Tushar Chauhan

About

I am a Picower Fellow working in the Bear Lab, Department of Brain and Cognitive Sciences, MIT. My work explores the relationship between computation in biological systems and their behaviour. I am deeply interested in how this knowledge can be used to treat visual disorders, as well as to develop biologically rooted AI/ML systems and robots. I employ tools such as electrophysiology, computational modelling (spiking neural networks, deep networks, AI/ML), psychophysics, EEG, and fMRI.

Website: www.tusharchauhan.com

Employment

• Massachusetts Institute of Technology Picower Fellow
  2022 - Present
• Centre de Recherche Cerveau et Cognition Postdoctoral fellow
  2016 - 2021

Education

• University of Liverpool PhD
  2012 - 2016
• Université Jean Monnet Master's
  2009 - 2011
• University of Eastern Finland Master's
  2009 - 2011
• Indian Institute of Technology Madras Bachelor of Technology
  2004 - 2008

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• Characterising Representations of Hue and Saturation in the Cortex Using Information Decoding
  2024 DOI: 10.1101/2024.12.19.628842
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• Decoding of EEG signals reveals non-uniformities in the neural geometry of colour
  NeuroImage 2023 DOI: 10.1016/j.neuroimage.2023.119884
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• Decoding of EEG signals reveals non-uniformities in the neural geometry of colour
  2021 DOI: 10.1101/2021.06.17.448044
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• Stimulus-specific information is represented as local activity patterns across the brain
  NeuroImage 2020 DOI: 10.1016/j.neuroimage.2020.117326
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• Modelling binocular disparity processing from statistics in natural scenes
  Vision Research 2020 DOI: 10.1016/j.visres.2020.07.009
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• Sub-optimality of the early visual system explained through biologically plausible plasticity
  2019 DOI: 10.1101/799155
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• Chromatic and luminance sensitivity for skin and skinlike textures
  Journal of Vision 2019 DOI: 10.1167/19.1.13
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• Emergence of Binocular Disparity Selectivity through Hebbian Learning
  The Journal of Neuroscience 2018 DOI: 10.1523/JNEUROSCI.1259-18.2018
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• Unique hue data for colour appearance models. Part III: Comparison with NCS unique hues
  Color Research & Application 2015 DOI: 10.1002/col.21898
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• Memory-guided tracking through physical space and feature space
  Journal of Vision 2014 DOI: 10.1167/14.13.10
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