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Data - Digital Science Center
Data - Digital Science Center

... • Data assimilation implies one is solving some optimization problem which might have Kalman Filter like structure Nobs ...
Chapter 15 Viral Vector-Based Techniques for Optogenetic
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Deep Neural Networks for Anatomical Brain Segmentation
Deep Neural Networks for Anatomical Brain Segmentation

... brain (cortical and sub-cortical areas) into a large number N of anatomical regions, where N is defined by the segmentation protocol (typically around 100). Knowledge of the segmentation protocol is implicitly given through a set of manually labelled 3D brain MRIs. An atlas consists of an MR image a ...
Map/Reduce - dbmanagement.info
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... – Build a huge data warehouse with many Yahoo! data sets – Couple it with a huge compute cluster and programming frameworks to make using the data easy – Provide this as a service to our researchers – We are seeing great results! • Experiments can be run much more quickly in this environment ...
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Desired EEG Signals For Detecting Brain Tumor Using Indu Sekhar Samant
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Empirical assessment of published effect sizes and power
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... be false positives. If we now move into the domain of more exploratory research where even more experimental ideas are likely to be false (5 < H0:H1 odds < 20; bias = 10-30%) then FRP grows to at least 60-91% (median = 77%). When comparing reported to computed p values from F tests, we found that in ...
Diffusion-Weighted MR Imaging in Brain Tumor
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... diffusion tensor imaging (DTI) and diffusion-weighted imaging (DWI), have been widely used to evaluate such tumors. Diffusion-weighted MR image Diffusion-weighted imaging is based on the random or Brownian motion of water molecules in relation to their thermal energy. DWI has been used to assess bra ...
Brain Facts: A Primer On The Brain And Nervous System
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The amygdala, a part of the brain known for its role in fear, also

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... to be applied and followed successfully, to study it. These methods vary in substantial ways, from problem to problem, the results of which lead to the fragmentation of this field into many categories. The criteria for the success of this theory cover the whole decision cycle. They consist of, e.g., ...
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... in the activity of the brain faces the challenge of explaining how the localised patterns of activation of different neural cortical networks can enable the capacity to distinguish, recognise, categorise, and ultimately conceptualise objects, events, and the state of affairs in the world. Two main a ...
the brain`s concepts: the role of the sensory
the brain`s concepts: the role of the sensory

... in the activity of the brain faces the challenge of explaining how the localised patterns of activation of different neural cortical networks can enable the capacity to distinguish, recognise, categorise, and ultimately conceptualise objects, events, and the state of affairs in the world. Two main a ...
Chapter 02 - Neurons and Glia
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... processing, and its export from nucleus. Using Figure 2.9b, explain RNA splicing and the process of translation. 1) Introduce molecular neurobiology as a field and touch on the “central dogma” of molecular biology. Discussion Point: Discuss the following case study with students and explain how diff ...
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... autoradiography to determine whether changes occur in the distribution of ‘H-SP receptor binding sites in the rat CNS following a kainic acid lesion of the corpus striamm. Using this technique we will address the possibility that high levels of 3H-SP receptor binding sites are normally not observed ...
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... The brain’s 100 billion neurons connect the various organs and brain regions into a complex network of circuits that control specific functions within the body. Simply speaking, these circuits serve as on/off switches for the millions of messages and processes carried out on a daily basis. For examp ...
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... if one considers that although gorillas and orangutans overlap or exceed humans in body size, their brains amount to only about one-third of the size of the human brain. There are, however, several problems with the notion that the explanation for the superior cognitive abilities of the human specie ...
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Predictability Modulates Human Brain Response to Reward
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... term in the GL M (a total of six contrasts). We thresholded these summary statistical maps at p ⬍ 0.001 (uncorrected for multiple com- ...
Bridging Cytoarchitectonics and Connectomics in Human Cerebral
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... Brain Center Rudolf Magnus, Department of Psychiatry, University Medical Center Utrecht, 3508 GA Utrecht, The Netherlands, 2Department of Psychology, Northeastern University, Boston, Massachusetts 02115, 3Department of Psychiatry and Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts ...
The Neuroscience of Spontaneous Thought: An Evolving
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Time-series Bitmaps - University of California, Riverside
Time-series Bitmaps - University of California, Riverside

... measures, representations and algorithms. Surprisingly, this massive research effort has had little impact on real world applications. Real world practitioners who work with time series on a daily basis rarely take advantage of the wealth of tools that the data mining community has made available. I ...
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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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