Login to filter by course Login to filter by course Reset
Discusses three definitions of rate code in computational neuroscience, emphasizing temporal averaging, interspike intervals, and FANO factor.
Explores escape noise in computational neuroscience, covering stochastic intensity, interspike intervals, likelihood functions, noise model comparison, and rate versus temporal codes.
Explores the variability of spike trains in computational neuroscience, covering experiments, sources of variability, and stochastic spike arrival and firing.
Explores the Poisson model in computational neuroscience, emphasizing rate coding and stochastic spiking.
Compares rate codes and temporal codes in neural dynamics, emphasizing timing codes, stochastic resonance, and neural coding challenges.
