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Florence Bareyre - scientia.global
Florence Bareyre - scientia.global

... the German National Science Foundation and further supported by the wings for life spinal cord research foundation. Funding from these sources acts in much the same way as an action potential – it is the stimulus that triggers the group’s cascade of vital research activities and yields results far i ...
the manuscript as pdf
the manuscript as pdf

... awareness of self and environment. The fluctuations suggest that their limited functional capacities might be augmented if their highest functional performance level was stabilized. In some cases MCS patients fluctuate quite widely, revealing marked residual cerebral function including capacities fo ...
Autonomic Nervous System
Autonomic Nervous System

... Neuron Types by Function • sensory neurons (afferent) – send impulses toward CNS – Impulses from the skin and organs to the spinal cord and brain. – Provides information about the external and internal environments. ...
Efficient gene delivery to the adult and fetal CNS using
Efficient gene delivery to the adult and fetal CNS using

... DNA into sensitive areas of the host genome in large animals and humans.1–3 However, recent studies have also identified this risk using lentiviruses.4 Non-integrating lentiviruses (NILVs) have been developed by introducing class 1 mutations into the integrase gene, and may obviate some of these dif ...
Planar cell polarity signaling in neural development
Planar cell polarity signaling in neural development

... between two adjacent cells (a) and (b) or between growth cones and guidepost cells. They provide asymmetric (polarizing) signals via Disheveled (grey), Celsr (blue), and Fzd (green) on the one hand; and via Prickle (orange), Celsr (blue), and Vangl2 (red) on the other hand. Intracellular signals imp ...
Self-Organizing Feature Maps with Lateral Connections: Modeling
Self-Organizing Feature Maps with Lateral Connections: Modeling

... a erent (input) connections to the cortex. The self-organizing process is driven by external input [4, 20, 19], and appears to be based on correlated (i.e. cooccurring) neuronal activity and the resulting cooperation and competition between neurons [19, 18]. In addition to the a erent connections, t ...
Poulet etal - Cornell University
Poulet etal - Cornell University

... self-generated and external sensory stimuli is a fundamental problem in perception and a central question of sensory neuroscience. Philosophers and scientists over the centuries have proposed that responses to self-generated stimuli are modulated by neural signals that feedforward from motor to sens ...
Sample pages 1 PDF
Sample pages 1 PDF

... demonstrate the same capacity for learning, language, emotion and abstract thought that distinguishes the human species. Neuroscientists learned plenty about the functioning of the brain. But they admit there are aspects of brainpower that remain among humanity’s most enduring mysteries. The brain p ...
(2006) Changes in visual receptive fields with microstimulation of
(2006) Changes in visual receptive fields with microstimulation of

... responds to two distinct test stimuli presented individually at aligned and misaligned RF locations and can range from 21 (prefers the misaligned stimulus) to +1 Figure 5. Effect of FEF Microstimulation on V4 Neuronal Responses to Pairs of RF Stimuli (A) Responses of an example V4 neuron to pairs co ...
mechanisms and biological role of thalamocortical oscillations
mechanisms and biological role of thalamocortical oscillations

... Neocortical neurons reveal at least four distinct electrophysiological types (see Fig. 3): (a) regular-spiking (RS), (b) intrinsically-bursting (IB), (c) fast-rhythmic-bursting (FRB) and (d) fast-spiking (FS, Fig. 3) (Connors and Gutnick 1990; Gray and McCormick 1996; McCormick et al. 1985; Steriade ...
Brainstem: neural networks vital for life
Brainstem: neural networks vital for life

... when much of the blood flow is diverted to skeletal muscles. In spite of its role in these and many other essential bodily functions, the study of the brainstem has been neglected compared with research made on structures such as the cortex, hippocampus, cerebellum, retina, basal ganglia and spinal ...
wood ant (formica lugubris zett.)
wood ant (formica lugubris zett.)

