objective:
using synaptic plasticity, design a training procedure that finds the appropriate delay configuration X from an initial delay configuration (which will represent what delays are like at birth)
prerequisites:
proof that, with some specific delay configuration X, the network maximizes some performance measure.
stated differently, we need a specific delay configuration that maximizes some performance measure. so, we'll need to know:
[ ] how is plasticity implemented (structurally, in the code) in a nest simulation? #29
[ ] which populations could be responsible for plasticity?
[ ] what is the performance measure for "a network that responds maximally to tones coming from a specific angle"?
[ ] what is a possible delay configuration that optimizes it? (aka, can the solution be found?)
pollomarzo
commented
2 months ago
objective: using synaptic plasticity, design a training procedure that finds the appropriate delay configuration X from an initial delay configuration (which will represent what delays are like at birth)
prerequisites: proof that, with some specific delay configuration X, the network maximizes some performance measure. stated differently, we need a specific delay configuration that maximizes some performance measure. so, we'll need to know: