Sakyasingha Dasgupta, Dr. rer. nat

Affiliations: 
2011-2015 Bernstein Center for Computational Neuroscience, Göttingen 
 2015- RIKEN Brain Science Institute, Wakō-shi, Saitama-ken, Japan 
Area:
Computational Neuroscience, Neurorobotics, Artificial Intelligence
Website:
https://sites.google.com/site/dsakyasite/
Google:
"Sakyasingha Dasgupta"
Mean distance: 14.58 (cluster 17)
 
SNBCP
Cross-listing: Neuropathology Tree - Robotree

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Publications

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Goldschmidt D, Manoonpong P, Dasgupta S. (2017) A Neurocomputational Model of Goal-Directed Navigation in Insect-Inspired Artificial Agents. Frontiers in Neurorobotics. 11: 20
Osogami T, Dasgupta S. (2017) Learning the values of the hyperparameters of a dynamic Boltzmann machine Ibm Journal of Research and Development. 61: 8:1-8:8
Sharpee TO, Destexhe A, Kawato M, et al. (2016) 25th Annual Computational Neuroscience Meeting: CNS-2016 Bmc Neuroscience. 17: 54
Dasgupta S, Goldschmidt D, Wörgötter F, et al. (2015) Distributed recurrent neural forward models with synaptic adaptation and CPG-based control for complex behaviors of walking robots. Frontiers in Neurorobotics. 9: 10
Tetzlaff C, Dasgupta S, Kulvicius T, et al. (2015) The Use of Hebbian Cell Assemblies for Nonlinear Computation. Scientific Reports. 5: 12866
Dasgupta S, Tetzlaff C, Kulvicius T, et al. (2015) Self-organization of computation in neural systems by interaction between homeostatic and synaptic plasticity Bmc Neuroscience. 16
Goldschmidt D, Dasgupta S, Wörgötter F, et al. (2015) A neural path integration mechanism for adaptive vector navigation in autonomous agents Proceedings of the International Joint Conference On Neural Networks. 2015
Tetzlaff C, Dasgupta S, Kulvicius T, et al. (2015) The Use of Hebbian Cell Assemblies for Nonlinear Computation Scientific Reports. 5
Ren G, Chen W, Dasgupta S, et al. (2015) Multiple chaotic central pattern generators with learning for legged locomotion and malfunction compensation Information Sciences. 294: 666-682
Dasgupta S, Wörgötter F, Manoonpong P. (2014) Neuromodulatory adaptive combination of correlation-based learning in cerebellum and reward-based learning in basal ganglia for goal-directed behavior control. Frontiers in Neural Circuits. 8: 126
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