Circuits for VLSI implementation of temporally-asymmetric Hebbian learning

Advances in Neural Information Processing Systems

Volumn , Issue , 2002, Pages

  Dofill, Adria ^a   Murray, Alan F ^a   Thompson, Damon P ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CMOS INTEGRATED CIRCUITS;

BIOLOGICAL NEURON; HEBBIAN LEARNING; LEARNING RULES; SPIKING NEURON; SYNAPTIC STRENGTHS; TEMPORALLY ASYMMETRIC HEBBIAN; TUNABLE CIRCUITS; VLSI IMPLEMENTATION;

VLSI CIRCUITS;

EID: 84898984175     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. Markram, H., Lubke, J., Frotscher, M. & Sakmann, B.(1997) Regulation of Synaptic Efficacy by Coincidence of Postsynaptic APs and EPSPs. Science 275, 213-215.
2. Zhang, L.I., Tao, H.W., Holt, C.E., Harris, W.A. & Poo, M-m.(1998) A critical window for cooperation and competition among developing retinotectal synapses.Nature 395, 37.
3. Abbott, L.F. & Song, S.(1999) Temporally Asymmetric Hebbian Learning, Spike Timing and Neuronal Response Variability. In Kearns, M.S., Solla, S.A., & Cohn, D.A. (eds.), Advances in Neural Information Processing Systems 11, 69-75. Cambridge, MA: MIT Press.
4. Song, S., Miller, K.D. & Abbott, L.F.(2000) Competitive Hebbian Learning Through Spike-Timing Dependent Synaptic Plasticity. Nature Neuroscience 3, 919-926.
5. Rao, R.P.N., & Sejnowski, T. J.(2000) Predictive Sequence Learning in Recurrent Neo- cortical Circuits. In Solla, S.A., Leen, T.K. & Muller, K-R. (eds.), Advances in Neural Information Processing Systems 12, 164-170. Cambridge, MA: MIT Press.
6. Murray, A.F. & Smith, A.V.W.(1987) Asynchronous Arithmetic for VLSI Neural Systems. Electronic Letters 23, 642-643.
7. Murray, A.F. & Tarrasenko, L.(1994) Neural Computing : An Analogue VLSI Approach. Chapman-Hall.
8. Hafliger, P., Mahowald, M. & Watts, L. (1996) A Spike Based Learning Neuron in Analog VLSI. In Mozer, M.C., Jordan, M.I., & Petsche, T. (eds.), Advances in Neural Information Processing Systems 9, 692-698. Cambridge, MA: MIT Press.
9. Indiveri, G.(2000) Modeling Selective Attention Using a Neuromorphic Analog VLSI Device. Neural computation 12, 2857-2880.
10. van Schaik, A., Fragniere, E. & Vittoz, E.(1996) An Analogue Electronic Model of Ventral Cochlear Nucleus Neurons. In Proceedings of the 5th International Conference on Microelectronics for Neural, Fuzzy and Bio-inspired Systems; Microneuro '96, 52-59. Los Alamitos, CA: IEEE Computer Society Press.
11. Shams, M., Ebergen, J.C. & Elmasry, M.I. (1998) Modeling and Comparing CMOS Implementations of the C-elment. IEEE Transactions on Very Large Scale Intergration (VLSI) Systems, Vol. 6, No. 4, 563-567.
12. Gerstner, W., Kempter, R., van Hemmen, J.L. & Wagner, H.(1999) Hebbian Learning of Pulse Timing in the Barn Owl Auditory System. In Mass, W. & Bishop, C.M. (eds.), Pulsed Neural Networks. Cambridge, MA: MIT Press.