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A true classic -- the Configural-Cue model -- uses the Rescorla-Wagner rule to learn associations between cues and outcomes. Link1 Link2 Link3 In my view this is one of the most straightforward (i.e., simplest) models of conditioning, likely a good starting point for you.


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As explained in the NEF book, all non-linear dynamical systems can be represented in the NEF. The SPA is simply applying semantic meaning and manipulations to the vectors represented by the NEF. The two most prominent examples of this are the motor system and the inference system in Spaun, which are shown in the aforementioned "rapid variable creation" ...


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More than two years later, I now have a heuristic (which is a close as I can get to an objective metric) that I rely on. As I write about in one of my blog posts, there are a couple of tasks that humans are capable of that are still really hard for machines. They require the following things for a machine (or a neural model): Balancing Planning and ...


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According to "Tightly coupled brain activity and cerebral ATP metabolic rate" which is summarised in the Scientific American article "Why Does the Brain Need So Much Power?", conscious computation accounts for 50% of the brain's power consumption. From the Scientific American article: Chen and his colleagues used MRS specifically to track the rate of ...


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As far as I know, it is not possible for a neuron to change which type of neurotransmitter it releases. However, it is the case that the neurotransmitter GABA changes from excitatory to inhibitory over the course of development. This is occurs because GABA activates Cl- (chloride) channels. The chloride concentration gradient across the cell membrane ...



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