Matthew L Leavitt
Matthew L Leavitt
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Cited by
Cited by
Convit: Improving vision transformers with soft convolutional inductive biases
S d’Ascoli, H Touvron, ML Leavitt, AS Morcos, G Biroli, L Sagun
International Conference on Machine Learning, 2286-2296, 2021
Sustained activity encoding working memories: not fully distributed
ML Leavitt, D Mendoza-Halliday, JC Martinez-Trujillo
Trends in Neurosciences 40 (6), 328-346, 2017
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
Correlated variability modifies working memory fidelity in primate prefrontal neuronal ensembles
ML Leavitt, F Pieper, AJ Sachs, JC Martinez-Trujillo
Proceedings of the National Academy of Sciences 114 (12), E2494-E2503, 2017
P Goyal, Q Duval, J Reizenstein, M Leavitt, M Xu, B Lefaudeux, M Singh, ...
Np, 2021
Towards falsifiable interpretability research
ML Leavitt, A Morcos
arXiv preprint arXiv:2010.12016, 2020
Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs
ML Leavitt, A Morcos
arXiv preprint arXiv:2003.01262, 2020
Structure of spike count correlations reveals functional interactions between neurons in dorsolateral prefrontal cortex area 8a of behaving primates
ML Leavitt, F Pieper, A Sachs, R Joober, JC Martinez-Trujillo
PloS one 8 (4), e61503, 2013
A quadrantic bias in prefrontal representation of visual-mnemonic space
ML Leavitt, F Pieper, AJ Sachs, JC Martinez-Trujillo
Cerebral Cortex 28 (7), 2405-2421, 2018
Single-trial decoding of intended eye movement goals from lateral prefrontal cortex neural ensembles
CB Boulay, F Pieper, M Leavitt, J Martinez-Trujillo, AJ Sachs
Journal of neurophysiology 115 (1), 486-499, 2016
A normalization circuit underlying coding of spatial attention in primate lateral prefrontal cortex
L Duong, M Leavitt, F Pieper, A Sachs, J Martinez-Trujillo
eneuro 6 (2), 2019
Linking average-and worst-case perturbation robustness via class selectivity and dimensionality
ML Leavitt, A Morcos
arXiv preprint arXiv:2010.07693, 2020
Reduce, Reuse, Recycle: Improving Training Efficiency with Distillation
C Blakeney, JZ Forde, J Frankle, Z Zong, ML Leavitt
arXiv preprint arXiv:2211.00683, 2022
Knowledge Distillation for Efficient Sequences of Training Runs
X Liu, A Leonardi, L Yu, C Gilmer-Hill, M Leavitt, J Frankle
arXiv preprint arXiv:2303.06480, 2023
Neural sequences in primate prefrontal cortex encode working memory in naturalistic environments
M Roussy, A Busch, R Luna, M Leavitt, MH Mofrad, RA Gulli, B Corrigan, ...
bioRxiv, 2022.08. 18.504406, 2022
Composer: A PyTorch Library for Efficient Neural Network Training
H Tang, R Rahman, M Patel, M Nadeem, A Venigalla, L Seguin, ..., 2021
Coding of Visuo-Spatial Working Memory by Neuronal Ensembles in Primate Lateral Prefrontal Cortex
J Martinez-Trujillo, M Leavitt
PERCEPTION 48, 4-4, 2019
Network properties underlying working memory in primate prefrontal cortex
ML Leavitt
McGill University (Canada), 2017
Effects of neural ensemble size and composition on the decoding of attention in primate lateral prefrontal cortex
L Duong, M Leavitt, S Tremblay, A Sachs, J Martinez-Trujillo
Journal of Vision 16 (12), 611-611, 2016
Heterogeneous effects of neuronal ensemble size, tuning, and correlation structure on the decoding of spatial working memory in dorsolateral prefrontal cortex
M Leavitt, A Sachs, J Martinez-Trujillo
Journal of Vision 16 (12), 763-763, 2016
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