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Human frequency-following response: representation of pitch
Human frequency-following response: representation of pitch

... Evans, 1978; Moore, 1989). Energy may or may not be present at the fundamental frequency. In contrast, place or spectral pitch is associated with individual fre* Corresponding author. Tel.: +1 (765) 494-3793; Fax: +1 (765) 494-0771. E-mail address: [email protected] (A. Krishnan). ...
GAP-43 Expression in Primary Sensory Neurons following Central
GAP-43 Expression in Primary Sensory Neurons following Central

... 0 1994 Society for Neuroscience 0270-6474/94/144375-10$05.00/O ...
Words in the Brain`s Language
Words in the Brain`s Language

... those contributing to the representation of, say, an odor. Accordingly, the representation of a word would not be restricted to a small cortical locus, but would be distributed over well-defined areas, for example over Broca's, Wernicke's, and some other areas. The Hebbian model was based on three f ...
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muscle spindle - KIN450

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Caudo‐rostral brain spreading of α‐synuclein through vagal

... et al, 2012) and propagation via interconnected brain pathways (Braak et al, 2003a; Luk et al, 2012a; Luk et al, 2012b). The reason(s) that underlie the involvement of MO neurons in the early stages of a‐syn accumulation are not fully understood. It has been hypothesized, however, that pathogenic fo ...
PDF - WordPress @ Clark U
PDF - WordPress @ Clark U

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electrophysiological and synaptic properties of rat superior and

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Monkey Models of Recovery of Voluntary Hand

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Amygdala oscillations and the consolidation of

... they are embedded. Rhythms of various frequencies occur in different brain regions and these oscillations change depending on the behavioral state [2,3]. The importance of these oscillations derives from the fact that neuronal events underlying cognitive activity, from sensory perception to memory, ...
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... separating important features of mixed deep electrical sources. In theory, if we assume that brain electrical sources are spatially stationary (i.e., immobile), then their best extraction from LFPs should be obtained within the ICA framework. Apart from propagating spikes whose contribution to LFPs ...
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Theta rhythm and the encoding and retrieval of space and time ⁎ Michael E. Hasselmo , Chantal E. Stern

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Central neural control of the cardiovascular system
Central neural control of the cardiovascular system

... wide variety of peripheral receptors and 2) feedforward control, or “central command,” from descending inputs arising from higher centers in the brain (Fig. 1). One of the most important cardiovascular reflexes is the baroreceptor reflex, and an example of its operation is shown in Fig. 2A. In this ...
Lesser
Lesser

... mouths. The fractured structure of the touch maps in the cerebellum supported the idea that the region was somehow comparing the sensory data coming from the multiple body parts used by each animal to explore its world. These maps seemed to be organized according to the use of the body parts rather ...
HCN channels are a novel therapeutic target for cognitive
HCN channels are a novel therapeutic target for cognitive

... performing the water maze task, the mice were handled for a week. For initial characterization of Nf19a–/9a–mice, training consisted of 4 trials per day, divided in two sessions of two trials with a 1 h interval (Figure 1) or two trials per day for LTG-treated mice. At the start of the first session ...
Long thought to be solely the BRAIN`S COORDINATOR of body
Long thought to be solely the BRAIN`S COORDINATOR of body

... mouths. The fractured structure of the touch maps in the cerebellum supported the idea that the region was somehow comparing the sensory data coming from the multiple body parts used by each animal to explore its world. These maps seemed to be organized according to the use of the body parts rather ...
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... Kalcheim and Teillet, 1989; Stern and Keynes, 1987). Although previous work implicated Eph/ephrin and neuropilin 1/semaphorin 3A (Nrp1/Sema3A) in somite to neural crest signaling (Eickholt et al., 1999; Krull et al., 1997; Wang et al., 1998), mouse knockouts of these molecules failed to exhibit segm ...
Excitatory and Inhibitory Vestibular Pathways to the Extraocular
Excitatory and Inhibitory Vestibular Pathways to the Extraocular

... of 1.3–1.7 ms in which equilibrium potentials were slightly more negative than resting potentials. The inhibitory postsynaptic potentials (IPSPs) reversed with large amplitudes after the injection of chloride ions suggesting a proximal soma-dendritic location of terminals exhibiting high efficacy in ...
Superior Colliculus and Visual Spatial Attention
Superior Colliculus and Visual Spatial Attention

... attention. We then consider several candidate circuits that could mediate this role, illustrating that key components of the brain mechanisms of attention may lie outside the scope of current models. ...
Human Physiology - Maryville University
Human Physiology - Maryville University

... to ability of axon to conduct current Axon cable properties are poor because: Cytoplasm has high resistance Though resistance decreases as axon diameter increases Current leaks out through ion channels ...
Slide 7.3b
Slide 7.3b

...  If the action potential (nerve impulse) starts, it is propagated over the entire axon  Potassium ions rush out of the neuron after sodium ions rush in, which repolarizes the membrane  The sodium-potassium pump restores the original configuration  This action requires ATP Copyright © 2003 Pearso ...
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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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