Antidromic Spikes Drive Hebbian Learning in an Artificial Dendritic Tree

Analog Integrated Circuits and Signal Processing

Volumn 18, Issue 2-3, 1999, Pages 141-152

  Westerman, Wayne C ^a   Northmore, David P M ^a   Elias, John G ^a  

^a UNIVERSITY OF DELAWARE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS; VLSI CIRCUITS;

ARTIFICIAL DENDRITIC TREE; HEBBIAN LEARNING; SPIKING SYSTEMS;

NEURAL NETWORKS;

EID: 0032639427     PISSN: 09251030     EISSN: None     Source Type: Journal    
DOI: 10.1023/a:1008303220287     Document Type: Article

References (37)

1. A. Artola and W. Singer, "Long-term depression of excitatory synaptic transmission and its relationship to long-term potentiation." Trends in Neurosci. 16, pp. 480-487, 1993.
2. D. A. Baxter and J. H. Byrne, "Learning Rules from Neurobiology." in The Neurobiology of Neural Networks. D. Gardner, ed., pp. 71-104, 1993.
3. M. F. Bear, L. N. Cooper, and F. F. Ebner, "A Physiological Basis for a Theory of Synapse Modification." Science 237, pp. 42-48, 1987.
4. E. L. Bienenstock, L. N. Cooper, and P. W. Munro, "Theory for the Development of Neuron Selectivity: Orientation Specificity and Binocular Interaction in Visual Cortex." J. of Neurosci. 2, pp. 32-48, 1982.
5. T. H. Brown, E. W. Kairiss, and C. L. Keenan, "Hebbian Synapses: Biopysical Mechanisms and Algorithms." Ann. Rev. of Neurosci. 13, pp. 475-511, 1990.
6. G. Cauwenberghs, "Analog VLSI Long-Term Dynamic Storage." Proc. of IEEE Int. Symp. on Circuits and Systems 3, pp. 334-336, 1996.
7. G. Cauwenberghs and A. Yariv, "Fault-Tolerant Dynamic Multilevel Storage in Analog VLSI." IEEE Trans. on Circuits and Systems 41, pp. 827-829, 1994.
8. J. Donald and L. Akers, "An Adaptive Neural Processing Node." IEEE Trans. on Neural Networks 4(3), pp. 413-426, 1993.
9. J. G. Elias, "Genetic Generation of Connection Patterns for a Dynamic Artificial Neural Network." in Combinations of Genetic Algorithms and Neural Networks. eds. L. D. Whitley and J. D. Schaffer, IEEE Computer Society Press, Los Alamitos, CA, pp. 38-54, 1992.
10. J. G. Elias, "Artificial dendritic trees." Neural Computation 5, pp. 648-663, 1993.
11. J. G. Elias and D. P. M. Northmore, "Switched-Capacitor Neuromorphs with wide-range variable dynamics." IEEE Trans. on Neural Networks 6, pp. 1542-1548, 1995.
12. J. G. Elias, D. P. M. Northmore, and W. Westerman, "An Analog Memory Device for Spiking Silicon Neurons." Neural Computation 9, pp. 419-440, 1997.
13. J. C. Eccles, (1964) The Physiology of Synapses. Springer, Berlin.
14. W. Gerstner, R. Kempter, J. L. van Hemmen, and H. Wagner, "A Neuronal Learning Rule for Sub-Millisecond Temporal Coding." Nature 383, pp. 76-78, 1996.
15. W. Gerstner, R. Ritz, and J. Leo van Hemmen, "Why Spikes? Hebbian Learning and Retrieval of Time-Resolved Excitation Patterns." Biological Cybernetics 69, pp. 503-515, 1993.
16. J. I. Gold and M. F. Bear, "A Model of Dendritic Spine Ca2 + Concentration Exploring Possible Bases for a Sliding Synaptic Modification Threshold." Proc. of the National Academy of Sciences 91, pp. 3941-3945, 1994.
17. P. Hafliger, M. Mahowald, and L. Watts, "A spike based learning neuron in analog VLSI." NIPS pp. 692-698, 1996.
