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Alzheimer’s pathogenesis: is there neuron-to-neuron propagation?
Acta Neuropathologica, 2011There is increasing interest in the early phase of Alzheimer's disease before severe neuronal dysfunction occurs, but it is still not known when or where in the central nervous system the underlying pathological process begins. In this review, we discuss the idea of possible disease progression from the locus coeruleus to the transentorhinal region of ...
Heiko Braak, Kelly Del Tredici
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The neuron doctrine is an insult to neurons
Behavioral and Brain Sciences, 1999As presently implemented, the neuron doctrine (ND) portrays the brain's neurons and chemical synapses as fundamental components in a computer-like switching circuit, supporting a view of brain = mind = computer. However, close examination reveals individual neurons to be far more complex than simple switches, with enormous capacity for ...
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Neuronal Targeting in Diabetes Mellitus: A Story of Sensory Neurons and Motor Neurons
The Neuroscientist, 2008Diabetes mellitus targets the peripheral nervous system in unique but disabling ways. Although several mechanisms may target peripheral neurons, they render a degenerative pattern of damage that begins in distal terminals. Moreover, sensory neurons are involved early, motor neurons later.
Cory Toth+2 more
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Neuronal Communication: Cooperativity of unreliable neurons
Current Biology, 1994Recent studies show that many presynaptic neurons must cooperate to generate a postsynaptic output, though the number is still just a tiny fraction of all the postsynaptic cell's inputs.
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Neurons and Neuronal Signal Propagation
2002The human brain contains approximately 1012 to 1013 cells. About 1011 cells out of this pool can be classified as nerve cells or neurons. Although representing only 2–10 % of all brain cells, it is widely accepted that the neurons and their mutual synaptic connections form the anatomical subsfrate for die powerful computational abilities of the brain ...
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P-neuron: a neuron with a center
[Proceedings] 1991 IEEE International Joint Conference on Neural Networks, 1991A neuron widely used for learning is based on an inner product of a weight vector and an input vector and a threshold function, which represents a step-like surface in a hyperspace. The proposed neuron decides the position and sharpness of the step by three parameters: the normal vector, the center position vector, and the sharpness.
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More hippocampal neurons in adult mice living in an enriched environment
Nature, 1997G. Kempermann, H. Kuhn, F. Gage
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Which model to use for cortical spiking neurons?
IEEE Transactions on Neural Networks, 2004E. Izhikevich
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