Real-time computing platform for spiking neurons (RT-spike)

IEEE Transactions on Neural Networks

Volumn 17, Issue 4, 2006, Pages 1050-1063

  Ros, Eduardo ^a   Ortigosa, Eva M ^a   Agís, Rodrigo ^a   Carrillo, Richard ^a   Arnold, Michael ^b  

^a UNIVERSITY OF GRANADA   (Spain)

^b SALK INSTITUTE FOR BIOLOGICAL STUDIES   (United States)

Author keywords

Field programmable gate arrays; Pipeline processing; Real time system; Spiking neural network hardware

Indexed keywords

COMPUTATIONAL METHODS; FIELD PROGRAMMABLE GATE ARRAYS; LEARNING SYSTEMS; PIPELINE PROCESSING SYSTEMS; REAL TIME SYSTEMS; SOFTWARE ENGINEERING;

HYBRID COMPUTING; SPIKE RESPONSE MODEL; SPIKING NEURAL NETWORK HARDWARE;

NEURAL NETWORKS;

ACTION POTENTIAL; ARTICLE; BIOLOGICAL MODEL; COMPUTER SYSTEM; NERVE CELL; PHYSIOLOGY;

ACTION POTENTIALS; COMPUTER SYSTEMS; MODELS, NEUROLOGICAL; NEURONS;

EID: 33747048376     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2006.875980     Document Type: Article

References (50)

