Neural Spike Suppression by Adaptive Control of an Unknown Steady State.
Arünas TamaseviciusElena TamaseviciuteGytis MykolaitisSkaidra BumelieneRaimundas KirvaitisRuedi StoopPublished in: ICANN (1) (2009)
Keyphrases
- steady state
- adaptive control
- spike trains
- markov chain
- control method
- spiking neurons
- operating conditions
- control problems
- network architecture
- queue length
- state dependent
- neuronal networks
- product form
- arrival rate
- variable structure
- reinforcement learning
- neural model
- queueing networks
- control law
- neural network
- dynamic environments
- explicit expressions
- steady states
- heavy traffic
- nonlinear model predictive control
- control algorithm
- service times
- chaotic systems
- queueing model
- pid controller
- dynamic programming
- single neuron