Kohitij Kar

发表

Aligning Artificial Neural Networks to the Brain yields Shallow Recurrent Architectures

Aran Nayebi, Jonas Kubilius, Martin Schrimpf, 2018 .

Using an animal learning model of the hippocampus to simulate human fMRI data

Kohitij Kar, Ahmed Moustafa, Catherine Myers, 2010, Proceedings of the 2010 IEEE 36th Annual Northeast Bioengineering Conference (NEBEC).

Single units in a deep neural network functionally correspond with neurons in the brain: preliminary results

Martin Schrimpf, Tomaso Poggio, Pouya Bashivan, 2018 .

Neural population control via deep image synthesis

James J DiCarlo, Pouya Bashivan, Kohitij Kar, 2018, Science.

Neural Population Control via Deep Image Synthesis

Pouya Bashivan, James J. DiCarlo, Kohitij Kar, 2018 .

Fast Recurrent Processing via Ventrolateral Prefrontal Cortex Is Needed by the Primate Ventral Stream for Robust Core Visual Object Recognition

James J. DiCarlo, Kohitij Kar, 2021, Neuron.

Brain-Score: Which Artificial Neural Network for Object Recognition is most Brain-Like?

Jonas Kubilius, Martin Schrimpf, Ha Hong, 2018, bioRxiv.

Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs

Aran Nayebi, Daniel L. K. Yamins, Jonas Kubilius, 2019, NeurIPS.

Neural Population Control via Deep ANN Image Synthesis

Pouya Bashivan, James J. DiCarlo, Kohitij Kar, 2018 .

A potential cortical precursor of visual word form recognition in untrained monkeys

James J. DiCarlo, Stanislas Dehaene, Rishi Rajalingham, 2019, bioRxiv.

Large-Scale, High-Resolution Comparison of the Core Visual Object Recognition Behavior of Humans, Monkeys, and State-of-the-Art Deep Artificial Neural Networks

James J DiCarlo, Pouya Bashivan, Rishi Rajalingham, 2018, The Journal of Neuroscience.

Linking image-by-image population dynamics in the macaque inferior temporal cortex to core object recognition behavior

James J. DiCarlo, Kohitij Kar, Kailyn Schmidt, 2018 .

Fast recurrent processing via ventral prefrontal cortex is needed by the primate ventral stream for robust core visual object recognition

Kohitij Kar, James J DiCarlo, J. DiCarlo, 2020, bioRxiv.

Large-scale, high-resolution comparison of the core visual object recognition behavior of humans, monkeys, and state-of-the-art deep artificial neural networks

Pouya Bashivan, James J. DiCarlo, Rishi Rajalingham, 2018 .

Evidence that recurrent circuits are critical to the ventral stream’s execution of core object recognition behavior

Jonas Kubilius, James J DiCarlo, Elias B. Issa, 2019, Nature Neuroscience.

Can Deep Neural Networks Rival Human Ability to Generalize in Core Object Recognition

Jonas Kubilius, James J. DiCarlo, Kohitij Kar, 2018 .

Task-Driven Convolutional Recurrent Models of the Visual System

Surya Ganguli, Aran Nayebi, Jonas Kubilius, 2018, NeurIPS.

Fast Recurrent Processing via Ventrolateral Prefrontal Cortex Is Needed by the Primate Ventral Stream for Robust Core Visual Object Recognition

James J. DiCarlo, Kohitij Kar, 2021, Neuron.

Commentary: On the possible role of stimulation duration for after-effects of transcranial alternating current stimulation

Kohitij Kar, Kohitij Kar, 2015, Front. Syst. Neurosci..

Transcranial alternating current stimulation attenuates BOLD adaptation and increases functional connectivity.

Michael W. Cole, Takuya Ito, Kohitij Kar, 2019, Journal of neurophysiology.

Transcranial Alternating Current Stimulation Attenuates Neuronal Adaptation

Kohitij Kar, Bart Krekelberg, Jacob Duijnhouwer, 2017, The Journal of Neuroscience.

Large-scale, high-resolution comparison of the core visual object

Pouya Bashivan, Rishi Rajalingham, Elias B. Issa, 2018 .