| Year |
Citation |
Score |
| 2021 |
Da Costa L, Parr T, Sengupta B, Friston K. Neural Dynamics under Active Inference: Plausibility and Efficiency of Information Processing. Entropy (Basel, Switzerland). 23. PMID 33921298 DOI: 10.3390/e23040454 |
0.487 |
|
| 2017 |
Yufik YM, Sengupta B, Friston K. Editorial: Self-Organization in the Nervous System. Frontiers in Systems Neuroscience. 11: 69. PMID 29018337 DOI: 10.3389/fnsys.2017.00069 |
0.333 |
|
| 2016 |
Sengupta B, Tozzi A, Cooray GK, Douglas PK, Friston KJ. Towards a Neuronal Gauge Theory. Plos Biology. 14: e1002400. PMID 26953636 DOI: 10.1371/Journal.Pbio.1002400 |
0.468 |
|
| 2016 |
Penny W, Sengupta B. Annealed Importance Sampling for Neural Mass Models. Plos Computational Biology. 12: e1004797. PMID 26942606 DOI: 10.1371/Journal.Pcbi.1004797 |
0.575 |
|
| 2016 |
Cooray G, Sengupta B, Douglas P, Englund M, Wickstrom R, Friston K. ID 202 – Characterising seizures in anti-NMDA-receptor encephalitis with Dynamic Causal Modelling Clinical Neurophysiology. 127: e111. DOI: 10.1016/J.Clinph.2015.11.374 |
0.388 |
|
| 2015 |
Aponte EA, Raman S, Sengupta B, Penny WD, Stephan KE, Heinzle J. mpdcm: A toolbox for massively parallel dynamic causal modeling. Journal of Neuroscience Methods. 257: 7-16. PMID 26384541 DOI: 10.1016/J.Jneumeth.2015.09.009 |
0.668 |
|
| 2015 |
Cooray GK, Sengupta B, Douglas P, Friston K. Dynamic causal modelling of electrographic seizure activity using Bayesian belief updating. Neuroimage. PMID 26220742 DOI: 10.1016/J.Neuroimage.2015.07.063 |
0.431 |
|
| 2015 |
Sengupta B, Friston KJ, Penny WD. Gradient-based MCMC samplers for dynamic causal modelling. Neuroimage. PMID 26213349 DOI: 10.1016/J.Neuroimage.2015.07.043 |
0.598 |
|
| 2015 |
Cooray GK, Sengupta B, Douglas P, Englund M, Wickstrom R, Friston K. Characterising seizures in anti-NMDA-receptor encephalitis with dynamic causal modelling. Neuroimage. 118: 508-519. PMID 26032883 DOI: 10.1016/J.Neuroimage.2015.05.064 |
0.39 |
|
| 2015 |
Friston K, Levin M, Sengupta B, Pezzulo G. Knowing one's place: a free-energy approach to pattern regulation. Journal of the Royal Society, Interface / the Royal Society. 12. PMID 25788538 DOI: 10.1098/Rsif.2014.1383 |
0.472 |
|
| 2015 |
Sengupta B, Friston KJ, Penny WD. Gradient-free MCMC methods for dynamic causal modelling. Neuroimage. 112: 375-81. PMID 25776212 DOI: 10.1016/J.Neuroimage.2015.03.008 |
0.599 |
|
| 2014 |
Sengupta B, Friston KJ, Penny WD. Efficient gradient computation for dynamical models. Neuroimage. 98: 521-7. PMID 24769182 DOI: 10.1016/J.Neuroimage.2014.04.040 |
0.651 |
|
| 2014 |
Sengupta B, Laughlin SB, Niven JE. Consequences of converting graded to action potentials upon neural information coding and energy efficiency. Plos Computational Biology. 10: e1003439. PMID 24465197 DOI: 10.1371/journal.pcbi.1003439 |
0.771 |
|
| 2014 |
Sengupta B, Stemmler MB. Power consumption during neuronal computation Proceedings of the Ieee. 102: 738-750. DOI: 10.1109/JPROC.2014.2307755 |
0.632 |
|
| 2014 |
Sengupta B, Friston KJ, Penny WD. Gradient-based MCMC samplers for dynamic causal modelling Neuroimage. DOI: 10.1016/j.neuroimage.2015.07.043 |
0.57 |
|
| 2013 |
Chagas AM, Theis L, Sengupta B, Stüttgen MC, Bethge M, Schwarz C. Functional analysis of ultra high information rates conveyed by rat vibrissal primary afferents. Frontiers in Neural Circuits. 7: 190. PMID 24367295 DOI: 10.3389/Fncir.2013.00190 |
0.752 |
|
| 2013 |
Sengupta B, Laughlin SB, Niven JE. Balanced excitatory and inhibitory synaptic currents promote efficient coding and metabolic efficiency. Plos Computational Biology. 9: e1003263. PMID 24098105 DOI: 10.1371/journal.pcbi.1003263 |
0.765 |
|
| 2013 |
Wu M, Ye N, Sengupta B, Zakon HH. A naturally occurring amino acid substitution in the voltage-dependent sodium channel selectivity filter affects channel gating. Journal of Comparative Physiology. a, Neuroethology, Sensory, Neural, and Behavioral Physiology. 199: 829-42. PMID 23979192 DOI: 10.1007/S00359-013-0845-3 |
0.571 |
|
| 2013 |
Sengupta B, Stemmler MB, Friston KJ. Information and efficiency in the nervous system--a synthesis. Plos Computational Biology. 9: e1003157. PMID 23935475 DOI: 10.1371/journal.pcbi.1003157 |
0.735 |
|
| 2013 |
Sengupta B, Faisal AA, Laughlin SB, Niven JE. The effect of cell size and channel density on neuronal information encoding and energy efficiency. Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism. 33: 1465-73. PMID 23778164 DOI: 10.1038/jcbfm.2013.103 |
0.76 |
|
| 2011 |
Stemmler M, Sengupta B, Laughlin S, Niven J. Energetically optimal action potentials Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011. |
0.698 |
|
| 2010 |
Sengupta B, Stemmler M, Laughlin SB, Niven JE. Action potential energy efficiency varies among neuron types in vertebrates and invertebrates. Plos Computational Biology. 6: e1000840. PMID 20617202 DOI: 10.1371/journal.pcbi.1000840 |
0.731 |
|
| 2010 |
Sengupta B, Laughlin SB, Niven JE. Comparison of Langevin and Markov channel noise models for neuronal signal generation. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 81: 011918. PMID 20365410 DOI: 10.1103/PhysRevE.81.011918 |
0.75 |
|
| 2005 |
Sengupta B, Halliday D. Neuronal dynamics of dynamic synapses. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 4: 3636-9. PMID 17281014 DOI: 10.1109/IEMBS.2005.1617269 |
0.594 |
|
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