Synfire chain

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Organic neural network

title: "Synfire chain" type: doc version: 1 created: 2026-02-28 author: "Wikipedia contributors" status: active scope: public tags: ["neurons"] description: "Organic neural network" topic_path: "general/neurons" source: "https://en.wikipedia.org/wiki/Synfire_chain" license: "CC BY-SA 4.0" wikipedia_page_id: 0 wikipedia_revision_id: 0

::summary Organic neural network ::

A synfire chain (synchronous firing chain) is a feed-forward network of neurons with multiple layers or pools. In a synfire chain, neural impulses propagate synchronously back and forth from layer to layer. Each neuron in one layer feeds excitatory connections to neurons in the next, while each neuron in the receiving layer is excited by neurons in the previous layer.

History

The term synfire chain was first used by Moshe Abeles in 1982, as a structure that can guarantee a fixed level of activity in a network of excitatory neurons. He called this structure a “complete transmission line”. Griffith did not study its properties in any detail. A fairly similar idea in which synchronized reverberations among neuronal populations transfer information was suggested by Hebb in 1949.

Activity

Activity along a synfire chain propagates in a synchronous or an asynchronous mode. In the asynchronous mode, an elevated firing rate in one pool will accumulate, and increase the firing rate in the next layer. In the synchronous mode, a volley of spikes in one layer will elicit a synchronous volley in the other, after one synaptic delay. It has been argued that the only stable mode of transmission is the synchronous mode.

References

References

  1. Griffith J.S.. (1963). "On the stability of brain-like structures". Biophys. J..
  2. Hebb D.O.. (1949). "The Organization of Behavior: A Neuropsychological Theory". John Wiley And Sons, Inc..
  3. Abeles, M.. (1982). "Local Cortical Circuits: An Electrophysiological study". Springer.

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