Abstract
Frontiers Events is a rapidly growing calendar management system dedicated to the scheduling of academic events. This includes announcements and invitations, participant listings and search functionality, abstract handling and publication, related events and post-event exchanges. Whether an organizer or participant, make your event a Frontiers Event!
Highlights
The statistical fluctuations may be studied by varying the seed of the
Figures show the best result from 50 optimizations using a genetic algorithm
Blue: Target variability; Green: Best results from genetic algorithm using cost function scaled by target value; Red: Best results using cost function scaled by experimental error
Summary
– due to statistical fluctuations in network structure strategy which converges quickly to the minimum. – high-dimensional parameter space pseudorandom number generator used to construct the network. – To what extent can network parameters be determined by fitting the population statistics of neural activity?. – What’s the precision of the fit result? – How important are individual parameters for the functional performance of the model?. We employ roulette wheel selection with linear ranking and crossover mating. The mutation probability is 0.01 per bit and the selective pressure is 2.0. ◮ Results from repeated searches using different initial generation:. Balanced Random Network Model θ, τm mensionless. £ ¤ (p: parameter vector, si(p): measured state, ti: target state, ∆ti: standard deviation of target state.). Figures show the best result from 50 optimizations using a genetic algorithm
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