1. M. Arnold, "Feedback learning in the olivary-cerebellar system," Ph.D. dissertation, Dept. Comp. Sci., Univ. Sydney, Sydney, Australia, 2001.
2. M. Berends, R. Maex, and E. De Schutter, "A detailed three-dimensional model of the cerebellar granular layer," Neurocomput., vol. 58-60, pp. 587-592, 2004.
3. M. Bezzi, T. Nieus, O. J.-M. Coenen, and E. D'Angelo, "An integrate-and-fire model of a cerebellar granule cell," Neurocomput., vol. 58-60, pp. 593-598, 2004.
4. C. Boucheny, R. Carrillo, E. Ros, and O. J.-M. D. Coenen, "Real-time spiking neural network: An adaptive cerebellar model," Lecture Notes Comput. Sci., vol. 3512, pp. 136-144, 2005.
5. Celoxica, Hardware Platforms 2001-2004 [Online]. Available: http:// www.celoxica.com
6. O. J.-M. D. Coenen, M. Arnold, T. Sejnowski, and M. Jabri, "Parallel fibre coding in the cerebellum for life-long learning," Auton. Rob., vol. 11, no. 3, pp. 291-297, 2001.
7. V. Dante, P. Del Giudice, and A. M. Whatley, "Hardware and software interfacing to address-event based neuromorphic systems," Neuromorph. Eng., vol. 2, no. 1, pp. 5-6, 2005.
8. A. Delorme and S. Thorpe, "SpikeNET: An event-driven simulation package for modelling large networks of spiking neurons," Network Comput. Neural Syst., vol. 14, pp. 613-627, 2003.
9. R. Eckhorn, R. Bauer, W. Jordan, M. Brosh, W. Kruse, M. Munk, and H. J. Reitboeck, "Coherent oscillations: A mechanism of feature linking in the visual cortex?," Biol. Cyber., vol. 60, pp. 121-130, 1988.
10. R. Eckhorn, H. J. Reitboeck, M. Arndt, and P. Dicke, "Feature linking via stimulus evoked oscillations: Experimental results from cat visual cortex and functional implication from a network model," in Proc. ICNN I, 1989, pp. 723-720.
11. R. Eckhorn, H. J. Reitboeck, M. Arndt, and P. Dicke, "Feature linking via synchronization among distributed assemblies: Simulations of results from cat visual cortex," Neural Comput., vol. 2, pp. 293-307, 1990.
12. R. Eckhorn, A. M. Gail, A. Bruns, A. Gabriel, B. Al-Shaikhli, and M. Saam, "Different types of signal coupling in the visual cortex related to neural mechanisms of associative processing and perception," IEEE Trans. Neural Netw., vol. 15, no. 5, pp. 1039-1052, Sep. 2004.
13. U. Ernst, K. Pawelzik, and T. Geisel, "Synchronization induced by temporal delays in pulse-coupled oscillations," Phys. Rev. Lett., vol. 74, pp. 1570-1573, 1995.
14. D. Gall, F. Prestori, E. Sola, A. D'Errico, C. Roussel, L. Forti, P. Rossi, and E. D'Angelo, "Intracellular calcium regulation by burst discharge determines bidirectional long-term synaptic plasticity at the cerebellum input stage," J. Neurosci., vol. 25, pp. 4813-4822, 2005.
15. W. Gerstner and W. Kistler, Spiking Neuron Models. Cambridge, U.K.: Cambridge Univ. Press, 2002.
16. E. L. Graas, E. A. Brown, and R. H. Lee, "An FPGA-based approach to high-speed simulation of conductance-based neuron models," Neuroinf., vol. 2, pp. 417-435, 2004.
17. G. Hartmann, G. Frank, M. Schaefer, and C. Wolff, "SPIKE128K - An accelerator for dynamic simulation of large pulse-coded networks," in MicroNeuro'97, 1997, pp. 130-139.
18. H. H. Hellmich and H. Klar, "SEE: A concept for an FPGA based emulation engine for spiking neurons with adaptive weights," in 5th WSEAS Int. Conf. Neural Networks Applications (NNA '04), Udine, Italy, 2004, pp. 930-935.
19. J. Hill, W. McColl, D. Stefanescu, M. Goudreau, K. Lang, S. Rao, T. Suel, T. Tsantilas, and R. Bisseling, "BSPlib: The BSP programming library," Parallel Comput., vol. 24, no. 14, pp. 1947-1980, 1998.
20. M. Ito, The Cerebellum and Neural Control. New York: Raven, 1984.
21. E. M. Izhikevich, "Which model to use for cortical spiking neurons?," IEEE Trans. Neural Netw., vol. 15, no. 5, pp. 1063-1070, Sep. 2004.
22. A. Jahnke, T. Schoenauer, U. Roth, K. Mohraz, and H. Klar, "Simulation of spiking neural networks on different hardware platforms," in ICANN97, 1997, vol. 1327, Lecture Notes Comput. Sci., pp. 1187-1192.
23. A. Janke, U. Roth, and H. Klar, "A SIMD/dataflow architecture for a neurocomputer for spike-processing neural networks (NESPINN)," in Proc. MicroNeuro'96, 1996, pp. 232-237.
24. N. Kopell and B. Ermentrout, "Chemical and electrical synapses perform complementary roles in the synchronization on interneuronal networks," Proc. Nat. Acad. Sci. USA, vol. 101, no. 43, pp. 15482-15487, 2004.
