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Spike propagation synchronized by temporally asymmetric Hebbian learning
Roland E Suri1, Terrence J Sejnowski
1Howard Hughes Medical Institute, The Salk Institute for Biological Studies, La Jolla, CA 92037, USA. rsuri@intopsys.com
Biological Cybernetics
|December 4, 2002
Summary
Temporally asymmetric Hebbian learning strengthens feedforward connections, enhancing synchronized neural spiking. This mechanism may explain how the brain rapidly propagates familiar stimuli across neuron populations.
Area of Science:
- Computational neuroscience
- Neural plasticity
Background:
- Synchronous neuronal firing is observed in the brain's cortex and hippocampus.
- The mechanisms for establishing and maintaining the synaptic connectivity required for synchronous spike propagation are not fully understood.
Purpose of the Study:
- To investigate how temporally asymmetric Hebbian synaptic plasticity influences the propagation of synchronous spike volleys using computer simulations.
- To explore the role of feedforward and recurrent connections, along with varying transmission delays, in neural synchronization.
Main Methods:
- Computer simulations of neuron populations with both feedforward and recurrent connections.
- Modeling of synaptic plasticity using a temporally asymmetric Hebbian learning rule.
- Analysis of synaptic conductance changes and spike volley propagation under varying transmission delays.
Main Results:
- Repeated input volleys reduced intragroup and feedback connection strengths.
- Feedforward connections with shorter transmission delays were strengthened over those with longer delays.
- These synaptic adaptations resulted in the synchronization of spike volleys during propagation.
Conclusions:
- Temporally asymmetric Hebbian learning can promote synchronized spiking within neural populations.
- This plasticity mechanism may contribute to the rapid propagation of synchronized spike volleys, potentially related to processing familiar stimuli.