Workflow from Scientific Research

Open access visualization of Workflow, Illustration, Line Plot, Network, Recurrent Neural Network
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Schematic of the recurrent neural network architecture. The network comprised 100 fully-connected neurons receiving a transient signal (target location) on two input channels, and two motor output channels that control linear and angular acceleration which then determined the signal received by two sensory input channels (velocity). Analogous to the function of the virtual-reality setup in our experiments that converts the joystick output into visual input, the “World” block integrates the motor output to generate subsequent velocity input. So this architecture mimics the interaction between the monkey and the virtual reality.

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