Transfer entropy in continuous time, with applications to jump and neural spiking processes.
Richard E. SpinneyMikhail ProkopenkoJoseph T. LizierPublished in: CoRR (2016)
Keyphrases
- bio inspired
- markov chain
- neuron model
- spike trains
- hebbian learning
- stochastic processes
- spiking neural networks
- feed forward
- learning rules
- neural network
- spiking neurons
- biologically plausible
- single neuron
- network architecture
- markov processes
- mutual information
- information theoretic
- information theory
- hodgkin huxley
- transfer learning
- optimal control
- data sets
- neural models
- state space
- knowledge transfer
- similarity measure
- fuzzy entropy
- connectionist models
- feature selection
- genetic algorithm
- basal ganglia
- fuzzy logic