Effect of stimulus-driven pruning on the detection of spatiotemporal patterns of activity in large neural networks

BioSystems

Volumn 89, Issue 1-3, 2007, Pages 287-293

  Iglesias, Javier ^a,b   Villa, Alessandro E P ^a,b  

^a INSERM   (France)

^b UNIVERSITY OF LAUSANNE   (Switzerland)

Author keywords

Locally connected random network; Preferred firing sequence; Spike timing dependent synaptic plasticity; Spiking neural network

Indexed keywords

BIOMARKER; EMBRYO; NERVOUS SYSTEM; PRUNING; SPATIOTEMPORAL ANALYSIS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CELL FUNCTION; NERVE CELL; NERVE CELL PLASTICITY; NERVE CONDUCTION; NERVE STIMULATION; SPIKE WAVE; SYNAPSE;

EID: 34247867998     PISSN: 03032647     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biosystems.2006.05.020     Document Type: Article

References (27)

1. Abeles M. Quantification, smoothing, and confidence limits for single-units' histograms. J. Neurosci. Meth. 5 (1982) 317-325
2. Abeles M. Corticonics: Neural Circuits of the Cerebral Cortex. 1st ed. (1991), Cambridge University Press
3. Abraham W.C., and Bear M.F. Metaplasticity: the plasticity of synaptic plasticity. Trends Neurosci. 19 4 (1996) 126-130
4. Bell C.C., Han V.Z., Sugawara Y., and Grant K. Synaptic plasticity in a cerebellum-like structure depends on temporal order. Nature 387 6630 (1997) 278-281
5. Bourgeois J., and Rakic P. Changes of synaptic density in the primary visual cortex of the macaque monkey from fetal to adult stage. J. Neurosci. 13 (1993) 2801-2820
6. Celletti A., Froeschlé C., Tetko I.V., and Villa A.E.P. Deterministic behaviour of short time series. Meccanica 34 (1999) 145-152
7. Celletti A., and Villa A.E.P. Determination of chaotic attractors in the rat brain. J. Stat. Phys. 84 (1996) 1379-1385
8. Chechik G., Meilijson I., and Ruppin E. Neuronal regulation: a mechanism for synaptic pruning during brain maturation. Neural Comput. 11 (1999) 2061-2080
9. Eriksson J., Torres O., Mitchell A., Tucker G., and Lindsay K. Spiking neural network for reconfigurable POEtic tissue. Lect. Notes Comput. Sci. 2606 (2003) 165-173
10. Hubel D.H., Wiesel T.N., and LeVay S. Plasticity of ocular dominance columns in monkey striate cortex. Philos. Trans. R. Soc. Lond. B: Biol. Sci. 278 961 (1977) 377-409
11. Huttenlocher P.R. Synaptic density in human frontal cortex-developmental changes and effects of aging. Brain Res. 163 2 (1979) 195-205
12. Huttenlocher P.R., de Courten C., Garey L.J., and Van der Loos H. Synaptogenesis in human visual cortex-evidence for synapse elimination during normal development. Neurosci. Lett. 33 3 (1982) 247-252
13. Iglesias J., Eriksson J., Grize F., Tomassini M., and Villa A.E. Dynamics of pruning in simulated large-scale spiking neural networks. BioSystems 79 1 (2005) 11-20
14. Iglesias J., Eriksson J., Pardo B., Tomassini M., and Villa A.E. Emergence of oriented cell assemblies associated with spike-timing-dependent plasticity. Lect. Notes Comput. Sci. 3696 (2005) 127-132
15. Innocenti G.M. Exuberant development of connections, and its possible permissive role in cortical evolution. Trends Neurosci. 18 9 (1995) 397-402
16. Izhikevich E.M., Gally J.A., and Edelman G.M. Spike-timing dynamics of neuronal groups. Cereb. Cortex 14 (2004) 933-944
17. Mimura K., Kimoto T., and Okada M. Synapse efficiency diverge due to synaptic pruning following over-growth. Phys. Rev. E: Stat. Nonlin. Soft Matter Phys. 68 (2003) 031910
18. Montgomery J.M., and Madison D.V. Discrete synaptic states define a major mechanism of synapse plasticity. Trends Neurosci. 27 12 (2004) 744-750
19. Nakamura H., and O'Leary D.D. Inaccuracies in initial growth and arborization of chick retinotectal axons followed by course corrections and axon remodeling to develop topographic order. J. Neurosci. 9 11 (1989) 3776-3795
20. Perkel D.H., Gerstein G.L., and Moore G.P. Neuronal spike trains and stochastic point processes. Part II. Simultaneous spike trains. Biophys. J. 7 (1967) 419-440
21. Rakic P. Development of visual centers in the primate brain depends on binocular competition before birth. Science 4523 (1981) 928-931
22. Roberts P.D., and Bell C.C. Spike timing dependent synaptic plasticity in biological systems. Biol. Cybern. 87 (2002) 392-403
23. Tetko I.V., and Villa A.E. Fast combinatorial methods to estimate the probability of complex temporal patterns of spikes. Biol. Cybern. 76 (1997) 397-407
24. Tetko I.V., and Villa A.E. A pattern grouping algorithm for analysis of spatiotemporal patterns in neuronal spike trains. Part 1. Detection of repeated patterns. J. Neurosci. Meth. 105 (2001) 1-14
25. Torres O., Eriksson J., Moreno J.M., and Villa A.E. Hardware optimization and serial implementation of a novel spiking neuron model for the POEtic tissue. BioSystems 76 1 (2004) 201-208
26. Tyrrell A.M., Sanchez E., Floreano D., Tempesti G., and Mange D. POEtic: an integrated architecture for bio-inspired hardware. Lect. Notes Comput. Sci. 2606 (2003) 129-140
27. Villa A.E.P. Empirical evidence about temporal structure in multi-unit recordings. Time and the Brain. Chapter 1 (2000), Harwood Academic Publishers pp. 1-51