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Neurons and Glia
Neurons and Glia

... In this chapter,we focus on the structure of the different types of cells in the nervous system:neurlns and glia. Theseare broad categories,within which are many types of cells that differ basedon their structure, chemistry, and function. Nonetheless,the distinction between neurons and glia is impor ...
Program booklet - Munich Center for NeuroSciences
Program booklet - Munich Center for NeuroSciences

... Many parasites have evolved the ability to manipulate the behavior of their hosts to advance transmission. These manipulations range from slightly changed existing behaviors to the establishment of completely novel ones that are not part of the regular repertoire. The stereotypical biting behavior r ...
Neil Bossenger - The power of upper cervical
Neil Bossenger - The power of upper cervical

... What’s the Big Deal? ...
On the computational architecture of the neocortex
On the computational architecture of the neocortex

28-1 Pt II - Southgate Community School District
28-1 Pt II - Southgate Community School District

... size & complexity from fishes through to mammals. – In fishes, amphibians, & reptiles, the cerebrum, or “thinking” region, is relatively small. – In birds & mammals, and especially in primates, the cerebrum is much larger and may contain folds that increase its surface area. – The cerebellum is also ...
View Presentation
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... • observer may not pay attention on low intensity trials • observer may anticipate stimulus on descending series ...
Development of the adolescent brain
Development of the adolescent brain

... There seems to be a qualitative shift in the nature of thinking such that adolescents are more self-aware and self-reflective than prepubescent children. Adolescents develop a capacity to hold in mind more multidimensional concepts and are thus able to think in a more strategic manner. Empirical res ...
Barlow, Horace (2001) - Cambridge Neuroscience
Barlow, Horace (2001) - Cambridge Neuroscience

... retinas. The average frequency of impulses certainly becomes lower in the cortex, so coding does become sparser, but even if the capacity is deemed to be limited by this reduced mean firing rate, the increased number of cells dominates: on any plausible assumptions the capacity of the cortical repre ...
Forea Wang
Forea Wang

... have not only a temporal component, but also a spatial one, and the integration of inputs from multiple cells in tandem can be investigated. Part of the UROP will involve dynamic discussions on how to design highly controlled experiments for validating the system step-wise and logically. First, a ce ...
xiao-ying-lu-southeast-university
xiao-ying-lu-southeast-university

... for investigating the electrical signal transmission and processing mechanism among neuron clusters in neural network, studying the function of the whole nervous system, thus overcome the “Great Gap” in brain research. ...
PID *****2515 1.Why is it difficult to understand olfactory neural
PID *****2515 1.Why is it difficult to understand olfactory neural

... because pyramidal neurons (second­order neurons) act as coincidence detectors,  they only fire  AP when a certain subset of M/T cells is synchronously active (p53).  The coincident activity of  several presynaptic M/T cells is required to overcome widespread inhibition mediated by local  interneuron ...
LiuPoster - Department of Mathematics
LiuPoster - Department of Mathematics

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FIAT 8 - UCLA Statistics
FIAT 8 - UCLA Statistics

... Understanding the temporal pattern of the nerve fibers. Detailed understanding of how the hair cells change sound into electrical nerve impulses ...
Basics of electromagnetic field mapping
Basics of electromagnetic field mapping

... map X from map Y (Fig. 5B). Those sources that were identical in map X and map Y (let’s call the map produced by those sources K) do not affect map Z. (In mathematical terms: Z = (X + K) − (Y + K) = X − Y .) Thus, if we can prove the existence of a difference map obtained by comparing two conditions ...
GameAI_NeuralNetworks
GameAI_NeuralNetworks

... radius of one another, assume to be in combat Combat will not be simulated – but use a simple system whereby AI units will lose a number of HP every turn through the game loop Player also loses a number of HP proportional to number of AI units A unit dies when HP = 0, and is respawned ...
Introduction to Psychology
Introduction to Psychology

... a. Intelligence is determined largely by genetics. b. Where a person lives determines how the person behaves. c. Intelligence is determined by the kind of education a person receives. d. Peoples family life helps determine who they will become. ...
Functional Organization of Nervous Tissue
Functional Organization of Nervous Tissue

... medial epicondyle of the humerus will produce strong tingling sensations along the forearm and hand. (a) Radial (b) Median (c) Phrenic (d) Femoral (e) Ulnar ...
Prefrontal abilities
Prefrontal abilities

... in appropriate sequence over time, a process that demands prefrontal activity (Fuster, 1980; Stuss and Benson, 1986; Goldman-Rakic, 1990). Both the parietal and the prefrontal heteromodal association cortex regions have rich connections to unimodal association cortex. This consortium of neural struc ...
CLOsed-loop Neural prostheses for vestibular disorderS
CLOsed-loop Neural prostheses for vestibular disorderS

... Artificial system attached to the head that mimics the function of the natural vestibular system ...
Chapters 6-7  - Foundations of Human Social
Chapters 6-7 - Foundations of Human Social

... • Two-neuron networks • Negative feedback: a divisive gain control • Positive feedback: a short term memory circuit • Mutual Inhibition: a winner-take-all network ...
Biology 4 Practice Exam Chapter 16 – Autonomic Nervous System 1
Biology 4 Practice Exam Chapter 16 – Autonomic Nervous System 1

... d. motor neuron pathways synapse in the same patterns as in the somatic nervous system. e. none of the above is true 2. The origin of the sympathetic division of the autonomic nervous system is a. craniosacral b. dorsoventral c. thoracolumbar d. pre- and postganglionic e. none of the above 3. The sy ...
Untitled
Untitled

... muscles. It is not visible on the ventral surface of the brain but can be found emerging just behind the inferior colliculus. Trigeminal Nerve The trigeminal nerve (tri + Latin: geminus =twin) is a mixed nerve which means that it contains both sensory and motor fibres. The main portion, which is spl ...
Damien Lescal , Jean Rouat, and Stéphane Molotchnikoff
Damien Lescal , Jean Rouat, and Stéphane Molotchnikoff

... Visual and auditory prostheses involve surgeries that are complex, expensive and invasive. They are limited to a small number of electrodes and can only be used when the impairment is peripheral. Non invasive prostheses (sensorial substitution systems) have existed for more than 40 years but have no ...
Neurological Basis of Classical Conditioning
Neurological Basis of Classical Conditioning

... frequency, that is, they fire at a maximum rate to a certain pitch or tone. (In terms of sound waves, the wave frequency varies as a function of the pitch of the sound). They then conditioned guinea pigs by pairing the foot shock with a tone of a specific frequency, after which, they retested the to ...
Habit formation
Habit formation

... to study the brain basis of habit formation. For the most part, these measures center on behavioral tasks designed to test whether a learned response is driven by stimulus-response (SR) associations or by more cognitive or prospective processes. And yet, the “SR habits” so defined, are hypotheses ba ...
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Metastability in the brain

In the field of computational neuroscience, the theory of metastability refers to the human brain’s ability to integrate several functional parts and to produce neural oscillations in a cooperative and coordinated manner, providing the basis for conscious activity.Metastability, a state in which signals (such as oscillatory waves) fall outside their natural equilibrium state but persist for an extended period of time, is a principle that describes the brain’s ability to make sense out of seemingly random environmental cues. In the past 25 years, interest in metastability and the underlying framework of nonlinear dynamics has been fueled by advancements in the methods by which computers model brain activity.
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