Kohitij Kar, PhD
Titel
Zitiert von
Zitiert von
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Large-scale, high-resolution comparison of the core visual object recognition behavior of humans, monkeys, and state-of-the-art deep artificial neural networks
R Rajalingham, EB Issa, P Bashivan, K Kar, K Schmidt, JJ DiCarlo
Journal of Neuroscience 38 (33), 7255-7269, 2018
1502018
Evidence that recurrent circuits are critical to the ventral stream’s execution of core object recognition behavior
K Kar, J Kubilius, K Schmidt, EB Issa, JJ DiCarlo
Nature neuroscience 22 (6), 974-983, 2019
1112019
Neural population control via deep image synthesis
P Bashivan*, K Kar*, JJ DiCarlo
Science 364 (6439), eaav9436, 2019
1022019
Transcranial electrical stimulation over visual cortex evokes phosphenes with a retinal origin
K Kar, B Krekelberg
Journal of Neurophysiology, 2012
802012
Brain-score: Which artificial neural network for object recognition is most brain-like?
M Schrimpf, J Kubilius, H Hong, NJ Majaj, R Rajalingham, EB Issa, K Kar, ...
BioRxiv, 407007, 2018
742018
Task-driven convolutional recurrent models of the visual system
A Nayebi, D Bear, J Kubilius, K Kar, S Ganguli, D Sussillo, JJ DiCarlo, ...
Advances in Neural Information Processing Systems, 5290-5301, 2018
642018
Transcranial alternating current stimulation attenuates visual motion adaptation
K Kar, B Krekelberg
Journal of Neuroscience 34 (21), 7334-7340, 2014
402014
Transcranial alternating current stimulation attenuates neuronal adaptation
K Kar, J Duijnhouwer, B Krekelberg
Journal of Neuroscience 37 (9), 2325-2335, 2017
292017
Brain-like object recognition with high-performing shallow recurrent anns
J Kubilius, M Schrimpf, K Kar, H Hong, N Majaj, R Rajalingham, E Issa, ...
Advances in Neural Information Processing Systems, 12785-12796, 2019
262019
Testing the assumptions underlying fMRI adaptation using intracortical recordings in area MT
K Kar, B Krekelberg
Cortex 80, 21-34, 2016
262016
Social closeness and feedback modulate susceptibility to the framing effect
KE Sip, DV Smith, AJ Porcelli, K Kar, MR Delgado
Social neuroscience 10 (1), 35-45, 2015
212015
Probing the mechanisms underlying the mitigation of cognitive aging with anodal transcranial direct current stimulation
K Kar, J Wright
Journal of Neurophysiology, 2013
152013
Single units in a deep neural network functionally correspond with neurons in the brain: preliminary results
L Arend, Y Han, M Schrimpf, P Bashivan, K Kar, T Poggio, JJ DiCarlo, ...
Center for Brains, Minds and Machines (CBMM), 2018
52018
Commentary: on the possible role of stimulation duration for after-effects of transcranial alternating current stimulation
K Kar
Frontiers in systems neuroscience 9, 148, 2015
52015
Transcranial alternating current stimulation attenuates BOLD adaptation and increases functional connectivity
K Kar, T Ito, MW Cole, B Krekelberg
Journal of Neurophysiology 123 (1), 428-438, 2020
42020
Can Deep Neural Networks Rival Human Ability to Generalize in Core Object Recognition?
J Kubilius*, K Kar*, K Schmidt, JJ DiCarlo
2018 Conference on Cognitive Computational Neuroscience, Date: 2018/09/05 …, 2018
32018
Fast Recurrent Processing via Ventrolateral Prefrontal Cortex Is Needed by the Primate Ventral Stream for Robust Core Visual Object Recognition
K Kar, JJ DiCarlo
Neuron, 2020
2*2020
An Open Resource for Non-human Primate Optogenetics
S Tremblay, L Acker, A Afraz, DL Albaugh, H Amita, AR Andrei, ...
Neuron, 2020
22020
The inferior temporal cortex is a potential cortical precursor of orthographic processing in untrained monkeys
R Rajalingham, K Kar, S Sanghavi, S Dehaene, JJ DiCarlo
Nature communications 11 (1), 1-13, 2020
2*2020
Using brain-score to evaluate and build neural networks for brain-like object recognition
M Schrimpf, J Kubilius, H Hong, NJ Majaj, R Rajalingham, C Ziemba, ...
Cosyne 19, Date: 2019/02/28-2019/03/03, Location: Lisbon, Portugal, 2019
22019
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