Abstract:
Single neuron activities from cortical areas of a monkey were recorded while performing
a sensory-motor task (a choice reaction time task). Quantitative trial-by-trial analysis
revealed that the timing of peak activity exhibited large variation from trial to
trial, compared to the variation in the behavioral reaction time of the task. Therefore,
we developed a multi-unit dynamic neural network model to investigate the effects
of structure of neural connections on the variation of the timing of peak activity.
Computer simulation of the model showed that, even though the units are connected
in a cascade fashion, a wide variation exists in the timing of peak activity of neurons
because of parallel organization of neural network within each unit.
Keywords:
Single Neuron - Peak Activity - Neural Model - Simulation