18. P. Hasler, C. Diorio, B. A. Minch, and C. Mead, "Single Transistor Learning Synapses with Long-Term Storage." Proc. IEEE Int. Symp. on Circuits and Systems 3, pp. 1660-1663, 1995.
19. D. O. Hebb (1949) The Organization of Behavior. Wiley, New York.
20. J. R. Huguenard, O. P. Hamill, and D. A. Prince, "Sodium channels in dendrites of rat cortical pyramidal neurons." Proc. Natl. Acad. Sci. USA. 86, pp. 2473-2477, 1989.
21. B. Kosko, "Differential Hebbian learning." In J. S. Denker (Ed.), AIP Conference Proceedings 151 : Neural Networks for Computing. New York: American Institute of Physics, pp. 277-282, 1986.
22. R. Llinas and M. Sugimori, "Electrophysiological properties of in vitro Purkinje cell somata in mammalian cerebellar slices." J. Physiol. 305, pp. 171-195, 1980.
23. M. A. Mahowald, "Evolving Analog VLSI Neurons." in Single Neuron Computation. T. McKenna, J. Davis, S. F. Zornetzer, eds., Academic Press, Inc., pp. 413-435, 1992.
24. W Maass, "Fast sigmoidal networks via spiking neurons." Neural Computation 9, pp. 279-304, 1997.
25. J. C. Magee and D. Johnston, "A synaptically controlled, associative signal for Hebbian plasticity in hippocampal neurons." Science 275, pp. 209-213, 1997.
26. H. Markram, P. J. Helm, and B. Sakmann, "Dendritic calcium transients evoked by single back-propagating action potentials in rat neocortical pyramidal neurons." Journal of Physiology (Lond), 485.1, pp. 1-20, 1995.
27. H. Markram, J. Lubke, M. Frotscher, and B. Sakmann, "Regulation of synaptic efficacy by postsynaptic APs and EPSPs." Science 275, pp. 213-215, 1997.
28. D. P. M. Northmore and J. G. Elias, "Spike Train Processing by a Silicon Neuromorph: The Role of Sublinear Summation in Dendrites." Neural Computation 8, pp. 1245-1265, 1996.
29. E. Oja, "A Simplified Neuron Model as a Principal Component Analyzer" J. of Mathematical Biology 15, pp. 267-273, 1982.
30. E. Oja, "Principal Components, Minor Components and Linear Neural Networks." Neural Networks 5, pp. 927-935, 1992.
31. W. Rall, R. E. Burke, W. R. Holmes, J. J. B. Jack, S. J. Redman, and I. Segev, "Matching dendritic neuron models to experimental data." Physiol. Revs. 4 (Suppl), S159-S186, 1992.
32. W. Regehr, J. Kehoe, P. Ascher, and C. Armstrong, "Synaptically triggered action potentials in dendrites." Neuron 11, pp. 145-151, 1993.
33. B. Ruf and M. Schmitt, "Hebbian Learning in Networks of Spiking Neurons Using Temporal Coding." NeuroCOLT Technical Report Series NC-TR-97-027, 1997.
34. T. Shibata and T. Ohmi, "A Functional MOS Transistor Featuring Gate-Level Weighted Sum and Threshold Operations." IEEE Trans. on Electron Devices 39, pp. 1444-1455, 1992.
35. N. Spruston, Y. Schiller, G. Stuart, and B. Sakmann, "Activity-Dependant Action Potential Invasion and Calcium Influx into Hippocampal CA1 Dendrites." Science 268, pp. 297-300, 1995.
36. G. J. Stuart and B. Sakmann, "Active Propagation of Somatic Action Potentials into Neocortical Pyramidal Cell Dendrites." Nature 367, pp. 69-72, 1994.
37. W. C. Westerman, D. P. M. Northmore, and J. G. Elias, "Neuromorphic Synapses for Artificial Dendrites." Analog Integrated Circuits and Signal Processing 13, pp. 171-188, 1997.