论文信息 - An Attractor Network Model for the Generation of Event-Related Potentials Using Integrative Synapses

An Attractor Network Model for the Generation of Event-Related Potentials Using Integrative Synapses

In this paper the generation of components of Event-Related Potentials (ERP) is achieved using a neural network model which activates synapses possessing integrative properties, acting on a target neural assembly. The summation of low frequency current sources created by the synaptic action produces an electric field detectable on the head surface as an ERP component. The behavior of the model is examined through simulations checking the network’s temporal spiking rates and the low-pass filtering properties of the integrative synapses.

[1] B. L. Ginsborg. THE PHYSIOLOGY OF SYNAPSES , 1964 .

[2] M. Coles,et al. Handbook of cognitive psychophysiology : central and autonomic nervous system approaches , 1991 .

[3] E. Donchin,et al. Psychophysiology : systems, processes, and applications , 1987 .

[4] P. Brodal. The Central Nervous System , 1992 .

[5] E. W. Kairiss,et al. Hebbian synapses: biophysical mechanisms and algorithms. , 1990, Annual review of neuroscience.

[6] R. Harris-Warrick,et al. Modulation of neural networks for behavior. , 1991, Annual review of neuroscience.

[7] R. Sternbach,et al. Principles of Psychophysiology , 1966 .

[8] C. Stefanis,et al. Inversion of simulated evoked potentials to charge distribution inside the human brain using an algebraic reconstruction technique. , 1991, IEEE transactions on medical imaging.

[9] A. G. Brown. Nerve Cells and Nervous Systems: An Introduction to Neuroscience , 1991 .

[10] J Debecker,et al. Wave form and neural mechanism of the decision P350 elicited without pre-stimulus CNV or readiness potential in random sequences of near-threshold auditory clicks and finger stimuli. , 1979, Electroencephalography and clinical neurophysiology.