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35-2 The Nervous System
35-2 The Nervous System

... The part of the brain that is responsible for coordination and balance is the a. cerebellum. b. cerebrum. c. brain stem. d. thalamus. ...
Voltage-Gated Ion Channels and the Propagation of Action
Voltage-Gated Ion Channels and the Propagation of Action

Exposure to excess glucocorticoids alters dendritic
Exposure to excess glucocorticoids alters dendritic

... 100-/~m-thick section with C O R T treatment. The fact that we observed no differences in cross-sectional cell body area supports the notion that the cells selected for quantitative analysis in this study were representative of the same neuronal population between treatment groups. The changes in de ...
Internal structure of spinal cord
Internal structure of spinal cord

... lemniscus, then to the ipsilateral primary somesthetic cortex (be aware the medial lemniscus turns 90, then lower body information is on the lateral side now) . ...
electrophysiological studies of rat substantia nigra neurons in an in
electrophysiological studies of rat substantia nigra neurons in an in

... current pulse (e.g., 0.6 nA) with relatively long duration (e.g., 450 ms) induced a spike accommodation with a marked decrease in the inter-spike interval (Fig. 3A). The membrane response after termination of a large current pulse was followed by an AHP with a relatively large amplitude (range: 10.5 ...
Imaging Brain Slices
Imaging Brain Slices

... by experimental manipulations such as drug applications, intracellular recordings, and optical imaging, they preserve many of the essential functional properties of these circuits. In this chapter, we describe techniques of live brain-slice imaging used in our laboratory. We cover in detail experime ...
V1 mechanisms underlying chromatic contrast detection
V1 mechanisms underlying chromatic contrast detection

... (1993) cone fundamentals. For 69 neurons, stimuli were based on the 2° fundamentals, and for 27 neurons, stimuli were based on the 10° fundamentals. Results from these two sets of experiments were similar and thus have been pooled together in this report. Most importantly, the main conclusion of thi ...
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Supplementary Information (doc 2155K)
Supplementary Information (doc 2155K)

... Given our aims, we adopted a standard a priori seed-based approach to quantifying intrinsic functional connectivity12-14, 22-24. Seed regions are described below. For each subject, we performed a voxelwise correlation between the artifact-attenuated EPI time-series, averaged across the voxels defini ...
The effect of learning on the face selective responses of neurons in
The effect of learning on the face selective responses of neurons in

... occur in a population of neurons when that population stores new information. In this study, we investigated whether individual neurons in this region alter the degree to which they respond to different stimuli when the set of stimuli starts as novel and is repeated until it becomes familiar. This m ...
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A biologically constrained learning mechanism in networks of formal

... Starting from an initial synaptic matrix with random elements (synaptic strengths), which produces a very large number of stable memorized states (called prerepresentations), we show that the effect of the learning procedure is a sequence of modifications of the initial synaptic matrix, which stores ...
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Functions of the Nervous System 1. Sensory input 2. Integration 3

... • Increase speed of nerve impulse transmission ...
sympathetic division
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The cerebellum chip: an analog VLSI implementation of a

... We implemented an analog VLSI version of the cerebellar model using a standard 1.6µm CMOS technology, and occupying an area of approximately 0.25 mm2. A block diagram of the hardware model is shown in Figure 1. The CS block receives the conditioned stimulus and generates two signals: an analog long- ...
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... response to TSC1/2 loss in neurons, we used Translating Ribosomal Affinity Purification (TRAP) methodology, which provides better temporal resolution and cell type specificity than conventional gene expression profiling (Heiman et al., 2008, 2014). In this study, we introduced the transgene L10a in ...
KCNQ/M Channels Control Spike Afterdepolarization and Burst
KCNQ/M Channels Control Spike Afterdepolarization and Burst

Information About Spatial View in an Ensemble of Primate
Information About Spatial View in an Ensemble of Primate

... visual cortex (Rolls et al. 1997c) and the orbitofrontal olfactory cortex (Rolls et al. 1996). Of particular interest also was how the information increases as more cells are added to the ensemble. An attractive property of distributed encoding is that the information available from an ensemble can ...
Cell Bio 5- SDL Spinal Reflexes Circuits A neuron never works
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... These neurons are organized into circuits – Local circuits • Spinal reflex circuits are a type of local circuit Local circuits generally have three elements 1. Input • The main input to the spinal cord is through afferent sensory axons in the dorsal root • Sensory signals travel to two destinations ...
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... Morphologies of individual forebrain cholinergic neurons A series of 4HT titration experiments with Chat-IRES-CreER;R26IAP mice showed that intraperitoneal (IP) injection of 1–5 µg 4HT at P4-5 resulted in ∼10 forebrain cholinergic neurons labeled per brain. Using this protocol, 67 well-separated for ...
Self-images in the video monitor coded by monkey intraparietal
Self-images in the video monitor coded by monkey intraparietal

... neurons also represent mental (or introspective) processes to create and sustain ‘subjective’ body-image in the brain, not only when it is visible but also when it is invisible and creating such an image only in the brain. Thus, among other brain areas which contain neurons representing similar bimo ...
Molecular Mechanisms of Appetite Regulation
Molecular Mechanisms of Appetite Regulation

... problem in developed countries. The brain, especially the hypothalamus, plays a key role in the control of food intake by sensing metabolic signals from peripheral organs and modulating feeding behaviors. To accomplish these important roles, the hypothalamus communicates with other brain areas such ...
Jumpin` the Gap - Teach Genetics (Utah)
Jumpin` the Gap - Teach Genetics (Utah)

... molecules which form a variety of specialized structures that carry out such cell functions as energy production, transport of molecules, waste disposal, synthesis of new molecules, and the storage of genetic material. • The Behavior of Organisms » Multicellular animals have nervous systems that gen ...
Coding of movement
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... Scope of the model To properly ascertain the contribution of neural activities to movement control, it is necessary to consider neural and movement data simultaneously. An appropriate animal (monkey) model of this situation is obtained using a mechanical exoskeleton that puts constraints on the degr ...
The role of neuronal signaling in controlling cerebral blood flow
The role of neuronal signaling in controlling cerebral blood flow

... E-mail address: [email protected] (C.T. Drake). ...
basal ganglia
basal ganglia

... On striatal medium spiny neurons of origin of the direct pathway. dopamine binds receptors D1-type, while on those of origin of the indirect pathway binds receptors D2-type. Activation of receptor D1-type induces an increase of cAMP, whereas the activation of receptor D2-type produces a decrease of ...
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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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