Co-Authors
This is a "connection" page, showing publications co-authored by ANDREAS TOLIAS and ZACHARY PITKOW.
Connection Strength
1.809
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Functional connectomics reveals general wiring rule in mouse visual cortex. bioRxiv. 2024 Oct 14.
Score: 0.246
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Foundation model of neural activity predicts response to new stimulus types and anatomy. bioRxiv. 2024 Aug 31.
Score: 0.244
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Robust deep learning object recognition models rely on low frequency information in natural images. PLoS Comput Biol. 2023 03; 19(3):e1010932.
Score: 0.221
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Bipartite invariance in mouse primary visual cortex. bioRxiv. 2023 Mar 16.
Score: 0.221
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Revealing nonlinear neural decoding by analyzing choices. Nat Commun. 2021 11 16; 12(1):6557.
Score: 0.201
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Inception loops discover what excites neurons most using deep predictive models. Nat Neurosci. 2019 12; 22(12):2060-2065.
Score: 0.175
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Engineering a Less Artificial Intelligence. Neuron. 2019 09 25; 103(6):967-979.
Score: 0.173
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NEURD offers automated proofreading and feature extraction for connectomics. bioRxiv. 2024 Sep 23.
Score: 0.061
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Pattern completion and disruption characterize contextual modulation in the visual cortex. bioRxiv. 2024 May 09.
Score: 0.060
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Cell-type-specific inhibitory circuitry from a connectomic census of mouse visual cortex. bioRxiv. 2024 Jan 06.
Score: 0.058
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Decoding Depression Severity From Intracranial Neural Activity. Biol Psychiatry. 2023 09 15; 94(6):445-453.
Score: 0.055
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Understanding Robustness and Generalization of Artificial Neural Networks Through Fourier Masks. Front Artif Intell. 2022; 5:890016.
Score: 0.053
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Faster processing of moving compared with flashed bars in awake macaque V1 provides a neural correlate of the flash lag illusion. J Neurophysiol. 2018 11 01; 120(5):2430-2452.
Score: 0.040