25. G. La Camera, W. Seen, and S. Fusi, "Equivalent networks of conductance- and current-driven neurons," Lecture Notes Comput. Sci., vol. 2714, pp. 449-452, 2003.
26. G. La Camera, W. Seen, and S. Fusi, "Comparison between networks of conductance- and current-driven neurons: Stationary spike rates and subthreshold depolarization," Neurocomput., vol. 58-60, pp. 253-258, 2004.
27. C. M. Lin and Y. F. Peng, "Missile guidance law design using adaptive cerebellar model articulation controller," IEEE Trans. Neural Netw., vol. 16, no. 3, pp. 636-644, May 2005.
28. R. Maex and E. De Schutter, "Resonant synchronization in heterogeneous networks of inhibitory neurons," J. Neurosci., vol. 23, no. 33, pp. 10503-10514, 2003.
29. S. Le Masson, A. Laflaquiere, T. Bal, and G. Le Masson, "Analog circuits for modeling biological neural networks: Design and applications," IEEE Trans. Biomed. Eng., vol. 46, no. 6, pp. 638-645, Jun. 1999.
30. G. Le Masson, S. R. Le Masson, D. Debay, and T. Bal, "Feedback inhibition controls spike transfer in hybrid thalamic circuits," Nature, vol. 417, pp. 854-858, 2002.
31. M. Mattia and P. Del Giudice, "Efficient event-driven simulation of large networks of spiking neurons and dynamical synapses," Neural Comput., vol. 12, pp. 2305-2329, 2000.
32. 2INN): A system approach," IEEE Trans. Neural Netw., vol. 14, no. 5, pp. 980-992, Sep. 2003.
33. S. J. Mitchell and R. A. Silver, "Shunting inhibition modulates neuronal gain during synaptic excitation," Neuron, vol. 38, no. 3, pp. 433-445, 2003.
34. Z. Nusser, S. Cull-Candy, and M. Farrant, "Differences in synaptic GABA(A) receptor number underlie variation in GABA mini amplitude," Neuron, vol. 19, no. 3, pp. 697-709, 1997.
35. D. Philipona and O. J.-M. D. Coenen, "Model of granular layer encoding in the cerebellum," Neurocomput., vol. 58-60, pp. 575-580, 2004.
36. J. Reutimann, M. Giugliano, and S. Fusi, "Event-driven simulation of spiking neurons with stochastic dynamics," Neural Comput., vol. 15, pp. 811-830, 2003.
37. E. Ros, R. R. Carrillo, E. M. Ortigosa, B. Barbour, and R. Agís, "Event-driven simulation scheme for spiking neural networks using look-up tables to characterize neuronal dynamics," Neural Comput., 2006, accepted for publication.
38. R. R. Carrillo, E. Ros, B. Barbour, C. Boucheny, and O. Coenen, "Event-driven simulation of neural population synchronization facilitated by electrical coupling," Biosyst., 2006, accepted for publication.
39. D. J. Rossi and M. Hamann, "Spillover-mediated transmission at inhibitory synapses promoted by high affinity alpha6 subunit GABA(A) receptors and glomerular geometry," Neuron, vol. 20, no. 4, pp. 783-795, 1998.
40. 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.
41. M. Shaefer, T. Schoenauer, C. Wolff, G. Hartmann, H. Klar, and U. Rueckert, "Simulation of spiking neural networks - Architectures and implementations," Neurocomput., vol. 48, pp. 647-679, 2002.
42. R. A. Silver, D. Colquhoun, S. G. Cull-Candy, and B. Edmonds, "Deactivation and desensitization of non-NMDA receptors in patches and the time course of EPSCs in rat cerebellar granule cells," J. Physiol., vol. 493, no. 1, pp. 167-173, 1996.
43. L. S. Smith and D. S. Fraser, "Robust sound onset detection using leaky integrate-and-dire neurons with depressing synapses," IEEE Trans. Neural Netw., vol. 15, no. 5, pp. 1125-1134, Sep. 2004.
44. I. Sugihara, E. J. Lang, and R. Llinas, "Unifrom olivocerebllar conduction time underlies Purkinje cell complex spike synchronicity in the rat cerebellum," J. Physiol., vol. 470, pp. 243-271, 1993.
45. Celoxica, Technical library [Online]. Available: http://www.celoxica.com/ techlib/default.asp
46. S. Tia, J. K. Wang, N. Kotchabhakdi, and S. Vicini, "Developmental changes of inhibitory synaptic currents in cerebellar granule neurons: Role of GABA (A) receptor alpha 6 subunit," J. Neurosci., vol. 16, no. 11, pp. 3630-3640, 1996.
47. C. van Vreeswjik, L. F. Abbott, and G. B. Ermentrout, "When inhibition not excitation synchronizes neural firing," J. Comput. Neurosci., vol. 1, pp. 313-321, 1994.
48. R. J. Vogelstein, U. Mallik, and G. Cauwenberghs, "Beyond event-driven communication: Dynamically-reconfigurable spiking neural systems," Neuromorph. Eng., vol. 1, no. 1, pp. 1, 9, 2004.
49. Xilinx, FPGA devices 1994-2003 [Online]. Available: http://www.xilinx.com
50. B. Yu and L. Zhang, "Pulse-coupled neural networks for contour and motion matchings," IEEE Trans. Neural Netw., vol. 15, no. 5, pp. 1186-1201, Sep. 2004.