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2022
Kar, Kohitij., Kornblith, Simon., and Fedorenko, Evelina. “Interpretability of artificial neural network models in artificial intelligence versus neuroscience.” Nature Machine Intelligence (2022)
Kar, Kohitij. “A computational probe into the behavioral and neural markers of atypical facial emotion processing in autism.” The Journal of Neuroscience(2022)
MIT News, The Daily Beast, ZME Science, AUGANIX, AZO-Robotics, BrainPost
Nayebi, Aran., Sagastuy-Brena, Javier., Bear, Daniel., Kar, Kohitij., Kubilius, Jonas., Ganguli, Surya., Sussillo, David., DiCarlo, James., Yamins, Daniel. “Recurrent connections in the primate ventral visual stream mediate a trade-off between task performance and network size during core object recognition.” Neural Computations (2022)
2021
Kar, Kohitij. “Visual neuroscience in the age of big data and artificial intelligence.” In Big Data in Psychiatry# x0026; Neurology (pp. 287-304). Academic Press (2021).
Kar, Kohitij, and James J. DiCarlo. “Fast recurrent processing via ventral prefrontal cortex is needed by the primate ventral stream for robust core visual object recognition.” Neuron (2021).
2020
Rajalingham, Rishi., Kar, Kohitij., Sanghavi, Sachi., Dehaene, Stanislas., & DiCarlo, J. James. “The inferior temporal cortex is a potential cortical precursor of orthographic processing in untrained monkeys.” Nature Communications, (2020).
Kar, Kohitij, Ito, Takuya, Cole Michael, and Krekelberg Bart. “Transcranial alternating current stimulation reduces BOLD adaptation and increases functional connectivity” Journal of Neurophysiology (2020).
Tremblay, Sébastien, …..Kar, Kohitij., …..DiCarlo, James., Platt, Michael. “An Open Resource for Non-human Primate Optogenetics ” Neuron (2020).
Schrimpf, M., Kubilius, J., Hong, H., Majaj, N. J., Rajalingham, R., Issa, E. B., Kar, Kohitij… & DiCarlo, J. J. (2020). Brain-score: Which artificial neural network for object recognition is most brain-like?. BioRxiv, 407007. (2020)
2019
Kar, Kohitij., Kubilius Jonas., Schmidt, Kailyn., Issa, Elias., and DiCarlo, James. “Evidence that recurrent circuits are critical to the ventral stream’s execution of core object recognition behavior.” Nature Neuroscience (2019).
- Bashivan, Pouya*, Kar, Kohitij*, & DiCarlo, James. “Neural Population Control via Deep Image Synthesis.” Science (2019) [* denotes equal contribution]
- MIT news, CBMM video, Trends in Neurosci article
2018
Rajalingham, R.*, Issa, E.*, Bashivan, P., Kar, K., Schmidt, K., and Dicarlo J: “Large-scale, high-resolution comparison of the core visual object recognition behavior of humans, monkeys, and state-of-the-art deep artificial neural networks.” Journal of Neuroscience (2018)
Conferences:
- Kar, Kohitij., Kubilius Jonas., Schmidt, Kailyn., Issa, Elias., and DiCarlo, James. Evidence that recurrent circuits are critical to the ventral stream’s execution of core object recognition behavior.”bioRxiv, 354753, 2018.
- Bashivan, P.*, Kar, K.*, & DiCarlo, J. (2018). Neural Population Control via Deep Image Synthesis. bioRxiv, 461525.
- Nayebi, A.*, Bear, D.*, Kubilius, J.*, Kar, K. , Ganguli, S., Sussillo, D., and DiCarlo, J. J., and Yamins, D. Task-Driven Convolutional Recurrent Models of the Visual System.” arXiv , 1807.00053.
- Kohitij Kar, and James DiCarlo. Chemogenetic down-regulation of macaque V4 responses produce reversible deficits in core object recognition behavior. SFN (2018). Poster
- Kohitij Kar, Kailyn Schmidt, James DiCarlo. Linking image-by-image population dynamics in the macaque inferior temporal cortex to core object recognition behavior.Cognitive Computational Neuroscience (2018).
- Pouya Bashivan*, Kohitij Kar*, James DiCarlo. Neural Population Control via Deep ANN Image Synthesis.Cognitive Computational Neuroscience (2018).
- Jonas Kubilius*, Kohitij Kar*, Kailyn Schmidt, James DiCarlo.Can Deep Neural Networks Rival Human Ability to Generalize in Core Object Recognition?Cognitive Computational Neuroscience (2018).
