Ritwik K. Niyogi

I am a Senior Research Scientist | Senior Deep Learning Researcher at MediaTek Research.

I was a Sir Henry Wellcome Post-doctoral Fellow, hosted by University College London. I was at the UCL-Max Planck Centre for Computational Psychiatry and Ageing Research. My Research Sponsor was Dr.Robb Rutledge. My mentor was Professor Nathaniel Daw at the Princeton Neuroscience Institute.

I did my PhD in Machine Learning and Theoretical Neuroscience at the Gatsby Computational Neuroscience Unit, University College London (UCL), supervised by Professor Peter Dayan. I did a minor in Reinforcement Learning with Dr. David Silver.

I was formerly hosted by the University of Oxford, based at the Department of Experimental Psychology, my Research Sponsor was Dr. Mark Walton and Sponsor was Professor Matthew Rushworth.

I previously did the first two parts of my Sir Henry Wellcome fellowship investigating vigour-anergia, reward learning and real-time cost-benefit decision-making at the (1) Solomon H. Snyder Department of Neuroscience and Brain Science Institute, the Johns Hopkins University School of Medicine, (my Research Sponsor was Dr.Jeremiah Cohen ) and (2) Department of Psychiatry, UNC Neuroscience Center, University of North Carolina at Chapel Hill with Research Sponsor Prof. Garret Stuber).

I am an AI Research Scientist, Neuroscientist and Mental health researcher interested in resource efficient AI and in applications of AI to difficult societal challenges in Mental Health, drug discovery and economics


E-mail: ritwik7@gmail.com / ritwik.niyogi@gatsby.ucl.ac.uk

Curriculum Vitae



  • Our work Fast dopamine release signals reward rate to mediate vigor has been accepted at CoSyNe,2021.


Research Interests

Machine Learning; Computational Psychiatry; Intelligence in Brains and Machines; Reinforcement learning and stochastic optimal control

In Preparation



  • Nair, A *., Niyogi, R.K.*, Tabrizi, S.J., Rees, G., & Rutledge, R.B. Opportunity cost determines free-operant action initiation latency and predicts apathy, Psychological Medicine 1–10 (2021) pdf link

  • Ahilan, S., Solomon, R., Breton Y-A, Conover, K., Niyogi, R.K., Shizgal P., Dayan, P. Forgetful inference in a sophisticated world model , PLoS Computational Biology 15 (6): e1007093 (2019) pdf BioArxiv

  • Niyogi, R.K., Shizgal, P., & Dayan, P. Some work and some play: microscopic and macroscopic approaches to labor and leisure , PLoS Computational Biology 10(12): e1003894 (2014) pdf Pubmed

  • Niyogi, R.K., Breton, Y-A, Solomon, R.B., Conover, K., Shizgal, P., & Dayan, P. Optimal indolence: a normative microscopic approach to work and leisure, Journal of the Royal Society Interface,11, 20130969 (2014) pdf Supplementary Information Pubmed

  • Niyogi, R.K. & Wong-Lin, K-F, Dynamic excitatory and inhibitory gain modulation can produce flexible, robust and optimal decision-making, PLoS Computational Biology, 9(6):e1003099 (2013) pdf Pubmed

  • Balci, F., Simen, P., Niyogi, R., Saxe, A., Hughes, J.A., Holmes, P., & Cohen, J.D. Acquisition of decision making criteria: accuracy ultimately loses the competition with reward rate, Attention Perception Psychophysics, 73(2), 640-657 (2011) pdf Supplementary Material Pubmed

  • Niyogi, R.K. & English, L.Q. Learning-rate-dependent clustering and self-development in a network of coupled phase oscillators, Physics Review E, 80, 066213 (2009) pdf Pubmed


  • What to do, when to do it, how long to do it for: a normative microscopic approach to the labour leisure tradeoff (PhD Thesis, University College London)

  • The Source of Suboptimality in Human Performance on Two-Alternative Forced Choice Motion-Discrimination Decision-Making Tasks (Neuroscience Honors Thesis, Dickinson College)

  • Dynamical Effects of Non-Linearities and Time-Varying Gain Modulation in Neurally Plausible Network Models of Perceptual Decision-Making Tasks (Mathematics Honors Thesis, Dickinson College)

  • Synchronization and Hebbian Learning in a Network of Coupled Neural Phase Oscillators (Physics Honors Thesis, Dickinson College)


I have had the privilege of working with and being mentored by

I follow (and often preach) the work of my friends:



Copyright Notice

The publication documents distributed here have been provided as a means to ensure timely dissemination of scholarly and technical work on a noncommercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder (notice adapted from Peter Dayan).