Frankfurt Institute for Advanced
Studies,
Johann Wolfgang Goethe University,
Ruth-Moufang-Str.
1,
Frankfurt am Main,
Germany
Telephone +49 69 7984
7607 (off)
+49 163 258 3719 (cell)
Fax +49 69 7984 7611
joshi@fias.uni-frankfurt.de
www.fias.uni-frankfurt.de/~joshi
Computational Neuroscientist working as ''Postdoctoral Fellow'' in the lab of Prof. Jochen Triesch at Frankfurt Institute for Advanced Studies, Frankfurt, Germany.
Biophysical mechanisms of homeostasis in cortical circuits, e.g. synaptic scaling and intrinsic plasticity
Neurocomputational basis of working memory and decision making
Computational motor control
Computation with spiking neurons
Information processing in neural systems
Computational models of olfactory processing
Learning in biologically realistic circuits
Reservoir computing
Machine learning
Adaptive non-linear control
Humanoid robots
Postdoctoral Fellow at Frankfurt Institute for
Advanced Studies, Frankfurt, Germany
Sponsor: Prof. Jochen
Triesch
Postdoctoral Scholar in Biology at California
Institute of Technology, CALTECH, Pasadena, California, USA
Sponsor:
Prof. Christoph Koch and Dr. Ila Fiete
PhD in Computational Neuroscience at Technische
Universitaet Graz, Graz, Austria
Advisor: Prof. Wolfgang Maass
MS in Computer Science/Computational Neuroscience at
Center for Advanced Computer Studies, CACS, University of Louisiana,
Lafayette, USA
Advisor: Prof. Anthony S. Maida
BE in Electronics Engineering at Motilal Nehru Regional Engineering College (now called as Motilal Nehru National Institute of Technology), Allahabad, India
Reviewed articles for Neural Computation, Neural Networks, IEEE transactions on Neural Networks, Journal of Computational Neuroscience, Neurocomputing, Advances in Neural Information Processing Systems, Biological Cybernetics
Lecturer for the course ``Neural Networks B'' at Institute for Theoretical Computer Science, Graz University of Technology
Lecturer for the course ``Introduction to Theoretical Computer Science'' at Institute for Theoretical Computer Science, Graz University of Technology
Lecturer for the courses ``Introduction to Theoretical Computer Science'' and ``Neural Networks B'' at Institute for Theoretical Computer Science, Graz University of Technology
Lecturer for the course ``Neural Networks A'' at Institute for Theoretical Computer Science, Graz University of Technology
Operating Systems: Windows NT 4.0, Win95/98/2000/XP, and
UNIX/Linux.
Programming Languages: C, C++, VC++6.0, SQL, VHDL,
Python, Lisp, Java, and MATLAB.
API Programming: HLLAPI, MAPI,
MATLAB API.
Database Systems: Oracle, MS-Access.
Modelling
Tool: Rational Rose.
Archiving Tools: PVCS (Poly Version Control
System), CVS.
Technologies: HTML, ASP, and JavaScript, PWS, IIS.
Systems Engineer, at Mphasis BFL Ltd., Bangalore, India
Software Engineer, at Mahindra British Telecom, Pune, India
P. Joshi and J. Triesch. Homeostatic synaptic scaling via a stable, activity dependent Hebbian plasticity rule and the emergence of ocular dominance. 2009. Submitted for publication.
C. Savin, P. Joshi, and J. Triesch. ICA-like learning with spiking neurons. 2009. Submitted for publication.
P. Joshi and J. Triesch. Optimizing generic neural microcircuits through reward modulated STDP. In ICANN 2009: Proceedings of the 19th International Conference on Artificial Neural Networks, volume 5768 of Lecture Notes in Computer Science, pages 239–248, Berlin, Heidelberg, 2009. Springer-Verlag.
P. Joshi and J. Triesch. Optimizing microcircuits through reward modulated STDP. In Frontiers in Systems Neuroscience. Conference Abstract: Computational and systems neuroscience, COSYNE, 2009.
P. Joshi and J. Triesch. Rules for information maximization in spiking neurons using intrinsic plasticity. Neural Networks, IEEE - INNS - ENNS International Joint Conference on, pages 1456–1461, 2009.
P. Joshi and J. Triesch. A globally asymptotically stable plasticity rule for firing rate homeostasis. In ICANN 2008: Proceedings of the 18th International Conference on Artificial Neural Networks, volume 5164 of Lecture Notes in Computer Science, pages 567–576, Berlin, Heidelberg, 2008. Springer-Verlag.
P. Joshi. On the role of feedback in enhancing the computational power of generic neural microcircuits. PhD thesis, Graz University of Technology, 2007.
P. Joshi. Modeling working memory and decision making using generic neural microcircuits. In Stefanos Kollias, Andreas Stafylopatis, W lodzis law Duch, and Erkki Oja, editors, ICANN 2006: Proceedings of the 16th International Conference on Artificial Neural Networks, volume 4131 of Lecture Notes in Computer Science, pages 515–524, Berlin, Heidelberg, 2006. Springer.
P. Joshi. From memory based decisions to decision based movements: A model of interval discrimination followed by action selection. Neural Networks, 20:298–311, 2007.
W. Maass, P. Joshi, and E. D. Sontag. Computational aspects of feedback in neural circuits. PLoS Computational Biology, 3(1):e165, 1–20, 2007.
W. Maass, P. Joshi, and E. D. Sontag. Principles of real-time computing with feedback applied to cortical microcircuit models. In Y. Weiss, B. Schoelkopf, and J. Platt, editors, Advances in Neural Information Processing Systems, NIPS, volume 18, pages 835–842. MIT Press, 2006.
P. Joshi and W. Maass. Movement generation with circuits of spiking neurons. Neural Computation, 17(8):1715–1738, 2005.
P. Joshi and W. Maass. Movement generation and control with generic neural microcircuits. In A. J. Ijspeert, M. Murata, and N. Wakamiya, editors, Biologically Inspired Approaches to Advanced Information Technology. First International Workshop, BioADIT 2004, Lausanne, Switzerland, January 2004, Revised Selected Papers, volume 3141 of Lecture Notes in Computer Science, pages 258–273. Springer Verlag, 2004.
P. Joshi. Synthesis of a liquid state machine with hopfield/brody transient synchrony. Master’s thesis, Center for Advanced Computer Studies, University of Louisiana, Lafayette, USA, November 2002.