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Reading Out Visual Information from Populations of Neurons in ITC
Reading Out Visual Information from Populations of Neurons in ITC

... Using statistical classifiers on populations of neural data is a powerful way to decode the content and dynamics of information in different brain regions. Our analyses indicate that: PFC contains more category information during most time periods, while ITC contains more identity information when a ...
The Biology of the Brain
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... one time. Even this much milder claim has been refuted. In fact we use nearly every part of our brain and most of the brain is active all of the time. The myth has been perpetuated in pop culture and is frequently used in advertisements. Part of its appeal may be the idea that we have a huge amount ...
THE BRAIN DAMAGE IN FETAL ALCOHOL SYNDROME
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... offspring rats at the age of one month old (11 animals from each group). Brain tissues were treated with 5% formalin in the volume ratio 1:10. Upon fixation, segments of brain tissue were cut out of convexital surface of the sensorimotor cortex, hypothalamus, and cerebellum and embedded in paraffin. ...
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... Web sites • Society for Neuroscience • www.sfn.org ...
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... is wrong, neuron A changes the strength of its connection to neuron B to decrease the prediction error. In this case the brain changes its internal predictions until it minimises its error, and learning or memory forming is the result. All well and good in theory, but how can we know whether real br ...
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Answer Key - Psychological Associates of South Florida

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... The soma (cell body) is the central part of the neuron. It contains the nucleus of the cell, and therefore is where most protein synthesis occurs. The nucleus ranges from 3 to 18 micrometers in diameter. The dendrites of a neuron are cellular extensions with many branches, and metaphorically this o ...
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... – Be able to identify and name the structures listed in your Lab Study Guide using the human brain models or photographs of the human brains (from designated slides in Lab 13) – Be able to identify and state the number and name of four of the twelve cranial nerves: I, II, III, and V on the human bra ...
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... any acceleration and deceleration in a traumatic event. The physician can explain that the skull is rigid but the brain has the consistency of Jell-O. With the aid of a model it is much easier to explain how any rapid changes in the direction of the movement of the skull and brain can cause the str ...
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... routing (how signals are passed across the network). But while single neuron dynamics are reasonably well understood, and while researchers have begun to elucidate key aspects of network topology in brains, very little work has been devoted to possible routing schemes in the brain (Graham and Rockmo ...
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... EEG frequencies and their functions  Delta is the lowest frequency < 4 Hz and occur in a deep sleep or vegetative state of brain characterizing an unconscious person.  Theta has frequency 3.5-7.5 Hz – arise from synchronous firing of many neurons, observed during some sleep states and during quie ...
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Neuroinformatics

Neuroinformatics is a research field concerned with the organization of neuroscience data by the application of computational models and analytical tools. These areas of research are important for the integration and analysis of increasingly large-volume, high-dimensional, and fine-grain experimental data. Neuroinformaticians provide computational tools, mathematical models, and create interoperable databases for clinicians and research scientists. Neuroscience is a heterogeneous field, consisting of many and various sub-disciplines (e.g., Cognitive Psychology, Behavioral Neuroscience, and Behavioral Genetics). In order for our understanding of the brain to continue to deepen, it is necessary that these sub-disciplines are able to share data and findings in a meaningful way; Neuroinformaticians facilitate this.Neuroinformatics stands at the intersection of neuroscience and information science. Other fields, like genomics, have demonstrated the effectiveness of freely-distributed databases and the application of theoretical and computational models for solving complex problems. In Neuroinformatics, such facilities allow researchers to more easily quantitatively confirm their working theories by computational modeling. Additionally, neuroinformatics fosters collaborative research—an important fact that facilitates the field's interest in studying the multi-level complexity of the brain.There are three main directions where neuroinformatics has to be applied: the development of tools and databases for management and sharing of neuroscience data at all levels of analysis, the development of tools for analyzing and modeling neuroscience data, the development of computational models of the nervous system and neural processes.In the recent decade, as vast amounts of diverse data about the brain were gathered by many research groups, the problem was raised of how to integrate the data from thousands of publications in order to enable efficient tools for further research. The biological and neuroscience data are highly interconnected and complex, and by itself, integration represents a great challenge for scientists.Combining informatics research and brain research provides benefits for both fields of science. On one hand, informatics facilitates brain data processing and data handling, by providing new electronic and software technologies for arranging databases, modeling and communication in brain research. On the other hand, enhanced discoveries in the field of neuroscience will invoke the development of new methods in information technologies (IT).
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