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Neuronal oscillations and brain wave dynamics in a LIF model
Neuronal oscillations and brain wave dynamics in a LIF model

... we can see how his trembling hand instantly relaxes. It’s astounding that technology has come this far. But what strikes me the most, is what the neurologist in the studio tells us about the procedure: they have no idea how it works. One might expect that stimulating an already overactive region wou ...
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... Located in parietal lobe posterior to central sulcus Sensory homunculus is a spatial map Left side of the primary somatic sensory area receives impulses from right side (and vice versa) ...
The Nervous System (ppt).
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Linking reward expectation to behavior in the basal ganglia
Linking reward expectation to behavior in the basal ganglia

... came the crucial feature of the task: after correctly making the saccade, the monkey was rewarded (with a sound plus a drop of liquid) only if the target was in one of the two possible locations. The rewarded location was fixed in blocks of 20 consecutive trials, such that only correct leftward sacc ...
A Double-labeling Investigation of the Afferent Connectivity to
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... of the visual field cortical surface (Van Essen, 1979; Kaas, 1980; Tusa et al., 1981), numerous studies have addressed the question of their afferent connectivity. Anterograde and retrograde tracing techniques have demonstrated extensive redundancy in the connections of these visual areas. In other ...
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How Molecules Matter to Mental Computation
How Molecules Matter to Mental Computation

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Biopsychology 2012 – sec 002
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T2 - Center for Neural Basis of Cognition

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Spinal Cord and the Peripheral Nervous System
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Neuropsychological Disorders, Damage to CNS

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Central Control of Motor Function
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Plasticity and nativism: Towards a resolution of
Plasticity and nativism: Towards a resolution of

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Nervous System I

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10synapse & neurotransmitter

... • A single neuron maybe connected to 5000 to 10,000 other neurons. • Brain is responsible for different activities like sensations, movements of muscle, thought, emotion, memory – all these depend on electrical and chemical signaling between neurons along wired neural pathways. ...
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Feature detection (nervous system)

Feature detection is a process by which the nervous system sorts or filters complex natural stimuli in order to extract behaviorally relevant cues that have a high probability of being associated with important objects or organisms in their environment, as opposed to irrelevant background or noise. Feature detectors are individual neurons – or groups of neurons – in the brain which code for perceptually significant stimuli. Early in the sensory pathway feature detectors tend to have simple properties; later they become more and more complex as the features to which they respond become more and more specific. For example, simple cells in the visual cortex of the domestic cat (Felis catus), respond to edges – a feature which is more likely to occur in objects and organisms in the environment. By contrast, the background of a natural visual environment tends to be noisy – emphasizing high spatial frequencies but lacking in extended edges. Responding selectively to an extended edge – either a bright line on a dark background, or the reverse – highlights objects that are near or very large. Edge detectors are useful to a cat, because edges do not occur often in the background “noise” of the visual environment, which is of little consequence to the animal.
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