New answers tagged neural-network
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.
Disclaimer: Quantifying the capacity of the human brain is quiet complex as you might imagine. And although in cognitive neuroscience we often compare the brain to computers this is not an exact comparison, in many ways the brain is far more complicated and encodes information in a very different way than the comparison of CPU processors and hard-drives. The ...
Convolution is a technical term, and comes from the signal processing field. Unfortunately, it is easily confused with "convoluting". Effectively, "to convolve" means to pick a small "window", slide it across your signal, and compute the same function for each step. In CNNs, when applied to classifying, for example images, it means taking a small window, of ...
In short no. The speed at which and Action Potential (AP) occurs, resting membrane potential, and threshold to AP all vary across types of neutron. See the graph below (Bean, 2007) The reasons for these differences are various, as you will see if you read the referenced article, which I highly recommend as everything I write from here is based upon it. ...
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