Ritwik K. Niyogi

Affiliations: 
Gatsby Computational Neuroscience Unit, Sciences Windeyer Building, England, United Kingdom 
Area:
decision-making, neural synchronization
Google:
"Ritwik Niyogi"
Mean distance: 13.65 (cluster 29)
 
SNBCP

Parents

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Raymond Y. Cho research assistant 2006-2007 University of Pittsburgh Medical Center
 (research assistant, WPIC)
James L. McClelland research assistant 2007-2007 Stanford
 (Center for Mind, Brain and Computation)
Jonathan D. Cohen research assistant 2008-2009 Princeton
 (CSBMB, Princeton University)
Peter Dayan grad student 2009- Gatsby Computational Neuroscience Unit
Jeremiah Y. Cohen post-doc 2014- Johns Hopkins Medical School

Collaborators

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KongFatt Wong-Lin collaborator 2008- Princeton
Angela J. Yu collaborator 2008- Princeton
Fuat Balci collaborator 2009- Princeton
Peter Shizgal collaborator 2010- Concordia
Patrick A. Simen collaborator 2008-2009 Princeton
BETA: Related publications

Publications

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Ahilan S, Solomon RB, Breton YA, et al. (2019) Learning to use past evidence in a sophisticated world model. Plos Computational Biology. 15: e1007093
Niyogi RK, Shizgal P, Dayan P. (2014) Some work and some play: microscopic and macroscopic approaches to labor and leisure. Plos Computational Biology. 10: e1003894
Niyogi RK, Breton YA, Solomon RB, et al. (2014) Optimal indolence: a normative microscopic approach to work and leisure. Journal of the Royal Society, Interface / the Royal Society. 11: 20130969
Niyogi RK, Wong-Lin K. (2013) Dynamic excitatory and inhibitory gain modulation can produce flexible, robust and optimal decision-making. Plos Computational Biology. 9: e1003099
Balci F, Simen P, Niyogi R, et al. (2011) Acquisition of decision making criteria: reward rate ultimately beats accuracy. Attention, Perception & Psychophysics. 73: 640-57
Niyogi RK, English LQ. (2009) Learning-rate-dependent clustering and self-development in a network of coupled phase oscillators. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 80: 066213
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