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1- Amol University of Special Modern Technologies, Amol, Iran.
2- Iran University of Science and Technology, Tehran, Iran
Neural response is a noisy random process. The neural response to a sensory stimulus is completely equivalent to a list of the spike times in the spike train. In previous studies, decrease of neuronal response variability was observed in various areas of the cortex during motor preparatory in reaching task. The reasons of reduction in neural variability (NV) is unknown whether it could be influenced by increasing the firing rate or it might be a result of the intrinsic characteristic of cells during the reaction time (RT). For this purpose, a neural response function with an underlying deterministic instantaneous firing rate signal and a random Poisson process spike generator is simulated in this paper. Neural simulation can help us understand relationships between complex data structures of cortical activities and their stability in details during motor intention in arm-reaching tasks. The our measurements showed a similar pattern of results to cortex, a sharp reduction of normalized variance of simulated spike trains across all trials. We also reported that there is a reverse relationship between activity and normalized variance. This study could be applied to neural engineering and brain machine interfaces as a means of controlling external devices such as the movement of a robot arm.
Type of Study: Original | Subject: Computational Neuroscience
Received: 2019/05/13 | Accepted: 2019/08/14

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