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The Computational Theory of Mind is not that the mind does some form of computation in the wide sense of computation. Rather, look at the examples for the CToM given in the Wikipedia article; people like Fodor, Pinker, Marr. Their view is very much the opposite to the Connectionist position of West Coast scientists like Rumelhart, Elman and McClelland. Both ...


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I don't think there's any evidence suggesting that mindfulness or meditation are the opposite of self-regulation. In arguing why, it'll be useful to define terms. Meditation and mindfulness First off, meditation and mindfulness are not the same thing. Meditation generally refers to a family of practices for investigating or inducing different states of ...


3

Mirror neurons are actually quite a contentious area in cogsci. The debate is most certainly not settled as to what role they play, and whether they even exist, in humans. In short though, my argument would be that there are no specific awareness related mirror neurons in the brain because mirror neurons themselves are awareness. Again, this is an extremely ...


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SPA is used (among other things) for combining (binding) and extracting (unbinding) knowledge representations for processing. This is a (purposely) lossy compression. In the "Learning Rule Generation for Induction" case, the clean-up memory is used to convert a general transformation that is being learned (lots of different transformations convolved ...


3

Both the Amsterdam University (UvA) and Radboud University use a public online system for applying for participation in experiments. I forget which system UvA uses, but Radboud uses the sona system (just google it, you can creat an account). There you can see ongoing studies and apply for experiments. Both these cities are big research hubs for neuroimaging. ...


3

There's a huge amount of perspectives you could take in answering a question like this, but I would like to approach it from the perspective of dual process theories (see the Evans, 2008 Annual Review paper for an outline). I'm not going to reference this answer much beyond that, because almost all the information is adapted from this review, with some ...


3

There are several approaches to theoretical neuroscience. I am currently taking the physics/mathematics approach: modelling the currents in neurons and coupling several neurons together through differential equations. In Computer Science, the tendency is more towards machine learning: Bayesian statistics, artificial neural networks, signal processing, ...


2

I would disagree with @Krysta: the distinction between system 1 and system 2 processes goes far beyond that of cognition with/without emotion: it's a complex debates that's been going on since the 70s (in it's current form, it's echoed in a wider debate going back centuries). For the sake of brevity, let me resort to bullet points. For psychologists, Evans ...


2

The term I was looking for is "concurrent activities". Some research in the domain of hierarchical learning has been done in this domain by Rohanimanesh and Mahadevan. According to this literature review on hierarchical learning, basically what they did was determine how multiple tasks can be managed without interfering with one another and how they should ...


2

Your question is a bit vague, but it sounds like you might be looking for Hick's Law. Hick's law states the relationship between the number of possible responses that an organism can provide for a given task and the minimum time necessary to engage a response. You may have also been thinking of one of the computational models for two-alternative ...


2

With regard to emotions, it may be more useful to think about things in terms of interoception and attention. Interoception involves awareness of one's inner bodily sensations (e.g., pleasantness/unpleasantness, high/low arousal; Craig, 2002), and we can (rapidly) direct our attention to shifts in these sensations. Changes in our inner physiological ...


1

Amos (2000) and Monchi et al. (2000) use similar approaches. Although their models are biologically plausible and make many neuroanatomical predictions, they are functionally implausible. Their networks are created for the unique purpose of of completing the WCST. This type of specialisation isn't found in the brain as far as I know. I'm also having a really ...


1

Interesting question! A related phenomenon called the illusion of explanatory depth (IOED) suggests that the human cognitive system has a systematic weakness in this kind of evaluation--I believe the classic example is asking people if they know how a helicopter works (most people say yes), and then asking them to explain how a helicopter works (very few ...


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Here is the illustrate of both equation To make them visible at same time, I changed 100 to 1 and set memory strength as 1. They look alike.


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It's unclear if the idea of 'translation' from one personality framework to another is a meaningful concept. A score on any given personality factor represents some weighted combination of measures - usually endorsement of questionnaire items like "I am the life of the party", etc. As such, every factor score is a unique variable that probably doesn't ...


1

The Neurological Engineering Framework does not explicitly state a mechanism for memory. There is no "hard-drive" in the brain for easy retrieval and access. Rather, memory is captured in the connection weights between neural populations and the dynamics of the network. In the Hierarchical Reinforcement Learning example, linked to in the previous question, ...


1

Neuroanatomically speaking I think Kahneman may be talking about the "hot" and "cold" executive function pathways (this wikipedia article is fairly informative on the subject). Hot executive function is thought to involve affect or reward processing, and the ventromedial prefrontal cortex is generally thought to be crucial for this. Cold executive function ...


1

Hi there had the same problem but i found the original report: Wickens, C. D., Helleberg, J., Goh, J., Xu, X., & Horrey, W. J. (2001). Pilot Task Management: Testing an Attentional Expected Value Model of Visual Scanning (Technical Report No. ARL-01-14/NASA-01-7). NASA Ames Research Center. Retrieved from ...



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