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Synaptic and temporal ensemble interpretation of spike-timing-dependent plasticity
Peter A Appleby1, Terry Elliott
1Department of Electronics and Computer Science, University of Southampton, Highfield, Southampton SO17 1BJ, UK. paa02r@ecs.soton.ac.uk
Neural Computation
|September 15, 2005
Summary
A simple synaptic switch model explains timing-dependent plasticity by averaging effects across many synapses. This reveals a critical window for spike timing as an emergent property, unifying different plasticity rules.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Synaptic Plasticity
Background:
- Synaptic plasticity, the ability of synapses to strengthen or weaken over time, is crucial for learning and memory.
- Existing models often describe different forms of plasticity, such as spike-timing-dependent plasticity (STDP) and rate-based plasticity, as separate phenomena.
Purpose of the Study:
- To propose a simple, unified model for synaptic plasticity.
- To demonstrate how diverse experimental findings in timing-dependent plasticity can emerge from a single underlying rule.
- To reconcile STDP and rate-based plasticity within a single framework.
Main Methods:
- Postulating a three-state synaptic switch model for individual synapses.
- Utilizing temporal and spatial averaging over multiple synapses and spike pairings.
- Analyzing the emergent properties of the collective synaptic system.
Main Results:
- A critical window for pre- and postsynaptic spike interactions emerges as an ensemble property.
- Individual synapses exhibit minimal spike coincidence detection.
- A Bienenstock-Cooper-Munro-like rate-based plasticity rule is directly derived from the model.
Conclusions:
- A simple three-state synaptic switch can govern synaptic strength changes.
- Two distinct forms of neuronal plasticity (STDP and rate-based) can arise from a single, simpler rule.
- This unified model provides a parsimonious explanation for complex synaptic plasticity phenomena.