can someone please help me with the flux capacitor proof?
i can get as far as saying that M = Vdt/CdV
where M = memristance, V = voltage, C = capacitance
Although we have the wiring diagram for a single c. elegans, we do not have a realistic model for how it crawls (or associatively learns to avoid pain, or seek food for that matter). Right now, one might come up with models and potential functions based on the efficiency of certain wirings (w/ exceptions being the more interesting as usual) - but really, we should be optimizing for the ability to crawl. Once we physically understand how the worm crawls (which we do not understand), we still have to optimize the nanoscopic spatial distribution of voltage sensitive and insensitive ion channels, plasticity machinery (with whatever learning rules come along with them), membrane capacitance, resistivity, the distribution/dynamics of these parameters through time, etc, etc etc. And to top it all off, the ionic conductance levels are all noisy, and are not (even in the simple worm) consistent from class of neuron to class of neuron or from animal to animal. When we study such a "simple"system", what is the question we that we are trying to answer anyway? Are we asking what the actual solution is, or are we asking what is the set of possible solutions?
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can someone please help me with the flux capacitor proof? i can get as far as saying that M = Vdt/CdV where M = memristance, V = voltage, C = capacitance
Although we have the wiring diagram for a single c. elegans, we do not have a realistic model for how it crawls (or associatively learns to avoid pain, or seek food for that matter). Right now, one might come up with models and potential functions based on the efficiency of certain wirings (w/ exceptions being the more interesting as usual) - but really, we should be optimizing for the ability to crawl. Once we physically understand how the worm crawls (which we do not understand), we still have to optimize the nanoscopic spatial distribution of voltage sensitive and insensitive ion channels, plasticity machinery (with whatever learning rules come along with them), membrane capacitance, resistivity, the distribution/dynamics of these parameters through time, etc, etc etc. And to top it all off, the ionic conductance levels are all noisy, and are not (even in the simple worm) consistent from class of neuron to class of neuron or from animal to animal. When we study such a "simple"system", what is the question we that we are trying to answer anyway? Are we asking what the actual solution is, or are we asking what is the set of possible solutions?