Dynamic stochastic synapses as computational units

Neural Computation

Volumn 11, Issue 4, 1999, Pages 903-917

  Maass, Wolfgang ^a   Zador, Anthony M ^b  

^a GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

^b SALK INSTITUTE FOR BIOLOGICAL STUDIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTION POTENTIAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; NERVE CELL; PHYSIOLOGY; STATISTICS; SYNAPSE;

ACTION POTENTIALS; NEURAL NETWORKS (COMPUTER); NEURONS; STOCHASTIC PROCESSES; SYNAPSES;

EID: 0033561842     PISSN: 08997667     EISSN: None     Source Type: Journal    
DOI: 10.1162/089976699300016494     Document Type: Article

References (31)

1. Abbott, L., Varela, J., Sen, K., & Nelson, S.B. (1997). Synaptic depression and cortical gain control. Science, 275, 220-224.
2. Allen, C., & Stevens, C. (1994). An evaluation of causes for unreliability of synaptic transmission. PNAS, 91, 10380-10383.
3. Back, A. D., & Tsoi, A. C. (1991). FIR and IIR synapses, a new neural network architecture for time series modeling. Neural Computation, 3, 375-385.
4. Bolshakov, V., & Siegelbaum, S. A. (1995). Regulation of hippocampal transmitter release during development and long-term potentiation. Science, 269, 1730-1734.
5. Bugmann, G. (1998). Towards a neural model of timing. Biosystems, 48, 11-19.
6. Castro-Alamancos, M., & Connors, B. (1997). Distinct forms of short-term plasticity at excitatory synapses of hippocampus and neocortex. PNAS, 94, 4161-4166.
7. Dobrunz, L., & Stevens, C. (1997). Heterogeneity of release probability, facilitation and depletion at central synapses. Neuron, 18, 995-1008.
8. Harris, K. M., & Stevens, J. K. (1989). Dendritic spines of CA1 pyramical cells in the rat hippocampus: Serial electron microscopy with reference to their biophyscial characteristics. J. Neurosci., 9, 2982-2997.
9. Hessler, N., Shirke, A., & Malinow, R. (1993). The probability of transmitter release at a mammalian central synapse. Nature, 366, 569-572.
10. Katz, B. (1966). Nerve, muscle, and synapse. New York: McGraw-Hill.
11. Liaw, J.-S., & Berger, T. (1996). Dynamic synapse: A new concept of neural representation and computation. Hippocampus, 6, 591-600.
12. Lisman, J. (1997). Bursts as a unit of neural information: Making unreliable synapses reliable. TINS, 20, 38-43.
13. Little, W. A., & Shaw, G. L. (1975) A statistical theory of short and long term memory. Behavioral Biology, 14, 115-133.
14. Maass, W. (1997). Networks of spiking neurons: The third generation of neural network models. Neural Networks, 10(9), 1659-1671.
15. Maass, W., & Zador, A. (1998). Dynamic stochastic synapses as computational units (extended abstract). Advances of Neural Information Processing Systems, 10, 194-200.
16. Magleby, K. (1987). Short term synaptic plasticity. In G. M. Edelman, W. E. Gall, & W. M. Cowan (Eds.), Synaptic function. New York: Wiley.
17. Manabe, T., & Nicoll, R. (1994). Long-term potentiation: Evidence against an increase in transmitter release probability in the CA1 region of the hippocampus. Science, 265, 1888-1892.
18. Markram, H. (1997). A network of tufted layer 5 pyramidal neurons. Cerebral Cortex, 7, 523-533.
19. Markram, H., & Tsodyks, M. (1996). Redistribution of synaptic efficacy between neocortical pyramidal neurons. Nature, 382, 807-810.
20. Markram, H., & Tsodyks, M. (1997). The information content of action potential trains: A synaptic basis. Proc. of ICANN 97, 13-23.
21. Murthy, V., Sejnowski, T., & Stevens, C. (1997). Heterogeneous release properties of visualized individual hippocampal synapses. Neuron, 18, 599-612.
22. Principe, J. C. (1994). An analysis of the gamma memory in dynamic neural networks. IEEE Trans. on Neural Networks, 5(2), 331-337.
23. Rosenmund, C., Clements, J., & Westbrook, G. (1993). Nonuniform probability of glutamate release at a hippocampal synapse. Science, 262, 754-757.
24. Ryan, T., Ziv, N., & Smith, S. (1996). Potentiation of evoked vesicle turnover at individually resolved synaptic boutons. Neuron, 17, 125-134.
25. Stevens, C., & Wang, Y. (1995). Facilitation and depression at single central synapses. Neuron, 14, 795-802.
26. Stratford, K., Tarczy-Hornoch, K., Martin, K., Bannister, N., & Jack, J. (1996). Excitatory synaptic inputs to spiny stellate cells in cat visual cortex. Nature, 382, 258-261.
27. Tsodyks, M., & Markram, H. (1997). The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability. Proc. Natl. Acad. Sci., 94, 719-723.
28. Varela, J. A., Sen, K., Gibson, J., Fost, J., Abbott, L. F., & Nelson, S. B. (1997). A quantitative description of short-term plasticity at excitatory synapses in layer 2/3 of rat primary visual cortex. J. Neurosci., 17, 7926-7940.
29. Zador, A., & Dobrunz, L.E. (1997). Dynamic synapses in the cortex. Neuron, 19, 1-4.
30. Zador, A. M., Maass, W., & Natschläger, T. (1998). Learning in neural networks with dynamic synapses, in preparation.
31. Zucker, R. (1989). Short-term synaptic plasticity. Annual Review of Neuroscience, 12, 13-31.