Title :
Hippocampus function modeling with neural network
Author :
Zhao, Wang-Xiong ; Qiao, Qing-Li ; Wang, Dan
Author_Institution :
Dept. of Biomed. Eng., Tianjin Med. Univ., Tianjin, China
Abstract :
The hippocampus and associative structures are the highest integrative centers in the brain and are known to play a critical role in memory function. To understand how the memory is formed, retrieved and how to reach conscious awareness requires the development of detailed models of hippocampus function and is helpful to study pathogenesis of some brain diseases relating with memory such as Alzheimer and Parkinson. In this paper, the detailed model of hippo-campus function is developed. This hippocampus functional model has a Hopfield-like neural network and is used 160 Izhikevich artificial neurons model as its spiking neurons. The simulation of this network under MATLAB platform shows that the network model can implement autoassociative and heteroassociative memory. The model is useful to understand two kinds of hippocampus memory functions.
Keywords :
Hopfield neural nets; brain models; Hopfield-like neural network; Izhikevich artificial neurons model; autoassociative memory; brain; heteroassociative memory; hippocampus function modeling; Alzheimer´s disease; Artificial neural networks; Biological neural networks; Brain modeling; Hippocampus; Mathematical model; Neural networks; Neurons; Parkinson´s disease; Pathogens; autoassociative memory; heteroassociative memory; hippocampus function; neural network;
Conference_Titel :
IT in Medicine & Education, 2009. ITIME '09. IEEE International Symposium on
Conference_Location :
Jinan
Print_ISBN :
978-1-4244-3928-7
Electronic_ISBN :
978-1-4244-3930-0
DOI :
10.1109/ITIME.2009.5236247
