State space analysis of synchronous spiking in cortical neural networks

Neurocomputing

Volumn 38-40, Issue , 2001, Pages 565-571

  Diesmann, Markus ^a,d   Gewaltig, Marc Oliver ^b   Rotter, Stefan ^c   Aertsen, Ad ^c  

^a MAX PLANCK INSTITUTE FOR DYNAMICS AND SELF ORGANIZATION   (Germany)

^b Future Technology Research   (Germany)

^c UNIVERSITY OF FREIBURG   (Germany)

^d Mungsforschung   (Germany)

Author keywords

Feed forward; Integrate and fire; Pulse packets; Spike synchronization; Synfire chain

Indexed keywords

MAPPING; STATE SPACE METHODS; SYNCHRONIZATION;

SPIKING PRECISION;

NEURAL NETWORKS;

ARTICLE; BRAIN CORTEX; CONTROLLED STUDY; MODEL; MOLECULAR DYNAMICS; NERVE CELL MEMBRANE POTENTIAL; NERVE CELL NETWORK; NERVE CONDUCTION; NEUROTRANSMISSION; PRIORITY JOURNAL; SPIKE WAVE;

EID: 0035383980     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(01)00409-X     Document Type: Article

References (5)

1. M. Abeles, Corticonics: Neural Circuits of the Cerebral Cortex, Cambridge University Press, Cambridge, 1991.
2. M. Diesmann, M.-O. Gewaltig, A. Aertsen, Characterization of synfire activity by propagating 'pulse packets', in: J.M. Bower (Ed.), Computational Neuroscience: Trends in Research 1995, Academic Press, San Diego, 1996, pp. 59-64 (Chapter 10).
3. M. Diesmann, M.-O. Gewaltig, A. Aertsen, Conditions for stable propagation of synchronous spiking in cortical neural networks, Nature 402 (1999) 529-533.
4. M.-O. Gewaltig, M. Diesmann, A. Aertsen, Cortical synfire-activity: Configuration space and survival probability, Neurocomputing, 2001, this volume.
5. S. Rotter, M. Diesmann, Exact digital simulation of time-invariant linear systems with applications to neuronal modeling, Biol. Cyber. 81 (1999) 381-402.