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Bradley Monk (talk | contribs) No edit summary |
Bradley Monk (talk | contribs) No edit summary |
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{{Box|width=45%|float= | {{Box|width=45%|float=left|font-size=14px|[[:Category:Synaptic Plasticity|Synaptic Plasticity]]|[[File:Neuron Synapse.png|right|280px|link=Synaptic Plasticity]] | ||
It is now generally accepted that many forms of adaptive behavior, including learning and memory, engender lasting physiological changes in the brain; reciprocally, neural plasticity among the brain’s synaptic connections provides the capacity for learning and memory. Whenever I have to summarize my primary research focus using just a few words, they always include: "'''''synaptic plasticity'''''". Indeed, I feel that the key to fully understanding cognitive processes like memory formation is through studying neural dynamics at the cellular-network, synaptic, and molecular levels. | It is now generally accepted that many forms of adaptive behavior, including learning and memory, engender lasting physiological changes in the brain; reciprocally, neural plasticity among the brain’s synaptic connections provides the capacity for learning and memory. Whenever I have to summarize my primary research focus using just a few words, they always include: "'''''synaptic plasticity'''''". Indeed, I feel that the key to fully understanding cognitive processes like memory formation is through studying neural dynamics at the cellular-network, synaptic, and molecular levels. | ||
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{{Box|width=45%|float= | {{Box|width=45%|float=left|font-size=14px|[[:Category:ReDiClus|Computational Modeling]]|[[File:Neuralinformatics.gif|right|link=ReDiClus]] | ||
Broadly, neuroinformatics is the computational modeling and simulation of the nervous system. It involves translating quantitative data collected from neurobiology experiments into mathematical representations. From there, this symbolic representation can be used to create computer simulations of neural activity, network processing, molecular dynamics, and other physical processes. I am using MatLab, Python, R, and other tools to build models and animations that are directly based off my own and others empirical observations. | Broadly, neuroinformatics is the computational modeling and simulation of the nervous system. It involves translating quantitative data collected from neurobiology experiments into mathematical representations. From there, this symbolic representation can be used to create computer simulations of neural activity, network processing, molecular dynamics, and other physical processes. I am using MatLab, Python, R, and other tools to build models and animations that are directly based off my own and others empirical observations. | ||
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{{Box|width=45%|float= | {{Box|width=45%|float=left|font-size=14px|[[Brain Molecular Pathways|Brain Molecular Pathways Project]]| | ||
This project aims to provide annotated sets of [[Molecular Pathways|molecular pathways]] involved in neural plasticity underlying learning and memory systems. In general, biological pathways display the series of interactions among molecules resulting in functional changes within cells and neural networks. Currently there are large scale projects dedicated to amassing pathway evidence via high-throughput methods. The goal is to translate this unwieldy biopathway data from several [http://www.genome.jp/kegg/ empirical databases] into visually digestible material, by [[Molecular Pathways|characterizing]] the features of molecular cascades most sensitive to an ''event of interest'' (e.g. fear conditioning or amphetamine addiction). | This project aims to provide annotated sets of [[Molecular Pathways|molecular pathways]] involved in neural plasticity underlying learning and memory systems. In general, biological pathways display the series of interactions among molecules resulting in functional changes within cells and neural networks. Currently there are large scale projects dedicated to amassing pathway evidence via high-throughput methods. The goal is to translate this unwieldy biopathway data from several [http://www.genome.jp/kegg/ empirical databases] into visually digestible material, by [[Molecular Pathways|characterizing]] the features of molecular cascades most sensitive to an ''event of interest'' (e.g. fear conditioning or amphetamine addiction). | ||
Revision as of 23:19, 30 December 2014
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