DocumentCode :
285160
Title :
Biological learning with cytoskeletal signaling
Author :
Dayhoff, Judith E. ; Hameroff, Stuart R. ; Swenberg, Charles E. ; Lahoz-Beltra, Rafael ; Samsonovich, Alexi
Author_Institution :
Syst. Res. Center, Maryland Univ., College Park, MD, USA
Volume :
2
fYear :
1992
fDate :
7-11 Jun 1992
Firstpage :
45
Abstract :
Cytoskeletal signaling provides a medium for internal neuronal signaling that could play a key role in biological learning. Signaling within a neuron along microtubules is plausible according to a number of theoretical models and experimental observations. If used by biological neurons, this type of signaling would provide the missing link for the biological implementation of many learning models, including back-error propagation. Back-error propagation is widely used and demonstration of its plausibility allows uniting artificial learning models with realistic neural models. Additional learning models can be modeled with biologically plausible mechanisms that involve internal cytoskeletal signaling, such as the sigma-pi architecture. Biologically plausible implementations of these learning models are described
Keywords :
learning systems; neural nets; back-error propagation; biological learning; cytoskeletal signaling; internal neuronal signaling; learning models; sigma-pi architecture; Artificial neural networks; Biological system modeling; Biological systems; Biology; Educational institutions; Nerve fibers; Neurofeedback; Neurons; Proteins; Subspace constraints;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-0559-0
Type :
conf
DOI :
10.1109/IJCNN.1992.226986
Filename :
226986
Link To Document :
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