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Full-Text Articles in Neuroscience and Neurobiology
Artificial Dendritic Neuron: A Model Of Computation And Learning Algorithm, Zachary Hutchinson
Artificial Dendritic Neuron: A Model Of Computation And Learning Algorithm, Zachary Hutchinson
Electronic Theses and Dissertations
Dendrites are root-like extensions from the neuron cell body and have long been thought to serve as the predominant input structures of neurons. Since the early twentieth century, neuroscience research has attempted to define the dendrite’s contribution to neural computation and signal integration. This body of experimental and modeling research strongly indicates that dendrites are not just input structures but are crucial to neural processing. Dendritic processing consists of both active and passive elements that utilize the spatial, electrical and connective properties of the dendritic tree.
This work presents a neuron model based around the structure and properties of dendrites. …
Collaborative Research: A Dynamic Atlas Of The Cricket Cercal Sensory System, Sharon M. Crook
Collaborative Research: A Dynamic Atlas Of The Cricket Cercal Sensory System, Sharon M. Crook
University of Maine Office of Research Administration: Grant Reports
A fundamental question in neuroscience is how natural sensory stimuli are encoded for information handling by the brain. Invertebrate animals often offer systems that are in some ways simpler than those of mammals, and including such features as identifiable single cells in networks of relatively few numbers. This collaborative project exploits a sensory system called the cercal system of the cricket, in which small appendages on the rear of the body contain fine hairs that are used to detect, identify and localize behaviorally relevant air current movements, such as those produced by a predator. The input from roughly 2000 receptor …