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We use a spiking neural network to predict the finger velocity of a monkey during a random target-reaching task using recorded neural activity from the primary motor cortex.
We implemented the Gray Scott mathematical model of reaction-diffusion into an arduino simulation to show the result on a simulated 16x16 LED board.
