Therapeutic applications of computer models of brain activity for Alzheimer disease.

Neural models of large-scale brain processes help to explain many features of neuropsychological syndromes and psychiatric disease. Two associative memory models useful to understand some aspects of cognitive impairments in Alzheimer disease are discussed. The first model is based on the synaptic deletion and compensation while the second on the synaptic runaway phenomenon. The models seem to be complementary, explaining different types of Alzheimer disease. They allow to draw several therapeutic suggestions that may help to slow down the development of the disease in its early stages.

[1]  Paolo Del Giudice,et al.  Neurophysiology of a VLSI spiking neural network: LANN21 , 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

[2]  Christopher J. Bishop,et al.  Pulsed Neural Networks , 1998 .

[3]  Włodzisław Duch,et al.  Platonic model of mind as an approximation to neurodynamics , 1998 .

[4]  M. Hasselmo,et al.  A computational model of the progression of Alzheimer's disease. , 1997, M.D. computing : computers in medical practice.

[5]  J. Murre.  Implicit and explicit memory in amnesia: some explanations and predictions by the TraceLink model. , 1997, Memory.

[6]  Nicolas Brunel,et al.  Dynamics of a recurrent network of spiking neurons before and following learning , 1997 .

[7]  R. Berndt,et al.  Neural Modeling of Brain and Cognitive Disorders , 1996 .

[8]  Eytan Ruppin,et al.  COMPUTATIONAL STUDIES OF SYNAPTIC ALTERATIONS IN ALZHEIMER'S DISEASE , 1996 .

[9]  J. Reggia,et al.  Modeling Post-Stroke Cortical Map Reorganization , 1996 .

[10]  M. Spitzer.  PHANTOM LIMBS, SELF-ORGANIZING FEATURE MAPS, AND NOISE-DRIVEN NEUROPLASTICITY , 1996 .

[11]  Eytan Ruppin,et al.  Neuronal-Based Synaptic Compensation: A Computational Study in Alzheimer's Disease , 1996, Neural Computation.

[12]  J. Murre.  TraceLink: A model of amnesia and consolidation of memory , 1996, Hippocampus.

[13]  G. Gerstein,et al.  Networks with lateral connectivity. I. dynamic properties mediated by the balance of intrinsic excitation and inhibition. , 1996, Journal of neurophysiology.

[14]  James L. McClelland,et al.  Why there are complementary learning systems in the hippocampus and neocortex: insights from the successes and failures of connectionist models of learning and memory. , 1995, Psychological review.

[15]  Sean A. Spence,et al.  Descartes' Error: Emotion, Reason and the Human Brain , 1995 .

[16]  J A Reggia,et al.  A Neural Model of Memory Impairment in Di(cid:11)use Cerebral Atrophy , 2004 .

[17]  G. Kane.  Parallel Distributed Processing: Explorations in the Microstructure of Cognition, vol 1: Foundations, vol 2: Psychological and Biological Models , 1994 .

[18]  Enoch Callaway,et al.  Drugs and Human Information Processing , 1994, Neuropsychopharmacology.

[19]  Michael E. Hasselmo,et al.  Runaway synaptic modification in models of cortex: Implications for Alzheimer's disease , 1994, Neural Networks.

[20]  Marius Usher,et al.  Neural Network Modeling of Memory Deterioration in Alzheimer's Disease , 1993, Neural Computation.