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05:19
Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments
Published on: November 12, 2019
Synchronized dynamics of cortical neurons with time-delay feedback
Alexandra S Landsman1, Ira B Schwartz
1US Naval Research Laboratory, Code 6792, Nonlinear Systems Dynamics Section, Plasma Physics Division, Washington, DC 20375, USA. alandsma@cantor.nrl.navy.mil.
Nonlinear Biomedical Physics
|October 3, 2007
Summary
This study reveals how time delays in coupled cortical neurons affect synchronization. Faster synapses enhance neural synchronization, crucial for coordinating distant brain cells.
Area of Science:
- Computational Neuroscience
- Systems Neuroscience
- Neural Dynamics
Background:
- Cortical neurons exhibit complex dynamics influenced by coupling and time delays.
- Understanding neural synchronization is key to deciphering information processing in the brain.
- Modeling signal relay between cortical areas requires accounting for directional coupling and delays.
Purpose of the Study:
- To investigate the impact of time delays on the synchronization of three mutually coupled cortical neurons.
- To analyze the role of synaptic properties and coupling architecture in neural network dynamics.
- To explore mechanisms stabilizing synchronous states in spatially distributed neuronal populations.
Main Methods:
- Numerical simulations of a three-neuron network model.
- Analytical investigation of neuron dynamics under varying coupling parameters and time delays.
- Exploration of the influence of synaptic time constants on firing rates and synchronization.
Main Results:
- Time delays induce correlations and establish a leading-lagging relationship between neurons.
- Outer neurons synchronize with zero lag, while the middle neuron leads by the delay time.
- Synchronization degree and firing rate are significantly enhanced by faster synaptic time constants.
Conclusions:
- Synaptic input during the inter-spike interval stabilizes synchronous states, irrespective of coupling strength or initial phase.
- The findings are significant for understanding synchronization in large, spatially separated cortical cell groups.
- This model provides insights into neural signal relay and coordinated activity in the cortex.
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