Abstract
We simulated a large scale spiking neural network characterized by an initial developmental phase featuring cell death driven by an excessive firing rate, followed by the onset of spike-timing-dependent synaptic plasticity (STDP), driven by spatiotemporal patterns of stimulation. The network activity stabilized such that recurrent preferred firing sequences appeared along the STDP phase. The analysis of the statistical properties of these patterns give hints to the hypothesis that a neural network may be characterized by a particular state of an underlying dynamical system that produces recurrent firing patterns.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Abeles, M.: Corticonics: Neural Circuits of the Cerebral Cortex, 1st edn. Cambridge University Press, Cambridge (1991)
Asai, Y., Yokoi, T., Villa, A.E.P: Detection of a dynamical system attractor from spike train analysis. In: Kollias, S., Stafylopatis, A., Duch, W., Oja, E. (eds.) ICANN 2006. LNCS, vol. 4131, pp. 623–631. Springer, Heidelberg (2006)
Bell, C.C., Han, V.Z., Sugawara, Y., Grant, K.: Synaptic plasticity in a cerebellum-like structure depends on temporal order. Nature 387(6630), 278–281 (1997)
Catalano, S.M., Shatz, C.J.: Activity-dependent cortical target selection by thalamic axons. Science 281(5376), 559–562 (1998)
Chechik, G., Meilijson, I., Ruppin, E.: Neuronal regulation: A mechanism for synaptic pruning during brain maturation. Neural Computation 11, 2061–2080 (1999)
Choi, D.W.: Glutamate neurotoxicity and diseases of the nervous system. Neuron 1(8), 623–634 (1988)
Hill, S., Villa, A.E.: Dynamic transitions in global network activity influenced by the balance of excitation and inhibtion. Network: computational neural networks 8, 165–184 (1997)
Iglesias, J., Eriksson, J., Grize, F., Tomassini, M., Villa, A.E: Dynamics of pruning in simulated large-scale spiking neural networks. BioSystems 79(1), 11–20 (2005)
Iglesias, J., Eriksson, J., Pardo, B., Tomassini, M., Villa, A.E.: Emergence of oriented cell assemblies associated with spike-timing-dependent plasticity. In: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (eds.) ICANN 2005. LNCS, vol. 3696, pp. 127–132. Springer, Heidelberg (2005)
Iglesias, J., Villa, A.: Neuronal cell death and synaptic pruning driven by spike-timing dependent plasticity. In: Kollias, S., Stafylopatis, A., Duch, W., Oja, E. (eds.) ICANN 2006. LNCS, vol. 4131, pp. 953–962. Springer, Heidelberg (2006)
Innocenti, G.M.: Exuberant development of connections, and its possible permissive role in cortical evolution. Trends in Neurosciences 18(9), 397–402 (1995)
Karmarkar, U.R., Buonomano, D.V.: A model of spike-timing dependent plasticity: one or two coincidence detectors? J. Neurophysiol. 88(1), 507–513 (2002)
Montgomery, J.M., Madison, D.V.: Discrete synaptic states define a major mechanism of synapse plasticity. Trends in Neurosciences 27(12), 744–750 (2004)
Rakic, P., Bourgeois, J., Eckenhoff, M.F., Zecevic, N., Goldman-Rakic, P.S.: Concurrent overproduction of synapses in diverse regions of the primate cerebral cortex. Science 232(4747), 232–235 (1986)
Shmiel, T., Drori, R., Shmiel, O., Ben-Shaul, Y.: Temporally precise cortical firing patterns are associated with distinct action segments. Journal of Neurophysiology 96(5), 2645–2652 (2006)
Tetko, I.V., Villa, A.E.: A comparative study of pattern detection algorithm and dynamical system approach using simulated spike trains. In: Gerstner, W., Hasler, M., Germond, A., Nicoud, J.-D. (eds.) ICANN 1997. LNCS, vol. 1327, pp. 37–42. Springer, Heidelberg (1997)
Tetko, I.V., Villa, A.E.: A pattern grouping algorithm for analysis of spatiotemporal patterns in neuronal spike trains. 1. detection of repeated patterns. Journal of Neuroscience Methods 105, 1–14 (2001)
Villa, A.E.: Time and the Brain. vol. 2. Harwood Academic Publishers (2000)
Villa, A.E., Tetko, I., Hyland, B., Najem, A.: Spatiotemporal activity patterns of rat cortical neurons predict responses in a conditioned task. Proc. Natl. Acad. Sci. USA 96, 1106–1111 (1999)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Iglesias, J., Chibirova, O.K., Villa, A.E.P. (2007). Nonlinear Dynamics Emerging in Large Scale Neural Networks with Ontogenetic and Epigenetic Processes. In: de Sá, J.M., Alexandre, L.A., Duch, W., Mandic, D. (eds) Artificial Neural Networks – ICANN 2007. ICANN 2007. Lecture Notes in Computer Science, vol 4668. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74690-4_59
Download citation
DOI: https://doi.org/10.1007/978-3-540-74690-4_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74689-8
Online ISBN: 978-3-540-74690-4
eBook Packages: Computer ScienceComputer Science (R0)