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Modulation of synchrony without changes in firing rates
Jakob Heinzle1, Peter König, Rodrigo F Salazar
1Institute of Neuroinformatics, University & ETH Zürich, Winterthurerstrasse 190, 8057, Zürich, Switzerland, jakob@ini.phys.ethz.ch.
Cognitive Neurodynamics
|November 13, 2008
Summary
Neuronal synchronization can be modulated independently of firing rate by adjusting synaptic weights. This finding suggests distinct coding dimensions for neural information processing.
Area of Science:
- Computational Neuroscience
- Systems Neuroscience
Background:
- Spike synchronization is a proposed neural coding mechanism.
- Theoretical validation of independent modulation of synchrony and firing rate is limited.
Purpose of the Study:
- To investigate if synaptic weight changes can independently modulate neuronal synchrony without altering firing rate.
- To explore this mechanism in both single neurons and neuronal populations.
Main Methods:
- Network simulations using conductance-based integrate-and-fire neurons.
- A single-layer network with local and long-range excitatory/inhibitory connections.
- External uncorrelated Poisson spike trains as input.
Main Results:
- Increased external input linearly increased network activity and oscillation frequency.
- Balanced changes in excitatory synaptic weights modulated synchrony independently of firing rate.
- Demonstrated independent modulation in a simulated neural network.
Conclusions:
- Neuronal synchrony and firing rate can be independently modulated.
- These distinct coding dimensions may be utilized for neural information processing.
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