Prashant Joshi: Publications
This list is also available as BiBTeX file.
[14]P. Joshi, and J. Triesch.
Homeostatic synaptic scaling via a stable, activity dependent
Hebbian plasticity rule and the emergence of ocular dominance.
Submitted for publication
[13]C. Savin, P. Joshi, and J. Triesch.
Independent component analysis in spiking neurons.
PLOS Computational Biology, 6(4): e1000757.doi:10.1371/journal.pcbi.1000757
(PDF, 1.2 M)
[12]P. Joshi, and J. Triesch.
Optimizing generic neural microcircuits using 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.
[11]P. Joshi, and J. Triesch.
Optimizing microcircuits through reward
modulated STDP.
Frontiers in Systems Neuroscience. Conference Abstract: Computational and systems neuroscience COSYNE. doi: 10.3389/conf.neuro.06.2009.03.281
[10]P. Joshi, and J. Triesch.
Rules for information-maximization in spiking neurons using intrinsic plasticity.
Neural Networks, IEEE - INNS - ENNS International Joint Conference on, IJCNN, pages 1456-1461, 2009
[9]P. Joshi, and J. Triesch.
A globally asymptotically stable plasticity rule for firing rate homeostasis.
ICANN 2008
[8]P. Joshi.
From memory based decisions to decision based
movements: A model of interval discrimination followed by action
selection.
Neural Networks 20 (2007) 298-311.
(PDF, 403 KB).
[7]P. Joshi.
On the role of feedback in enhancing the
computational power of generic neural microcircuits.
PhD thesis, Graz University of Technology, 2007.
(PDF, 2584 KB).
[6]P. Joshi.
Modeling working memory and decision making
using generic neural microcircuits.
In Stefanos Kollias, Andreas Stafylopatis, Wlodzislaw Duch, and Erkki
Oja, editors, Artificial Neural Networks -- ICANN 2006, volume
4131 of Lecture Notes in Computer Science, pages 515-524.
Springer, 2006.
(PDF, 568 KB).
[5]W. Maass, P. Joshi, and E. D. Sontag.
Computational aspects of feedback in neural
circuits.
PLOS Computational Biology, 3(1):e165, 1-20, 2007.
(PDF, 1526 KB).
[4]W. Maass, P. Joshi, and E. D. Sontag.
Principles of real-time computing with
feedback applied to cortical microcircuit models.
In Y. Weiss, B. Schölkopf, and J. Platt, editors, Advances in Neural
Information Processing Systems, volume 18, pages 835-842. MIT Press,
2006.
(PDF, 806 KB).
[3]P. Joshi and W. Maass.
Movement generation with circuits of
spiking neurons.
Neural Computation, 17(8):1715-1738, 2005.
(PDF, 1156 KB).
[2]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.
(PDF, 596 KB).
[1]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.