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Astrocyte-Neuron Interactions during Learning May Occur by Lactate
Astrocyte-Neuron Interactions during Learning May Occur by Lactate

Differential Localization of G Protein βγ Subunits
Differential Localization of G Protein βγ Subunits

... distribution in tissues, their subcellular expression, or their functional relevance in the context of the whole organism. To this end, a greater understanding of the tissue localization and subcellular distribution of Gβγ isoforms will be of particular importance in determining which of the many po ...
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Deep Sparse Rectifier Neural Networks
Deep Sparse Rectifier Neural Networks

... because the objective of the former is to obtain computationally efficient learners, that generalize well to new examples, whereas the objective of the latter is to abstract out neuroscientific data while obtaining explanations of the principles involved, providing predictions and guidance for futur ...
The Rat Ventromedial Thalamic Nucleus and Motor Control: Role of
The Rat Ventromedial Thalamic Nucleus and Motor Control: Role of

... use an excitatory amino acid, possibly L-glutamate, as their transmitter. Excitatory amino acids are known to interact with iV-methyl-D-aspartate (NMDA), kainate, and quisqualate receptors, the presence of which has been demonstrated within the thalamus, r-Amino-butyrate (GABA) has been identified a ...
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[3h]cyclohexyladenosine

... Total binding is at least 20 times the nonspecific binding assayed in the presence of 5 pM I-PIA. Such low levels of nonspecific binding facilitate optimal autoradiographic analysis, ensuring that essentially all of the visualized autoradiographic grains will be associated with specific adenosine re ...
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Lecture Guide - TestbankCart.com

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Asymmetry of the Neuroendocrine System
Asymmetry of the Neuroendocrine System

... back to 1861, when Paul Broca reported that the lesions in his aphasic patients lay on a delimited region of the left hemisphere. On the basis of this fundamental and subsequent observations, a classic theory of asymmetry was formulated comprising the existence of a single dominant (left) hemisphere ...
New Insights on Neural Basis of Choice
New Insights on Neural Basis of Choice

... neuroeconomics, a branch in neuroscience that is still in its infancy. Although choosing among different types of goods and products might be very challenging, our brains are able to compute our choice with a fascinating velocity. A large number of experiments have investigated the neural correlates ...
A double-dissociation of English past
A double-dissociation of English past

... remained outside the scope of these models, its proponents argued that clinical double-dissociations could be low-probability stochastic (i.e. non-systematic) phenomena and as such can be simulated in homogeneous networks (Gonnerman et al., 1997; Juola and Plunkett, 1998). A number of investigators ...
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Uygar Sümbül - Department of Statistics

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Computational modeling of responses in human visual

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... manipulate computers or machinery with nothing more than a thought. It isn't about convenience, for severely disabled people, development of a brain-computer interface (BCI) could be the most important technological breakthrough in decades. A Brain-computer interface, sometimes called a direct neura ...
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No Binocular Rivalry in the LGN of Alert Macaque Monkeys

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Sherman_PPT_Chapter2

... discovering the actual genetic material responsible for the physical structure or behavior under investigation. • The researchers who study the biological basis of animal and human behavior are working in an area called behavioral neuroscience. Copyright © Prentice Hall 2007 ...
Module 1 - Doral Academy Preparatory
Module 1 - Doral Academy Preparatory

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Review Article Long-Term Memory Search across the

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Messages from the Brain Connectivity Regarding Neural Correlates
Messages from the Brain Connectivity Regarding Neural Correlates

... zational principles of the cerebral cortex [11-16] and are applied in almost all cognitive domains [17]. They look like two sides of the same coin, since we cannot understand the brain function seeing only one aspect between these two features. Functional segregation ...
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xiao-ying-lu-southeast-university

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Reconstruction of the nigrostriatal dopamine pathway in the adult

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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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