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chapter32_part2
chapter32_part2

... • The cerebral cortex, the outer layer of gray matter, has areas that receive and integrate sensory information. It also controls conscious thought and actions. • The cerebral cortex interacts with the limbic system, a set of brain structures that collectively affect emotions and contribute to memor ...
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... directions, until it is cut off by recurrent inhibition. Beyond this cutoff, the excitation is not strong enough to overcome the threshold for activation set by inhibition. To generate Fig. 2a, the stimulus was ®xed, and the responses of all the neurons were measured. A similar graph is obtained if ...
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file

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... despite its importance in mouse vision and its usefulness in developmental studies. We have made single-unit extracellular recordings from superficial layers of the SC in urethane-anesthetized C57BL/6 mice. We first map receptive fields with flashing spot stimuli and show that most SC neurons have s ...
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... charge down the axon to the next cell. A reflex is an involuntary action that does not involve conscious control by the brain. You cannot stop it. ...
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... effects of accidental or deliberate nervoussystem damage. There are two types: The case study method looks at the effects of brain damage due to stroke, head trauma, or other injury in humans. 2. In lesion studies, an electrode is used to selectively destroy a specific brain area of an animal. The r ...
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Midterm 1 with answer key
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... 26. Suppose it is found that stimulus A (e.g., the word "doctor") primes the discrimination of word versus non-word for the stimulus X (e.g., X is the word "nurse"). What is the usual interpretation of a priming effect in cognitive psychology? a)  Stimulus A activates many of the same neural center ...
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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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