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As per the comments to the question, human research observing this distinction does exist. CHCH possibly alludes to an article by Gläscher, Daw, Dayan and O'Doherty (2010) which concisely defines the difference between model-free learning and model-based learning: Reinforcement learning (RL) uses sequential experience with situations (“states”) and ...


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A google search for neural network library will return many relevant pages, with neural network libraries written in several programming languages. You could also look for tutorials on programming perceptrons which are among the most basic neural networks. This would teach you how to actually program the network from scratch, instead of using a pre-made ...


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A human brain recognises letters by their constituent features (sub-letter parts). It is modelized by a pandemonium model where printed information is extracted locally then globally. In the letter recognition literature, this type of feature-based hierarchical model competes with template matching theories (with an advantage to the pandemonium-like models ...


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Cognitive Architectures The description most closely matches the concept of a cognitive architecture. Whereas I would say most empirical cognitive science focuses on isolating cognitive functions or behavioral substrates, cognitive architectures are relatively unique because they attempt to run bottom-up simulations of interdependent sets of cognitive ...


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Short answer: We don't know. Long answer: There are a few major lines of thinking on the subject currently. Cognitive closure: One common argument is that this question is simply not answerable - at least not by humans. By this view, it is possible that the creation of an artificial intelligence that even resembles humans sufficiently to suggest ...


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I feel that the label of consciousness is merely a semantic distinction that belongs to the realm of philosophy, not neuropsychology. Like Noam Chomsky mentioned in one of his talks hosted by Lawrence Krauss - we could also ask ourselves whether animals (e.g. dogs) are conscious. I'm not exactly sure, he mentioned that birds are said to "fly" in Enlgish but ...


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I find this detail a little confusing when we learn spike-timing-dependent plasticity for example. In the original spike timing dependent plasticity work by Bi and Poo (1998), the focus is best understood as on single spikes at a time. This is because their protocol was to provide repeated stimulations of both pre- and post-synaptic neurons, each ...


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Not sure I understand your question correctly. What is it you can't find anywhere? I would comment and ask for clarification, but that requires 50 rep which I don't have in this community. Just tell me if my reply doesn't answer your question and I'll update. There are two basic ways to describe neurons' firing. One is rate-based and the other is ...


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There are many advanced tutorials which would suit someone with a computer science background, but if you are interested in the connection between neural networks and psychology/cognitive science then these two volumes are very accessible and give enough details to start coding your own networks: Parallel Distributed Processing, Volume 1 Explorations in the ...


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Here is a free, entry-level e-book.


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Take this course at Udacity. From my experience the course quality there is high and will save you a great deal of research time. You can also try https://www.coursera.org/course/neuralnets. Usually courses are coursera are of a great quality. The bottom line is take a MOOC first.


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This question has perplexed me for quite a while now. The problem with declaring an artificially intelligent machine 'conscious' is the very definition of consciousness. A quick google search for the definition for 'consciousness' returns 'the state of being awake and aware of one's surroundings'. This definition in my opinion is too vague to be extendable ...


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I have seen - and enjoyed! - the movie last week-end and asked myself the same question. Let's face it, we are so far from being able to transfer knowledge from one human being to a machine with the help of a "mind-reader". The main point is that we don't have a useful brain signal to read from (the ones we know have structural limits). No good brain ...



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