A generalized rotate-and-fire digital spiking neuron model and its on-FPGA learning

IEEE Transactions on Circuits and Systems II: Express Briefs

Volumn 58, Issue 10, 2011, Pages 677-681

  Matsubara, Takashi ^a   Torikai, Hiroyuki ^a   Hishiki, Tetsuya ^a  

^a OSAKA UNIVERSITY   (Japan)

Author keywords

Cellular automaton (CA); field programmable gate array (FPGA); neuron model; nonlinear dynamics; on chip learning; sequential logic circuit

Indexed keywords

ASYNCHRONOUS SEQUENTIAL LOGIC; BIOINFORMATICS; COMPUTER CIRCUITS; DYNAMICS; E-LEARNING; FIELD PROGRAMMABLE GATE ARRAYS (FPGA); LEARNING SYSTEMS; LOGIC GATES; NEURONS; ORDINARY DIFFERENTIAL EQUATIONS;

BIOLOGICAL NEURON; INHIBITORY RESPONSE; NEURON MODEL; NON-LINEAR PHENOMENA; NON-LINEAR RESPONSE; ON-CHIP LEARNING; SEQUENTIAL LOGIC CIRCUITS; SPIKING NEURON MODELS;

LEARNING ALGORITHMS;

EID: 80054855507     PISSN: 15497747     EISSN: 15583791     Source Type: Journal    
DOI: 10.1109/TCSII.2011.2161705     Document Type: Article

References (21)

1. C. Mead and M. Ismail, Analog VLSI Implementation of Neural Systems. New York: Springer-Verlag, 1989.
2. T. Massoud and T. Horiuchi, "A neuromorphic VLSI head direction cell system," IEEE Trans. Circuits Syst. I, Reg. Papers, vol. 58, no. 1, pp. 150-163, Jan. 2011.
3. A. Basu, S. Ramakrishnan, C. Petre, S. Koziol, S. Brink, and P. E. Hasler, "Neural dynamics in reconfigurable silicon," IEEE Trans. Biomed. Circuits Syst., vol. 4, no. 5, pp. 311-319, Oct. 2010.
4. J. V. Arthur and K. Boahen, "Silicon neuron design: The dynamical systems approach," IEEE Trans. Circuits Syst. I, Reg. Papers, vol. 58, no. 5, pp. 1034-1043, May 2011.
5. T. Schoenauer, S. Atasoy, N. Mehrtash, and H. Klar, "NeuroPipe-Chip: A digital neuro-processor for spiking neural networks," IEEE Trans. Neural Netw., vol. 13, no. 1, pp. 205-213, Jan. 2002. (Pubitemid 34236847)
6. R. K. Weinstein, M. S. Reid, and R. H. Lee, "Methodology and design flow for assisted neural-model implementations in FPGAs," IEEE Trans. Neural Syst. Rehabil. Eng., vol. 15, no. 1, pp. 83-93, Mar. 2007.
7. K. L. Rice, M. A. Bhuiyan, T. M. Taha, C. N. Vutsinas, and M. C. Smith, "FPGA implementation of Izhikevich spiking neural networks for character recognition," in Proc. ReConFig, 2009, pp. 451-456.
8. S. Hashimoto and H. Torikai, "A novel hybrid spiking neuron: Bifurcations, responses, and on-chip learning," IEEE Trans. Circuits Syst. I, Reg. Papers, vol. 57, no. 8, pp. 2168-2181, Aug. 2010.
9. T. Hishiki and H. Torikai, "A novel rotate-and-fire digital spiking neuron and its neuron-like bifurcations and responses," IEEE Trans. Neural Netw., vol. 22, no. 5, pp. 752-767, May 2011.
10. E. M. Izhikevich, "Which model to use for cortical spiking neurons?" IEEE Trans. Neural Netw., vol. 15, no. 5, pp. 1063-1070, Sep. 2004.
11. Recordings from LS interneurons. [Online]. Available: http://www.izhikevich.org/
12. V. F. Safiulina, M. D. Caiati, S. Sivakumaran, G. Bisson, M. Migliore, and E. Cherubini, "Control of GABA release at mossy fiber-CA3 connections in the developing hippocampus," Front. Synaptic Neurosci., vol. 2, 2010, Article 1.
13. NEURON simulator. [Online]. Available: http://www.neuron.yale.edu/ neuron/
14. R. D. Traub, E. H. Buhl, T. Gloveli, and M. A. Whittington, "Fast rhythmic bursting can be induced in layer 2/3 cortical neurons by enhancing persistent Na+ conductance or by blocking BK channels," J. Neurophysiol., vol. 89, no. 2, pp. 909-921, Feb. 2003. (Pubitemid 36206139)
15. T. Berger and D. Glanzman, Toward Replacement Parts for the Brain: Implantable Biomimetic Electronics as Neural Prostheses. Cambridge, MA: MIT Press, 2005.
16. E. M. Izhikevich, Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting. Cambridge, MA: MIT Press, 2007.
17. Y. Kuznetsov, Elements of Applied Bifurcation Theory. New York: Springer-Verlag, 2004.
18. M. di Bernardo, C. J. Budd, A. R. Champneys, and P. Kowalczyk, Piecewise-Smooth Dynamical Systems: Theory and Applications. New York: Springer-Verlag, 2008.
19. J. Victor and K. Purpura, "Metric-space analysis of spike trains: Theory, algorithms and application," Netw.: Comput. Neural Syst., vol. 8, no. 2, pp. 127-164, May 1997. (Pubitemid 127719538)
20. G. Bi and M. Poo, "Synaptic modifications in cultured hippocampal neurons: Dependence on spike timing, synaptic strength, and postsynaptic cell type," J. Neurosci., vol. 18, no. 24, pp. 10 464-10 472, Dec. 1998. (Pubitemid 29016566)
21. W. Maass, T. Natschläger, and H. Markram, "Real-time computing without stable states: A new framework for neural computation based on perturbations," Neural Comput., vol. 14, no. 11, pp. 2531-2560, Nov. 2002.