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Autonomous State Inference for Data-Driven Optimization of Neural Modulation.
Eric R. Cole
Mark J. Connolly
Sang-Eon Park
Dayton P. Grogan
William Buxton
Thomas E. Eggers
Nealen G. Laxpati
Robert E. Gross
Published in:
NER (2021)
Keyphrases
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data driven
neural network
cooperative
optimization algorithm
optimization problems
real time
bayesian networks
computer simulation
bayesian inference
optimization process
constrained optimization
network architecture
case study
database systems
state space
autonomous learning