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Yarden Cohen
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Amorphous silicon carbide ultramicroelectrode arrays for neural stimulation and recording
F Deku, Y Cohen, A Joshi-Imre, A Kanneganti, TJ Gardner, SF Cogan
Journal of neural engineering 15 (1), 016007, 2018
882018
Hidden neural states underlie canary song syntax
Y Cohen, J Shen, D Semu, DP Leman, WA Liberti III, LN Perkins, ...
Nature 582 (7813), 539-544, 2020
472020
Automated annotation of birdsong with a neural network that segments spectrograms
Y Cohen, DA Nicholson, A Sanchioni, EK Mallaber, V Skidanova, ...
Elife 11, e63853, 2022
332022
Amorphous silicon carbide platform for next generation penetrating neural interface designs
F Deku, CL Frewin, A Stiller, Y Cohen, S Aqeel, A Joshi-Imre, B Black, ...
Micromachines 9 (10), 480, 2018
332018
High-order feature-based mixture models of classification learning predict individual learning curves and enable personalized teaching
Y Cohen, E Schneidman
Proceedings of the National Academy of Sciences 110 (2), 684-689, 2013
192013
The geometry of neuronal representations during rule learning reveals complementary roles of cingulate cortex and putamen
Y Cohen, E Schneidman, R Paz
Neuron 109 (5), 839-851. e9, 2021
152021
Large-scale cellular-resolution imaging of neural activity in freely behaving mice
DP Leman, IA Chen, KA Bolding, J Tai, LK Wilmerding, HJ Gritton, ...
BioRxiv, 2021.01. 15.426462, 2021
132021
TweetyNet: a neural network that enables high-throughput, automated annotation of birdsong
Y Cohen, D Nicholson, A Sanchioni, EK Mallaber, V Skidanova, ...
BioRxiv, 2020.08. 28.272088, 2020
132020
Recent advances at the interface of neuroscience and artificial neural networks
Y Cohen, TA Engel, C Langdon, GW Lindsay, T Ott, MAK Peters, ...
Journal of Neuroscience 42 (45), 8514-8523, 2022
72022
Hidden neural states underlie canary song syntax
Y Cohen, J Shen, D Semu, DP Leman, WA Liberti III, LN Perkins, ...
bioRxiv, 561761, 2019
32019
It all depends on the context, but also on the amygdala
Y Cohen, R Paz
Neuron 87 (4), 678-680, 2015
32015
vak: a neural network framework for researchers studying animal acoustic communication
D Nicholson, Y Cohen
Python in Science Conference, 59-67, 2023
2023
A novel approach to the empirical characterization of learning in biological systems
Y Cohen, P Cvitanović, SA Solla
BioRxiv, 2021.01. 10.426118, 2021
2021
A geometric representation unveils learning dynamics in primate neurons
Y Cohen, E Schneidman, R Paz
2019
A geometric representation unveils rule-learning dynamics in primate neurons
Y Cohen, E Schneidman, R Paz
bioRxiv, 561670, 2019
2019
Calcium imaging in canary (serinus canaria) HVC reveals latent states supporting behavioral sequencing with long range history dependence
Y Cohen, J Shen, D Semu, TM Otchy, TJ Gardner
2018 Conference on Cognitive Computational Neuroscience, 2018
2018
The neural building blocks of classification learning
Y Cohen
PQDT-Global, 2016
2016
Learning in a noisy environment: a Lyapunov equation approach
SA Solla, Y Cohen, P Cvitanovic
APS March Meeting Abstracts 2016, F40. 004, 2016
2016
Time course of synaptic potentiation and de-potentiation of the ascending synaptic inputs to the piriform cortex during complex olfactory learning.
Y Cohen, E Barkai
JOURNAL OF MOLECULAR NEUROSCIENCE 45 (SUPPL 1), S26-S26, 2011
2011
Predicting individual learning dynamics using maximum entropy models
Y Cohen, E Schneidman
JOURNAL OF MOLECULAR NEUROSCIENCE 45 (SUPPL 1), S26-S27, 2011
2011
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