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Neuroscience and Neurobiology Commons™
Open Access. Powered by Scholars. Published by Universities.®
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- Computational Neuroscience (6)
- Artificial Intelligence and Robotics (5)
- Cognition and Perception (5)
- Cognitive Neuroscience (5)
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- LANGUAGE (4)
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- Activation probabilities (1)
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- Bayesian spatial modeling (1)
- Data models (1)
- Edge-preservation (1)
- Electrophysiology (1)
- Epilepsy (1)
- FMRI experiments (1)
- Ising prior (1)
- Knowledge engineering (1)
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- NEUROSEMANTICS (1)
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- Publication
Articles 1 - 8 of 8
Full-Text Articles in Neuroscience and Neurobiology
Epilepsy-Associated Dysfunction In The Voltage-Gated Neuronal Sodium Channel Scn1a, Christoph Lossin, T. Rhodes, R. Desai, C. Vanoye, S. Caniciu, O. Devinsky, A. George
Epilepsy-Associated Dysfunction In The Voltage-Gated Neuronal Sodium Channel Scn1a, Christoph Lossin, T. Rhodes, R. Desai, C. Vanoye, S. Caniciu, O. Devinsky, A. George
Christoph Lossin, Ph.D.
Mutations in SCN1A, the gene encoding the brain voltage-gated sodium channel subunit (Nav1.1) are associated with at least two forms of epilepsy, generalized epilepsy with febrile seizures plus (GEFS+) and severe myoclonic epilepsy of infancy (SMEI). We examined the functional properties of four GEFS+ alleles and one SMEI allele using whole-cell patch-clamp analysis of heterologously expressed recombinant human SCN1A. One previously reported GEFS+ mutation (I1656M) and an additional novel allele (R1657C), both affecting residues in a voltage-sensing S4 segment, exhibited a similar depolarizing shift in the voltage dependence of activation. Additionally, R1657C showed a 50% reduction in current density and …
Assessing Brain Activity Using Spatial Bayesian Variable Selection, Michael Smith, B Putz, D Auer, Ludwig Fahrmeir
Assessing Brain Activity Using Spatial Bayesian Variable Selection, Michael Smith, B Putz, D Auer, Ludwig Fahrmeir
Michael Stanley Smith
Statistical parametric mapping (SPM), relying on the general linear model and classical hypothesis testing, is a benchmark tool for assessing human brain activity using data from fMRI experiments. Friston et al. (Neuroimage 16 (2002a), 484) discuss some limitations of this frequentist approach and point out promising Bayesian perspectives. In particular, a Bayesian formulation allows explicit modeling and estimation of activation probabilities. In this study, we directly address this issue and develop a new regression based approach using spatial Bayesian variable selection. Our method has several advantages. First, spatial correlation is directly modeled for activation probabilities and indirectly for activation amplitudes. …
Classifying Instantaneous Cognitive States From Fmri Data, Tom Mitchell, Rebecca Hutchinson, Marcel Just, Radu Niculescu, Francisco Pereira, Xuerui Wang
Classifying Instantaneous Cognitive States From Fmri Data, Tom Mitchell, Rebecca Hutchinson, Marcel Just, Radu Niculescu, Francisco Pereira, Xuerui Wang
Marcel Adam Just
No abstract provided.
Neuroindices Of Cognitive Workload: Neuroimaging, Pupillometric, And Event-Related Potential Studies Of Brain Work, Marcel Adam Just, Patricia A. Carpenter, Akira Miyake
Neuroindices Of Cognitive Workload: Neuroimaging, Pupillometric, And Event-Related Potential Studies Of Brain Work, Marcel Adam Just, Patricia A. Carpenter, Akira Miyake
Marcel Adam Just
No abstract provided.
Ambiguity In The Brain: What Brain Imaging Reveals About The Processing Of Syntactically Ambiguous Sentences, Robert A. Mason, Marcel Adam Just, Timothy A. Keller, Patricia A. Carpenter
Ambiguity In The Brain: What Brain Imaging Reveals About The Processing Of Syntactically Ambiguous Sentences, Robert A. Mason, Marcel Adam Just, Timothy A. Keller, Patricia A. Carpenter
Marcel Adam Just
No abstract provided.
Brain Imaging Of Tongue-Twister Sentence Comprehension: Twisting The Tongue And The Brain, Timothy A. Keller, Patricia A. Carpenter, Marcel Adam Just
Brain Imaging Of Tongue-Twister Sentence Comprehension: Twisting The Tongue And The Brain, Timothy A. Keller, Patricia A. Carpenter, Marcel Adam Just
Marcel Adam Just
No abstract provided.
Tools And Approaches For The Construction Of Knowledge Models From The Neuroscientific Literature, Gully Apc Burns, Arshad M. Khan, Shahram Ghandeharizadeh, Mark O'Neill, Yi-Shin Chen
Tools And Approaches For The Construction Of Knowledge Models From The Neuroscientific Literature, Gully Apc Burns, Arshad M. Khan, Shahram Ghandeharizadeh, Mark O'Neill, Yi-Shin Chen
Arshad M. Khan, Ph.D.
Within this paper, we describe a neuroinformatics project (called "NeuroScholar," http://www.neuroscholar.org/) that enables researchers to examine, manage, manipulate, and use the information contained within the published neuroscientific literature. The project is built within a multi-level, multi-component framework constructed with the use of software engineering methods that themselves provide code-building functionality for neuroinformaticians. We describe the different software layers of the system. First, we present a hypothetical usage scenario illustrating how NeuroScholar permits users to address large-scale questions in a way that would otherwise be impossible. We do this by applying NeuroScholar to a "real-world" neuroscience question: How is stress-related information …
Differential Effects Of Syntactic And Semantic Processing On The Subregions Of Broca's Area, Sharlene D. Newman, Marcel Adam Just, Timothy A. Keller, Jennifer Roth, Patricia A. Carpenter
Differential Effects Of Syntactic And Semantic Processing On The Subregions Of Broca's Area, Sharlene D. Newman, Marcel Adam Just, Timothy A. Keller, Jennifer Roth, Patricia A. Carpenter
Marcel Adam Just
No abstract provided.