Title :
Dynamic model-based controller in the brain
Author :
Schwaber, J.S. ; Graves, E.B. ; Paton, J.F.R. ; Spyer, K.M. ; Rogers, W.T.
Author_Institution :
E.I. DuPont Co., Wilmington, DE, USA
Abstract :
The authors present a model of the neuronal network that performs adaptive control of the vertebrate cardiovascular system. The model incorporates new data on the cell groups and connections of the circuit, on the synaptic activity and discharge properties of cardiovascular neurons in the brainstem, and on the modulation of their excitability by nonsynaptic intrinsic membrane properties. Some of these data have been represented in a computational model, thus allowing simulations to generate hypotheses regarding design principles of the control system
Keywords :
adaptive control; biocontrol; biomembranes; brain models; cardiology; neural nets; adaptive control; brain; cardiovascular neurons; cell groups; computational model; connections; discharge properties; model; neuronal network; nonsynaptic intrinsic membrane properties; synaptic activity; vertebrate cardiovascular system; Adaptive control; Biological neural networks; Biomembranes; Brain modeling; Cardiology; Cardiovascular system; Circuit simulation; Computational modeling; Control system synthesis; Neurons;
Conference_Titel :
Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-0164-1
DOI :
10.1109/IJCNN.1991.155410
