论文信息 - Analysis of synfire chains

Analysis of synfire chains

The biological implications of synfire-chain neural networks are explored by studying two idealized models. First a network model with binary firing neurons and parallel updating is proposed. This model can be solved exactly in the thermodynamic limit using the mean-field theory. An explicit equation for the capacity is obtained. In the second model, the synchrony of the pulse of activity along a synfire chain is investigated in the context of simple integrate-and-fire neurons. It is found that under natural assumptions a near-synchronous wave of activity can propagate stably along a synfire chain. The relevance of this result for real systems is discussed.

[1] M. Tsodyks. ASSOCIATIVE MEMORY IN NEURAL NETWORKS WITH THE HEBBIAN LEARNING RULE , 1989 .

[2] P. Peretto. An introduction to the modeling of neural networks , 1992 .

[3] M. Abeles. Local Cortical Circuits: An Electrophysiological Study , 1982 .

[4] Sompolinsky,et al. Storing infinite numbers of patterns in a spin-glass model of neural networks. , 1985, Physical review letters.

[5] J. Buhmann,et al. Associative memory with high information content. , 1989, Physical review. A, General physics.

[6] Sompolinsky,et al. Spin-glass models of neural networks. , 1985, Physical review. A, General physics.

[7] Professor Moshe Abeles,et al. Local Cortical Circuits , 1982, Studies of Brain Function.

[8] M. Tsodyks. Associative Memory in Asymmetric Diluted Network with Low Level of Activity , 1988 .

[9] E. Bienenstock. A model of neocortex , 1995 .

[10] D. Amit,et al. Statistical mechanics of neural networks near saturation , 1987 .

[11] J J Hopfield,et al. Neural networks and physical systems with emergent collective computational abilities. , 1982, Proceedings of the National Academy of Sciences of the United States of America.

[12] M. Tsodyks,et al. The Enhanced Storage Capacity in Neural Networks with Low Activity Level , 1988 .