2017
Kar, Kohitij*, Duijnhouwer, Jacob, and Krekelberg, Bart. “Transcranial alternating current stimulation attenuates neuronal adaptation.” Journal of Neuroscience (2017)
Conferences:
- Kar, K., Kubilius, J., Issa, E., Schmidt, K., and DiCarlo, J: Does the primate ventral stream need cortical feedback to compute rapid online image-by-image object identity? Neuroscience 2017 Abstract(Nanosymposium; to be presented), Washington DC. Abstract
- Rajalingham, R., Issa, E., Schmidt, K., Kar, K., and Dicarlo J: Feedforward Deep Neural Networks Diverge from Humans and Monkeys on Core Visual Object Recognition Behavior. Cognitive Computational Neuroscience (CCN) 2017. Paper , Poster
- Kar, K., Kubilius, J., Issa, E., Schmidt, K., and DiCarlo, J: Evidence that feedback is required for object identity inferences computed by the ventral stream. COSYNE 2017, Salt Lake City, Utah. Abstract, Poster
2016
Kar, Kohitij*, and Krekelberg, Bart. “Testing the assumptions underlying fMRI adaptation using intracortical recordings in area MT.” Cortex (2016).
Conferences:
- Rajalingham, R., Issa, E., Kar, K., Schmidt, K., and DiCarlo J: Image-grain comparison of core object recognition behavior in humans, monkeys and machines. Neuroscience 2016 Abstracts. San Diego, CA: Society for Neuroscience,(2016). Poster
2015
Kar, Kohitij*. Commentary: On the possible role of stimulation duration for after-effects of transcranial alternating current stimulation. Frontiers in Systems Neuroscience (2015), 9, 148.
Conferences:
- Kar,K., Wright, J., and Krekelberg, B:”Effects of transcranial alternating current stimulation on human BOLD responses during visual motion adaptation”. OHBM’s 2015 Annual Meeting. Abstract, Poster
- Yinghua L, Kar K, and Krekelberg B: Transcranial alternating current stimulation strengthens learning of color-orientation associations. Neuroscience 2015 Abstracts. Chicago, IL: Society for Neuroscience, 2015. Abstract, Poster
- Kar,K., Wright, J., and Krekelberg, B:”Effects of transcranial alternating current stimulation on human BOLD responses during visual motion adaptation”. Brain Stimulation and Imaging Meeting 2015 Poster
- Lafon, B., Liu, A., Minas, P., Kar, K., Bikson, M., Friedman, D., Krekelberg, B., Parra, L.”Direct experimental validation of computational current flow models with intracranial recordings in human and non-human primates.” NYC Neuromodulation 2015. Abstract
2014
Articles:
- Kar, Kohitij* and Krekelberg Bart. “Transcranial alternating current stimulation attenuates visual motion adaptation.” Journal of Neuroscience (2014).
- Kamila E. Sip*, David V. Smith, Anthony J. Porcelli, Kohitij Kar, Mauricio R. Delgado. “Social closeness and feedback modulate susceptibility to the framing effect.” Social Neuroscience (2014).
Conferences:
2013
Kar, Kohitij*, and Wright, Jessica. “Probing the mechanisms underlying the mitigation of cognitive aging with anodal transcranial direct current stimulation.” Journal of Neurophysiology (2013).
Conferences:
- Kar, K., Duijnhouwer, J, Krekelberg, B: Transcranial electrical stimulation mitigates motion adaptation in V1, MT, and MST neurons of awake, behaving macaques. Neuroscience 2013 Abstracts. San Diego, CA: Society for Neuroscience, 2013. Abstract, Poster
- Kar,K., Duijnhouwer, J. and Krekelberg, B: Transcranial alternating current stimulation affects motion adaptation in V1 and MT neurons in awake, behaving macaques. Rhythmic Dynamics and Cognition Conference, 2013. Abstract, Poster
- Kar,K., Duijnhouwer, J. and Krekelberg, B: Transcranial electrical stimulation affects adaptation of MT/V5 neurons in awake behaving macaques. Journal of Vision 2013, VSS abstracts.Abstract, Poster
2012
Articles:
- Kar, Kohitij*, and Krekelberg, Bart. “Transcranial electrical stimulation over visual cortex evokes phosphenes with a retinal origin.” Journal of Neurophysiology (2012).
Conferences:
2010
Kar, K., Moustafa, A., Myers, C., Gluck, M : “Using an animal learning model of the hippocampus to simulate human fMRI data,” Bioengineering Conference, Proceedings of the 2010 IEEE 36th Annual Northeast , vol., no., pp.1-2, 26-28 (March 2010). Short Paper