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| * https://en.wikipedia.org/wiki/Help:Link_color
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| * https://www.mediawiki.org/wiki/Extension:Semantic_Forms/Linking_to_forms#Using_.23formlink
| | {{Box|width=48%|font-size=14px| [https://www.mediawiki.org/wiki/Category:All_extensions Mediawiki Extensions] | |
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| {{Box|width=48%|font-size=14px|[[Diffusion|Molecular Diffusion]]|
| | * [https://en.wikipedia.org/wiki/Help:Link_color Help:Link_color] |
| Over the last year my escapades and capers have been primarily directed at the study of synaptic potentiation from a neurodynamics perspective. Currently, I'm examining the membrane [[:Category:Diffusion|diffusion]] of neurotransmitter receptors and modeling how these particles swarm and potentiate synapses. It has been an interesting transition into these topics - prior to these projects I worked primarily with brain tissue and mice, but now I find myself spending most of my day programming, running simulations, and working with equations. I'm not sure why, but I find [[:Category:Diffusion|diffusion]] quite interesting. [[:Category:Diffusion|Stochastic diffusion]], like that in [[:Category:Diffusion|Brownian motion]], is a pure actuation of the basic properties of [[:Category:Statistics|statistics]]. Given that synaptic potentiation is directly mediated by stochastic diffusion and synaptic capture of receptors, it seem that neurons have evolved into innate statistical computers. The result of 100 billion of these statistical computers making 100 trillion connections is the human brain.
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| * [[:Category:Diffusion|MY NOTES ON MODELING DIFFUSION]] | | * [https://www.mediawiki.org/wiki/Extension:Semantic_Forms/Linking_to_forms#Using_.23formlink Extension:Semantic_Forms] |
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| | * [https://www.mediawiki.org/wiki/Extension:Popups#Show.2Fhide_timing Extension:Popups] |
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| {{Box|width=45%|float=right|font-size=14px|[[:Category:ReDiClus|Computational Modeling]]|[[File:Neuralinformatics.gif|right|link=ReDiClus]] | | {{Box|width=48%|font-size=14px|[[Diffusion|Molecular Diffusion]]| |
| 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.
| | Over the last year my escapades and capers have been primarily directed at the study of synaptic potentiation from a neurodynamics perspective. Currently, I'm examining the membrane [[:Category:Diffusion|diffusion]] of neurotransmitter receptors and modeling how these particles swarm and potentiate synapses. It has been an interesting transition into these topics - prior to these projects I worked primarily with brain tissue and mice, but now I find myself spending most of my day programming, running simulations, and working with equations. I'm not sure why, but I find [[:Category:Diffusion|diffusion]] quite interesting. [[:Category:Diffusion|Stochastic diffusion]], like that in [[:Category:Diffusion|Brownian motion]], is a pure actuation of the basic properties of [[:Category:Statistics|statistics]]. Given that synaptic potentiation is directly mediated by stochastic diffusion and synaptic capture of receptors, it seem that neurons have evolved into innate statistical computers. The result of 100 billion of these statistical computers making 100 trillion connections is the human brain. |
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| {{Box|width=48%|font-size=14px|[[Connectome|Brain Functional Connectome Project]]|
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| A [[connectome]] is a comprehensive map of the neural networks within the [[brain]]. It details the [http://en.wikipedia.org/wiki/Efferent_nerve_fiber efferent] and afferent pathways within and between [[brain]] regions. Functional Connectivity refers to the function of a particular [[brain]] region and its information processing role within a distributed neural network. The goal of this project is to create a platform where users can jump into the [[connectome]] at any given [[brain]] region and visually navigate to upstream and downstream regions; along the way, users can learn about the functional role of each [[brain]] region. All information has been collected from empirical sources and scientific databases, in particular, the [http://atlas.brain-map.org Allan Brain Atlas].
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| | * [[:Category:Diffusion|MY NOTES ON MODELING DIFFUSION]] |
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| {{Box|width=45%|float=right|font-size=14px|[[Brain Molecular Pathways|Brain Molecular Pathways Project]]|
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| 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).
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| [[File:Molecular-pathway8.gif]]
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| {{Box|width=48%|Welcome to the official wiki of Brad Monk|
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| [[Hello]] and welcome to [[User:Monakhos|my wiki]]. This is where I stash random information and have every intention of linking it all together someday. I'm not sure why you're here.. maybe trying to find one of my other wiki projects '''[http://onesci.com OneSci Science News]''' or '''[http://ucsd.onesci.com UCSD Psych Grad wiki]'''? If you are so inclined, recent additions to this wiki can be found in the box on the right. For a non-curated glimpse of my activity you can check out the [[Special:RecentChanges|latest wiki updates]]. Older wiki [[content]] can be accessed using the <nowiki>[search box]</nowiki> or perusing [[Special:AllPages| all pages]]. If you would like to contact me, you can find this info on [http://bradleymonk.com my home page].
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