... Reconstructions based on serial electron micrographs of the mushroom body of the wood ant reveal that the glial cell processes separating neuron cell bodies form a complex network of extremely thin lamellae. The glial sheaths contain round gaps or windows of varying size through which neurons make d ...
Basal Ganglia - Adaptive Behaviour Research Group
Basal Ganglia - Adaptive Behaviour Research Group

... also set its overall velocity. The time taken to execute movements decreased with increasing basal ganglia input thereby matching the results of striatal microstimulation studies. A 'dopamine depleted' version of the model exhibited akinesia and bradykinesia similar to that observed in Parkinson's d ...
Sleep-wake cycles: EEG
Sleep-wake cycles: EEG

... • Wakefulness: fast, low voltage and desynchronized electrical activity (bwaves) • Sleep: progressively slower, higher voltage and more synchronized electrical activity of the cortex (awaves) • REM-sleep: partial arousal without wakefulness characterized by desynchronized electrical cortical activit ...
Chorioamnionitis induced by intraamniotic lipopolysaccharide
Chorioamnionitis induced by intraamniotic lipopolysaccharide

... significantly in the LPS 14-day group (28-46%) compared with the saline group (12-23%) in all regions of interest. In the cortex, hippocampus, hypothalamus, cerebellar cortex, cerebellar WM, and T11 level of the SC, the percentage of apoptotic cells in the LPS 2-day group was higher than in controls ...
PDF
PDF

... level. This technique has been especially useful for studying human neuroanatomy because it works on postmortem tissue but it is also unreliable and capricious. In this report, we describe a simple technique that was applied to human autopsy and tissue-bank material yielding useful results for the s ...
Deep Learning Overview
Deep Learning Overview

... input units, allowing each hidden unit to connect to only a small subset of the input units.  Each hidden unit will connect to only a small contiguous region of pixels in the input. This idea of having locally connected networks also draws inspiration from how the early visual system is wired up i ...
Structural and functional architecture of respiratory networks in the
Structural and functional architecture of respiratory networks in the

... challenging problem in neuroscience. Indeed, breathing is a dynamically mutable motor behaviour that not only performs a vital homeostatic function, but is also integrated with many other physiological functions controlled by the brainstem and Phil. Trans. R. Soc. B (2009) ...
Reinforcement learning, conditioning, and the brain
Reinforcement learning, conditioning, and the brain

... response (S–R) associations. Given a situation or stimulus S, the animal tries a response R. If the outcome is positive, the connection between S and R is strengthened; if the outcome is negative, the connection is weakened. In this way, the advantageous response or responses for each situation beco ...
Differential effects of nicotine on the activity of substantia nigra and
Differential effects of nicotine on the activity of substantia nigra and

... criminated with a custom-designed time-amplitude window discriminator. Interspike interval histograms, mean firing rate and coefficient of variation (CV = standard deviation of firing frequency/mean firing frequency ´ 100) were calculated from 200-500 successive APs using LabView (National Instr.). ...
Time-frequency computational model for echo
Time-frequency computational model for echo

... environment from processing echoes of these sounds (Neuweiler, 2000; Popper and Fay, 1995). The images these bats perceive incorporate the shapes of objects at their correct locations over the operating range of their sonar (e.g., ~5 m for big brown bats; Kick, 1982). Experimental evidence indicates ...
CCNBook/Neuron
CCNBook/Neuron

... being important, which will vary depending on the scientific questions being addressed with the model. The approach taken for the models in this book is to find some kind of happy (or unhappy) middle ground between biological detail and cognitive functionality. This middle ground is unhappy to the e ...
Chapter 15 Perceptual Development
Chapter 15 Perceptual Development

... scene will look like to an adult. The image on the right will be able to be adjusted to simulate how the face or scene might appear to infants at different early ages. Press the Adjust Image button in the upper left corner and you can see an simulation of what this face might look like to a newborn ...
View Full Page PDF
View Full Page PDF

... compression with a power law with exponent 0.3 (Stevens, 1971; Zwislocki, 1973): (varying the exponent between 0.2 and 0.5 did not affect the results). ...
Document
Document

... chemical physical touch light heat transfer receptors may or may not have accessory structures associated with them ...
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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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