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Donald Hebb originally formulated what would later come to be known as spike-time dependent plasticity by famously stating "neurons that fire together wire together". In actuality, the firing has to be sequential (not simultaneous) and causal: if a neuron A fires and causes B to consequently fire, the synaptic strength between them increases. This is how the ...


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I think the major reason is inertia, in the sense that many labs use Matlab, so many Matlab toolboxes are available, so many labs train people in the use of Matlab... However, as a trained software engineer turned Neuroscientist who has been programming in various languages for close to 30 years, there are several reasons why I actually enjoy using Matlab. ...


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It is highly variable, depending on the strength and placement of the synapse (which in turn depends on synapse activity and how often the two neurons fire together, among other things). The wikipedia page here is a pretty good place to start, or if you want more detail on how that pulls together in an actual system, this paper is a good place to start.


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There is a basic epistemological problem here that was only touched upon by Chuck Sherrington - everyone is making the assumption that the brain processes the same kind of information as a digital computer. There is no real evidence to suggest that it does, in fact. A digital computer is an instantiation of a Turing machine, which is equivalent to certain ...


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I completely agree with most the factors you've identified, but before I suggest some additional points, I'd like to correct one of yours: file formats that can only be read in MATLAB Unless you're talking about some obscure format that I'm unaware of (entirely possible!), MATLAB files are readable by non-MATLAB tools. In particular, scipy.io provides ...


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Donald Hebb's postulate only applies when two neurons are already connected. It seems you are asking more specifically, 'when two neurons are not already connected and they want to connect, how and why?' Correct? In this case, we do not know. StrangeLoop mentions it is due to the location of the neurons and the spreading of activation. Yes these might be ...


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::: It seems like you're trying to get to the root cause as either organic or functional? Maybe a bit of both. They jury will forever be out thus we have the stress-diathesis model for comfort. Here is some interesting discussion on the norm-referencing in assessment of manic behavior such as hypersexuality and the implications of various factors like ...


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has made it possible to have perfect input/output to the brain from a computer Perfect? Definitely not: the complexities of optogenetics of a single mm square of cortex, of a mouse lets say, are extremely complex. As Chuck mentions, many neurons/synapses may be activated by a single LASER and current technologies allow only a few different LASER ...


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The following comes from my research experience using fMRI to study the human visual system. Overall, peoples brains are similar to each other on higher scales, and become very different from each other as the scale becomes smaller. Differences between different people start with brain size and sulci patterns. Also male and female brain anatomies will be ...


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With regard to the body perception question, I hope you have read this (doi: 10.1073/pnas.1321664111)


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There is no such universally accepted model. It seems to me that this a specific instance of the hard problem: how can matter have a subjective experience at all? Of course we know positive experience is associated with dopaminergic action, and often the mechanism has the evolutionary function of surviving and reproducing... and we can argue the same for ...


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First at all, the connectome must be interpreted like a static picture of the brain. So anything related with plasticity and dynamical processes will be lost in this map. There are connectome at macroscopic areas using fNMR but I'm going to focus in the cellular level. We can define three types: Dense Connectome - It is the classical idea of connectome ...


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Very detailed estimates for almost all of your points, for cat, can be found in Binzegger, T., Douglas, R. J., & Martin, K. A. C. (2004). A quantitative map of the circuit of cat primary cortex. Journal of Neuroscience, 24(39), 8441-8453.



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