Biswa Sengupta, PhD (Cantab)
Affiliations: | University College London, London, United Kingdom |
Area:
Metabolic efficiency, Bayesian Statistics, PDEsWebsite:
http://iris.ucl.ac.uk/iris/browse/profile?upi=BSENG22Google:
"Biswa Sengupta"Mean distance: 12.83 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentorDavid M. Halliday | research assistant | 2003-2004 | University of York |
Jim Austin | grad student | 2004-2006 | University of York |
Gary Green | grad student | 2004-2006 | University of York |
Andreas S. Tolias | grad student | 2006-2006 | MPI for Biological Cybernetics |
Kevin Whittingstall | grad student | 2006-2007 | MPI for Biological Cybernetics |
Matthias Bethge | grad student | 2007-2007 | MPI for Biological Cybernetics |
Cornelius Schwarz | grad student | 2007-2007 | MPI for Biological Cybernetics |
Simon Laughlin | grad student | 2007-2011 | Cambridge |
David J.C. Mackay | grad student | 2007-2011 | Cambridge |
Jeremy E. Niven | grad student | 2007-2011 | Cambridge |
Martin B. Stemmler | grad student | 2008-2011 | Cambridge |
Rodolphe Sepulchre | research scientist | 2016- | Cambridge |
Karl John Friston | research scientist | 2013-2016 | Institute of Neurology, UCL |
Collaborators
Sign in to add collaboratorHarold H. Zakon | collaborator | 2013-2014 | Cambridge |
William D. Penny | collaborator | 2013-2016 | UCL |
Klaas Enno Stephan | collaborator | 2014-2016 | UCL |
BETA: Related publications
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Publications
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Da Costa L, Parr T, Sengupta B, et al. (2021) Neural Dynamics under Active Inference: Plausibility and Efficiency of Information Processing. Entropy (Basel, Switzerland). 23 |
Yufik YM, Sengupta B, Friston K. (2017) Editorial: Self-Organization in the Nervous System. Frontiers in Systems Neuroscience. 11: 69 |
Sengupta B, Tozzi A, Cooray GK, et al. (2016) Towards a Neuronal Gauge Theory. Plos Biology. 14: e1002400 |
Penny W, Sengupta B. (2016) Annealed Importance Sampling for Neural Mass Models. Plos Computational Biology. 12: e1004797 |
Cooray G, Sengupta B, Douglas P, et al. (2016) ID 202 – Characterising seizures in anti-NMDA-receptor encephalitis with Dynamic Causal Modelling Clinical Neurophysiology. 127: e111 |
Aponte EA, Raman S, Sengupta B, et al. (2015) mpdcm: A toolbox for massively parallel dynamic causal modeling. Journal of Neuroscience Methods. 257: 7-16 |
Cooray GK, Sengupta B, Douglas P, et al. (2015) Dynamic causal modelling of electrographic seizure activity using Bayesian belief updating. Neuroimage |
Sengupta B, Friston KJ, Penny WD. (2015) Gradient-based MCMC samplers for dynamic causal modelling. Neuroimage |
Cooray GK, Sengupta B, Douglas P, et al. (2015) Characterising seizures in anti-NMDA-receptor encephalitis with dynamic causal modelling. Neuroimage. 118: 508-519 |
Friston K, Levin M, Sengupta B, et al. (2015) Knowing one's place: a free-energy approach to pattern regulation. Journal of the Royal Society, Interface / the Royal Society. 12 |