BrainGrid Simulation Results: Growth and STDP

Result files from the BrainGrid neural network simulator. BrainGrid neural simulator was used to produce a network of 10,000 neurons arranged in a 100x100 grid layout. First. a cortical growth network was simulated and then a spike-timing-dependent plasticity (STDP) model was run to refine the network. The output files record information about the network at the end of each epoch. The serialization files store the state of the network at the end of a simulation; these files can be deserialized to recreate the network and run another simulation. The output files for the growth simulation have information about radii of connectivity of each neuron, the firing rate of each neuron, x location of a neuron on the grid, y location of a neuron on the grid, neuron ID, spike history, and spike timing and location for each spike. In addition to the outputs specified for the growth simulator above, the STDP simulation's output file also stores the neuron ID of the source and destination neuron for a synapse, and the weight of a synapse. The serial file stored the source neuron, destination neuron ID, and weight for each synapse. The description of each file is specified below:

• BG-out-growth-100x100-600e-100s: Output file for growth simulation run using the main BrainGrid repository for 10,000 neurons arranged in al 100x100 layout. The simulation was run for 600 epochs where each epoch was 100 seconds long.
• BG-serial-growth-100x100-600e-100s: Serial file for growth simulation run using the main BrainGrid repository for 10,000 neurons arranged in al 100x100 layout. The simulation was run for 600 epochs where each epoch was 100 seconds long.
• SB-out-stdp-100x100-1ep-300s: Output file for STDP simulation run using the Summer of Brain repository for 10,000 neurons arranged in al 100x100 layout. The simulation was run for 1 epoch and the epoch was 300 seconds long.