Real-time multi-board architecture for analog spiking neural networks

ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems

Volumn , Issue , 2010, Pages 1939-1942

  Saïghi, Sylvain ^a   Tomas, Jean ^a   Bornat, Yannick ^a   Belhadj, Bilel ^a   Malot, Olivia ^a   Renaud, Sylvie ^a  

^a UNIVERSITÉ DE BORDEAUX   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIALS; ANALOG MEMORIES; BACKPLANES; MODEL PARAMETERS; MODULAR ARCHITECTURES; SPIKING NEURAL NETWORKS; SYSTEM-BASED;

DIGITAL DEVICES; FABRICS; NETWORK ARCHITECTURE; NEURONS;

NEURAL NETWORKS;

EID: 77955998883     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISCAS.2010.5538039     Document Type: Conference Paper

References (13)

1. S. Saïghi, Y. Bornat, J. Tomas, S. Renaud, "A Library of Analog Operators Based on the Hodgkin-Huxley Formalism for the Design of Tunable, Real-Time, Silicon Neurons", IEEE Trans. on BioCAS, Accepted.
2. M. Pospischil, M. Toledo-Rodriguez, C. Monier, Z. Piwkowska, T. Bal, Y. Frégnac, H. Markram, and A. Destexhe, "Minimal Hodgkin-Huxley type models for different classes of cortical and thalamic neurons," Biol. Cybern., vol. 99, no. 4-5, pp. 427-441, 2008.
3. J. V. Arthur, K. Boahen, "Learning in Silicon: Timing is everything", Advances in Neural Information Processing systems (NIPS05), MIT Press, 2005.
4. G. Indiveri, E. Chicca, R. Douglas, "A VLSI array to low-power spiking neurons and bistable synapses with spike-timing dependent plasticity", IEEE Trans. on Neural Networks, Vol. 17, No 1, pp. 211-221, Jan. 2006.
5. R. J. Vogelstein, U. Mallik, J. T. Volgenstein, G. Cauwenberghs, "Dynamically Reconfigurable Silicon Array of Spiking Neurons With Conductance-Based Synapses", IEEE Trans. on Neural Networks, Vol. 18, No 1, Jan. 2007.
6. J. Schemmel, D. Bruederle, K. Meier, B. Ostendorf, "Modeling Synaptic Plasticity within Networks of Highly Accelerated I&F Neurons", IEEE Int. Symp. on Circuits and Systems, New-Orleans, LA, May 2007, pp. 3367-3370.
7. C. Koch, "Beyond Hodgkin and Huxley: Calcium and Calcium-Dependent Potassium Currents", in Biophysics of Computation, Oxford University Press, New-York, 1999, pp. 212-231.
8. A. Destexhe, Z.F. Mainen, T.J. Sejnowski, "An Efficient Method for Computing Synaptic Conductances Based on a Kinetic Model of Receptor Binding", Neural Computation, vol. 6, pp. 14-18, 1994.
9. Y. Bornat, J. Tomas, C. Lopez, O. Malot, B. Belhadj, S. Renaud, "Design of analog/digital simulator dedicated to real-time neurocomputing", in XXII Conf. on Design of Circuits and Integrated Systems, Sevilla, Spain, 2007.
10. A. Destexhe, Z. F. Mainen, "Plasticity in Single Neuron and Circuit Computation", Nature review Neuroscience, vol. 6, pp. 789-795, 2004.
11. B. Belhadj, J. Tomas, Y. Bornat, O. Malot, and S. Renaud, "Token-passing communication protocol in hardware based real-time spiking neural networks," in Proc. of SPIE, Bioengineered and Bioinspired Systems, Microtechnologies for the New Millenium, Dresden, Germany, 2009.
12. G. Orchard, A. Russel, K. Mazurek, F. Tenore, and R. Etienne-Cummings, "Configuring silicon neural networks using genetic algorithms," IEEE Int. Symp. on Circuits And Systems, Seattle, WA, May 2008, pp. 1048-1051.
13. L. Buhry, S. Saïghi, A. Giremus, E. Grivel, S. Renaud, "Automatic Tuning of Neuromimetic Integrated Circuits", Biom. Circuits and Systems Conf., Beijing, China, Nov. 26-28, 2009.