthew S. Creamer(2), William L. Tong(2), Hamza Tahir Chaudhry(2), Dmitry Krotov(2), William Qian(2), Dina Obeid(2), Yue M. Lu(2), Mary I. Letey(2), Anindita Maiti(2)