Title :
Information storage mechanism of the biological neural network
Author :
Weichang, Chen ; Zhiyi, Chen ; Gangda, Yin
Author_Institution :
Dept. of Biophys., China Japan Friendship Inst. of Med. Sci., Beijing, China
Abstract :
The information storage mechanism of the biological neural network is the most important problem in neuroscience. Our observations showed that the structure of the hippocampus, the core memory of the brain, is very similar to the Hopfield´s neural network. An electronic neuronic model was constructed to simulate the dynamic process of the hippocampal LTP process. The kinetic process of the post synaptic potentials and the synaptic-synaptic interaction equations were also discussed. We proposed a dual coding theory of biological neural information and assumed that the messy fiber synaptic glomerulus may be the chief storage medium of the neural information. A geometrical mapping of N dimensional unitron was constructed to analyse the distribution of the computation energy and to trace the dynamic loci in memory retrieve process.
Keywords :
Hopfield neural nets; brain models; dual codes; neurophysiology; Hopfield neural network; biological neural network; brain; computation energy distribution; core memory; dual coding theory; dynamic loci; electronic neuronic model; geometrical mapping; hippocampal LTP process; hippocampus; information storage mechanism; memory retrieval process; mossy fiber synaptic glomerulus; multidimensional unitron; neuroscience; post synaptic potentials; synaptic-synaptic interaction equations; Biological neural networks; Biological system modeling; Brain modeling; Codes; Equations; Hippocampus; Hopfield neural networks; Kinetic theory; Neuroscience; Optical fiber theory;
Conference_Titel :
Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on
Print_ISBN :
0-7803-1421-2
DOI :
10.1109/IJCNN.1993.713851