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Bradley Monk (talk | contribs) mNo edit summary |
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Molecular-level synaptic plasticity is among my primary interests. I've studied and quantified membrane [[:Category:Diffusion|diffusion]] properties of excitatory and inhibitory receptors, and have developed models how these particles swarm to potentiate synapses. I find stochastic particle diffusion is intertwined with the first principles of [[:Category:Statistics|statistics and probability]]. Given that synaptic potentiation is dependent on marshalling receptors undergoing stochastic diffusion, 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. Here are some of my [[:Category:Diffusion|notes and code for simulating membrane diffusion.]] | Molecular-level synaptic plasticity is among my primary interests. I've studied and quantified membrane [[:Category:Diffusion|diffusion]] properties of excitatory and inhibitory receptors, and have developed models how these particles swarm to potentiate synapses. I find stochastic particle diffusion is intertwined with the first principles of [[:Category:Statistics|statistics and probability]]. Given that synaptic potentiation is dependent on marshalling receptors undergoing stochastic diffusion, 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. Here are some of my [[:Category:Diffusion|notes and code for simulating membrane diffusion.]] | ||
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[[File: | [[File:Brownian-Diffusion.gif|350px|center]] | ||
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