Quantitative information transfer through layers of spiking neurons connected by Mexican-Hat-type connectivity

Neurocomputing

Volumn 58-60, Issue , 2004, Pages 85-90

  Hamaguchi, Kosuke ^a   Aihara, Kazuyuki ^a  

^a UNIVERSITY OF TOKYO   (Japan)

Author keywords

Mexican Hat; Quantitative information; Synfire chain

Indexed keywords

FEEDFORWARD NEURAL NETWORKS; SIGNAL ENCODING;

INPUT SIGNALS; SPIKES;

NEUROLOGY;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAIN FUNCTION; FEEDBACK SYSTEM; INFORMATION PROCESSING; MATHEMATICAL MODEL; NEUROTRANSMISSION; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; SIMULATION; SPIKE WAVE;

EID: 2542468885     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2004.01.027     Document Type: Article

References (9)

1. Abeles M. Corticonics: Neural Circuits of the Cerebral Cortex 1991 Cambridge University Press Cambridge
2. Aihara K. Tokuda I. Possible neural coding with interevent intervals of synchronous firing Phys. Rev. E 66 2002 026212
3. Câteau H. Fukai T. Fokker-Planck approach to the pulse packet propagation in synfire chain Neural Networks 14 2001 675-685
4. Diesmann M. Gewaltig M.O. Aertsen A. Stable propagation of synchronous spiking in cortical neural networks Nature 402 1999 529-533
5. Gray C.M. Synchronous oscillations in neural systems: mechanisms and functions J. Comp. Neurol. 1 1994 11-38
6. Kistler W.M. Gerstner W. Stable propagation of activity pulses in populations of spiking neurons Neural Comput. 14 2002 987-997
7. Masuda N. Aihara K. Bridging rate coding and temporal spike coding by effect of noise Phys. Rev. Lett. 88 2002 248101
8. M.C.W. van Rossum, G.G. Turrigiano, S.B. Nelson, Fast propagation of firing rates through layered networks of noisy neurons, J. Neurosci. 22 (2002) 1956-1966.
9. Stein R.B. The information capacity of nerve cells using a frequency code Biophys. J. 7 1967 797-826