Courses/Amath 342
Neurons are modeled by cutting into super small sections, then bodies are colored on each frame. These frames are put back together, laying the body onto itself, creating a 3d model of a neuron (or other body) These are now done with AI
Simulation as a model for testing functional hypothesis Assumptions for our initial simulation Synapse strength: drawn from log-normal distributions Dale’s Law: All output synapses from one neurons are either excitatory or inhibitory I/E balance: Assume neurons have a similar input balance of I vs E Unobserved connections: drawn from an Erdos-Renyi network (ignore Peter’s rule)
Inhibitory/Excitatory balance I/E ratio: about 10% Synapse size is correlated with physiological strength