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Optimal Neural Spike Classification
Optimal Neural Spike Classification

... is created, composed of a number of spikes from the two classes at random instants, plus noise. To make the situation as realistic as possible, the added noise is taken from idle periods (i.e. non-spiking) of a real recording. The reason for using such an artificially generated signal is to be able ...
Human Biology - St Mary's College, Wallasey
Human Biology - St Mary's College, Wallasey

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Notes: Nervous System PPT 1
Notes: Nervous System PPT 1

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Neurotransmitters
Neurotransmitters

... • Sometimes there is a decrease in the number of receptors for a neurotransmitter on the postsynaptic neuron due to long-term exposure to the neurotransmitter. This is called downregulation. • Neurotransmitters can be classified into 4 major groups: 1. Amino acids (eg, glutamate, gamma-aminobutyric ...
Synapse
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Communication as an emergent metaphor for neuronal operation

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Turning neurons into a nervous system
Turning neurons into a nervous system

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Topic 8.1 Neurones and nervous responses File

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Chapter 4: The Cytology of Neurons

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Origin of Long- Term Memory - Neuromarketing Business Association

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Slide 1
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... memories. Specifically, the hippocampus has been implicated in (among other things) the encoding of facename associations, the retrieval of face-name associations, the encoding of events, the recall of personal memories in response to smells. It may also be involved in the processes by which memorie ...
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2. Nervous system anatomy

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Quiz 3 0. Give your name 2. Decision making in the honey bee
Quiz 3 0. Give your name 2. Decision making in the honey bee

... direction is initiated (Schall 2001; Shadlen & Newsome 2001; Roitman & Shadlen 2002). This arrangement of neural populations with decision thresholds lends itself to representation through a simple model, as described in §4. ...
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Sensation and Perception

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Neural Nets
Neural Nets

... History of neural networks research The Perceptron Examples Training algorithm Fundamental training theorem Two-level perceptrons ...
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Nervous system network models

Network of human nervous system comprises nodes (for example, neurons) that are connected by links (for example, synapses). The connectivity may be viewed anatomically, functionally, or electrophysiologically. These are presented in several Wikipedia articles that include Connectionism (a.k.a. Parallel Distributed Processing (PDP)), Biological neural network, Artificial neural network (a.k.a. Neural network), Computational neuroscience, as well as in several books by Ascoli, G. A. (2002), Sterratt, D., Graham, B., Gillies, A., & Willshaw, D. (2011), Gerstner, W., & Kistler, W. (2002), and Rumelhart, J. L., McClelland, J. L., and PDP Research Group (1986) among others. The focus of this article is a comprehensive view of modeling a neural network (technically neuronal network based on neuron model). Once an approach based on the perspective and connectivity is chosen, the models are developed at microscopic (ion and neuron), mesoscopic (functional or population), or macroscopic (system) levels. Computational modeling refers to models that are developed using computing tools.
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