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CHip

CHip is a CUDA C implementation of the Hippocampal model presented by Professor William Levy. It will be able to handle:

  • Trace conditioning
  • Sequence recognition

The implemenation is made to be as efficient as possible, but it is an ever-evolving process.

Purpose

MATLAB simulations of the Hippocampus often take all night to run. Ideally, with accelerated, efficient GPU code the required amount of time can be reduced.

Portability

CHip requires that you have installed CUDA (nvcc) and gcc, and that you are using a newer CUDA-capable GPU (such that the --arch=sm_21 flag will be valid). You can check your GPU compatability on the NVIDIA website.

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A C implementation of a Hippocampus

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