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online memory module
online memory module

... made that indicate struggles with memory, specifically long-term memory consolidation. What would be some observations she could share with him during their conversation? Check all that ...
neural control of respiration
neural control of respiration

... Skeletal muscles provide the motive force for respiration. Unlike cardiac or smooth muscle, they have no rhythmic "beat" of their own; they depend entirely on the nervous system for a stimulus to contract. Two separate neural systems control respiration: (1) Voluntary control originates in cerebral ...
IOSR Journal of Electronics and Communication Engineering (IOSR-JECE)
IOSR Journal of Electronics and Communication Engineering (IOSR-JECE)

... According to its name, the mass activity is a summation signal reflecting the activity of a large neuronal population. As the LFP, mass activity exhibits average properties and does not represent single neuron activity or interconnections. If signals are recorded non-invasively on the scalp, they ar ...
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Elaborative Processing If one were to look for the most effective use

... newly encoded information to reshape (interference) and wear away previously existing traces. Such interference does not occur if the information is delivered in deliberately spaced repetition cycles. (This is where the reader can take control of learning.) Repeated exposure to information in specif ...
A Brief History of Memory and Aging
A Brief History of Memory and Aging

... However, the data show that, although sensory acuity does decline as a function of age, and response time increases as a function of age, the correlation between auditory and visual reaction times was much larger than that between auditory acuity and auditory reaction time or between visual acuity a ...
Paper Title (use style: paper title)
Paper Title (use style: paper title)

... International Journal of Enhanced Research Publications, ISSN: XXXX-XXXX Vol. 2 Issue 4, April-2013, pp: (1-4), Available online at: www.erpublications.com Lately, domain adaptations for computer vision applications have attempted several works with the use of language to alleviate image scene unde ...
For Motor Outputs, as for Sensory Inputs, Spike Timing Carries More
For Motor Outputs, as for Sensory Inputs, Spike Timing Carries More

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Do Computational Models Differ Systematically From Human Object
Do Computational Models Differ Systematically From Human Object

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ABC Studentships
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neural basis of deciding, choosing and acting
neural basis of deciding, choosing and acting

... fields in a very precise topographic map of the visual field; they respond preferentially to stimuli of different orientation, colour, direction of motion, stereoscopic depth, and so on. Outputs from the primary visual cortex innervate secondary and tertiary areas that project to other visual areas ...
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Complementary Learning Systems
Complementary Learning Systems

... is an inevitable consequence of systems that employ highly overlapping distributed representations, and furthermore that such systems have a number of highly desirable properties (e.g., the ability to perform generalization and inference; Hinton, McClelland, & Rumelhart, 1986; McClelland & Rumelhart ...
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Key Knowledge 2

... permanently in a highly organised way (with an essentially unlimited capacity). ...
Evolution of Nervous Systems and Brains
Evolution of Nervous Systems and Brains

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... From empirical point of view, it is obvious today that our knowledge about visual areas of the brain can enhance our ability to predict illusory experiences (40). However, two arguments will be presented in the following sections that support the role of a top-down strategy in identifying the common ...
Are Action-based Lies easier to detect than Speech
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... Action-Lie was 93.68% (SD = 8.95), Action-Truth was 91.58% (SD = 8.98), Speech-Lie was 91.05% (SD = 7.37), Speech-Truth was 93.68% (SD = 9.55). We checked whether the accuracy (i.e., ...
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3 state neurons for contextual processing

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action potential presen - Westgate Mennonite Collegiate
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learning objectives for nervous tissue and nervous system
learning objectives for nervous tissue and nervous system

... 7. What is the function of a neuron? Distinguish between cell body (perikaryon), dendrites, axon. What is the function and location of: chromatophilic substance (Nissl bodies), neurofibrils, axon hillock, axon collaterals, axon terminals (synaptic end bulbs), and neurotransmitters. 8. What organelle ...
Organization of the Nervous System
Organization of the Nervous System

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... trajectory. The comprehensive ensemble over all brain neurons of axonal origin, type, termination, and trajectory relative to other structures, at least from an anatomical perspective, defines what is called ‘‘the connectome.’’ Functional networks are directly mediated by this neuroanatomical substr ...
spatial cognition - UCSD Cognitive Science
spatial cognition - UCSD Cognitive Science

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Hemispheric Asymmetry in Visual Perception Arises from Differential Encoding
Hemispheric Asymmetry in Visual Perception Arises from Differential Encoding

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Placebo
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Holonomic brain theory

The holonomic brain theory, developed by neuroscientist Karl Pribram initially in collaboration with physicist David Bohm, is a model of human cognition that describes the brain as a holographic storage network. Pribram suggests these processes involve electric oscillations in the brain's fine-fibered dendritic webs, which are different from the more commonly known action potentials involving axons and synapses. These oscillations are waves and create wave interference patterns in which memory is encoded naturally, and the waves may be analyzed by a Fourier transform. Gabor, Pribram and others noted the similarities between these brain processes and the storage of information in a hologram, which can also be analyzed with a Fourier transform. In a hologram, any part of the hologram with sufficient size contains the whole of the stored information. In this theory, a piece of a long-term memory is similarly distributed over a dendritic arbor so that each part of the dendritic network contains all the information stored over the entire network. This model allows for important aspects of human consciousness, including the fast associative memory that allows for connections between different pieces of stored information and the non-locality of memory storage (a specific memory is not stored in a specific location, i.e. a certain neuron).
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