A Hebbian feedback covariance learning paradigm for self-tuning optimal control

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 31, Issue 2, 2001, Pages 173-186

  Young, Daniel L ^a,b,c   Poon, Chi Sang ^a,b  

^a IEEE   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c Massachusetts Institute of Technology Cambridge   (United States)

Author keywords

Adaptive optimal control; Feedback covariance adaptation; Hebbian learning; Intelligent control; Self tuning optimal control; Synaptic plasticity

Indexed keywords

FEEDBACK COVARIANCE ADAPTATION; HEBBIAN LEARNING; SYNAPTIC PLASTICITY;

COMPUTER SIMULATION; INTELLIGENT CONTROL; LEARNING SYSTEMS; LYAPUNOV METHODS; SELF TUNING CONTROL SYSTEMS;

OPTIMAL CONTROL SYSTEMS;

EID: 0035308471     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/3477.915341     Document Type: Article

References (48)

1. Optimality theory in evolutionary biology
2. Dual adaptive control of nonlinear stochastic systems using neural networks
3. Cellular analysis of associative learning
4. Hebbian synapses in hippocampus
5. Hebbian learning in parallel and modular memories
6. Associative long-term depression in the hippocampus induced by Hebbian covariance
7. Adaptive neural network that subserves optimal homeostatic control of breathing
8. Self-tuning optimal regulation of respiratory motor output by Hebbian covariance learning
9. A synaptic model of memory: Long-term potentiation in the hippocampus
10. A cellular analogue of visual cortical plasticity
11. Reverse-hebb plasticity leads to optimization and association in a simulated visual cortex
12. Synaptic plasticity in the cerebellar cortex and its role in motor learning
13. From basic network principles to neural architecture: Emergence of orientation columns
14. Quadrature and the development of orientation selective cortical cells by hebb rules
15. Hebbian synapses: Biological mechanisms and algorithms
16. Synaptic plasticity and respiratory control
17. Long-term synaptic potentiation
18. Statistical constraints on synaptic plasticity
19. Storing covariance with nonlinearly interacting neurons
20. LTD, LTP, and sliding threshold for long-term synaptic plasticity
21. Hebbian depression of isolated neuromuscular synapses in vitro
22. Plasticity in auditory cortical circuitry
23. Numerical identification of linear dynamic systems from normal operating records
24. Theory for the development of neuron selectivity: Orientation specificity and binocular interaction in visual cortex
25. Reinforcement learning and adaptive critic methods
26. Multivariable continuous-time generalized predictive control: A state-space approach to linear and nonlinear systems
27. Properties of generalized predictive control
28. Continuous-time generalized predictive control (CGPC)
29. A computational model of four regions of the cerebellum based on feedback-error learning
30. The neural basis of learning of simple motor skills
31. Model reference adaptive control modeling of motor learning
32. Temporal credit assignment in reinforcement learning
33. Learning with delayed rewards
34. Phasic and long-term depression in brainstem nucleus tractus solitarius neurons: Differing roles of AMPA receptor desensitization
35. Biophysical model of a Hebbian synapse
36. A miniature mechanical ventilator for newborn mice
37. NMDA receptor activity in utero averts respiratory depression and anomalous LTD in newborn mice
38. Optimization behavior of brainstem respiratory neurons: A cerebral neural network model