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Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
Published on: March 2, 2015
Noise-induced cooperative dynamics and its control in coupled neuron models
B Hauschildt1, N B Janson, A Balanov
1Institut für Theoretische Physik, Technische Universität Berlin, Hardenbergstrasse 36, D-10623 Berlin, Germany. hauschildt@nlds.physik.tu-berlin.de
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|February 7, 2007
Summary
External noise can drive coupled neural oscillators. Delayed feedback applied to one system controls noise-induced oscillations and stochastic synchronization in neural networks.
Area of Science:
- Computational neuroscience
- Nonlinear dynamics
- Systems biology
Background:
- Neural oscillators exhibit complex cooperative dynamics.
- External noise can induce oscillations in non-oscillating systems.
- Feedback control is crucial for understanding neural network behavior.
Purpose of the Study:
- To investigate feedback control of noise-induced cooperative dynamics in coupled neural oscillators.
- To determine the effects of delayed feedback on coherence and synchronization.
- To explore the influence of external noise on neural system dynamics.
Main Methods:
- Modeling coupled neural oscillators using FitzHugh-Nagumo systems.
- Applying external random fluctuations to individual units.
- Implementing delayed feedback control to one subsystem.
Main Results:
- Delayed feedback can alter coherence and timescales of noise-induced oscillations.
- Feedback control can globally influence the dynamics of coupled systems.
- Stochastic synchronization can be induced or suppressed by feedback control.
Conclusions:
- External noise and feedback control offer a mechanism to manipulate neural network dynamics.
- Delayed feedback provides a powerful tool for controlling cooperative behavior in noisy neural systems.
- This study highlights the potential for targeted feedback in understanding and influencing neural network function.
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