Competition between synaptic depression and facilitation in attractor neural networks

Neural Computation

Volumn 19, Issue 10, 2007, Pages 2739-2755

  Torres, J J ^a   Cortes, J M ^a,b,c   Marro, J ^a   Kappen, H J ^b  

^a UNIVERSITY OF GRANADA   (Spain)

^b RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

^c UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMAL; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; HUMAN; MEMORY; MENTAL FUNCTION; MONTE CARLO METHOD; PHYSIOLOGY; SYNAPSE;

ANIMALS; COMPUTER SIMULATION; HUMANS; MEMORY; MENTAL PROCESSES; MONTE CARLO METHOD; NEURAL NETWORKS (COMPUTER); SYNAPSES;

EID: 35548974440     PISSN: 08997667     EISSN: 1530888X     Source Type: Journal    
DOI: 10.1162/neco.2007.19.10.2739     Document Type: Article

References (25)

1. Abbott, L. F., & Regehr, W. G. (2004). Synaptic computation. Nature, 431, 796-803.
2. Amit, D. J. (1989). Modeling brain function: The world of attractor neural networks. Cambridge: Cambridge University Press.
3. Bibitchkov, D., Herrmann, J. M., & Geisel, T. (2002). Pattern storage and processing in attractor networks with short-time synaptic dynamics. Network: Comput. Neural Syst., 13, 115-129.
4. 2+ buffers and synaptic efficacy. Cell Calcium, 37, 489-495.
5. Cortes, J. M., Garrido, P. L., Marro, J., & Torres, J. J. (2004). Switching between memories in neural automata with synaptic noise. Neurocomputing, 58-60, 67-71.
6. Cortes, J. M., Torres, J. J., Marro, J., Garrido, P. L., & Kappen, H. J. (2006). Effects of fast presynaptic noise in attractor neural networks. Neural Comput., 18(3), 614-633.
7. Hopfield, J. J. (1982). Neural networks and physical systems with emergent collective computational abilities. Proc. Natl. Acad. Sci. USA, 79, 2554-2558.
8. Laurent, G., Stopfer, M., Friedrich, R. W., Rabinovich, M. I., Volkovskii, A., & Abarbanel, H. D. I. (2001). Odor encoding as an active, dynamical process: Experiments, computation and theory. Annu. Rev. Neurosci., 24, 263-297.
9. Markram, H. H., & Tsodyks, M. V. (1996). Redistribution of synaptic efficacy between pyramidal neurons. Nature, 382, 807-810.
10. Markram, H. H., Wang, Y., & Tsodyks, M. V. (1998). Differential signaling via the same axon of neocortical pyramidal neurons. Proc. Natl Acad. Sci. USA, 95, 5323-5328.
11. Marro, J., & Dickman, R. (2005). Nonequilibrium phase transitions in lattice models. Cambridge: Cambridge University Press.
12. Marro, J., Garrido, P. L., & Torres, J. J. (1998). Effect of correlated fluctuations of synapses in the performance of neural networks. Phys. Rev. Lett., 81,2827-2830.
13. Marro, J., Torres, J. J., & Cortes, J. M. (2007). Chaotic hopping between attractors in neural networks. Neural Networks, 20, 230-235.
14. Marro, J., Torres, J. J., Cortes, J. M., & Wemmenhove, B. (2006). Sensitivity, itinerancy and chaos in partly-synchronized weighted networks. Manuscript submitted for publication.
15. Mazor, O., & Laurent, G. (2005). Transient dynamics versus fixed points in odor representations by locust antennal lobe projection neurons. Neuron, 48, 661-673.
16. Pantic, L., Torres, J. J., Kappen, H. J., & Gielen, S. C. A. M. (2002). Associative memory with dynamic synapses. Neural Comput., 14, 2903-2923.
17. Peretto, P. (1992). An introduction to the modeling of neural networks. Cambridge: Cambridge University Press.
18. Romani, S., Amit, D. J., & Mongillo, G. (2006). Mean-field analysis of selective persistent activity in presence of short-term synaptic depression. J. Comput. Neurosci.,20, 201-217.
19. Thomson, A. M., & Deuchars, J. (1994). Temporal and spatial properties of local circuits in neocortex. Trends Neurosci., 17, 119-126.
20. Torres, J. J., Marro, J., Garrido, P. L., Cortes, J. M., Ramos, F., & Munoz, M. A. (2005). Effects of static and dynamic disorder on the performance of neural automata. Biophysical Chemistry, 115, 285-288.
21. Torres, J. J., Pantic, L., & Kappen, H. J. (2002). Storage capacity of attractor neural networks with depressing synapses. Phys. Rev. E., 66, 061910.
22. Tsodyks, M. V., & Markram, H. H. (1997). The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability. Proc. Natl. Acad. Sci. USA, 94, 719-723.
23. Tsodyks, M., Pawelzik, K., & Markram, H. (1998). Neural networks with dynamic synapses. Neural Comput., 10, 821-835.
24. Wang, Y, Markram, H., Goodman, P. H., Berger, T. K., Ma, J., & Goldman-Rakic, P. S. (2006). Heterogeneity in the pyramidal network of the medial prefrontal cortex. Nature NeuroscL, 9, 534-542.
25. Zucker, R. S., & Regehr, W. G. (2002). Short-time synaptic plasticity. Annu. Rev. Physiol, 64, 355-405.