13 votes

What is the relation between measures, constructs and concepts?

In speaking to constructs vs. measures, I believe that the difference is clear and implied in your background: constructs are that which cannot be directly measured (but we assume exists), where ...
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  • 1,263
10 votes
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Why aren't Connectionism and Dynamicism considered part of the Computational Theory of the Mind?

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 ...
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  • 2,414
10 votes

What is the relation between measures, constructs and concepts?

Apologies in advance for the long answer. I tried to narrow down the scope by focusing on only a single construct, and only a single aspect of validity, and it still turned out like an essay... Let'...
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9 votes
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Can a brain be modeled as a simplified interaction of different states and their triggers?

My answer is probably a weird hodgepodge of sometimes poorly explained stuff, but hopefully it's coherent enough :P For many decades in psychology, we've had a mechanistic stimulus-organism-response ...
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  • 4,256
8 votes
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Are there any theories suggesting mindfulness is the opposite mental state to self-regulation?

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, ...
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8 votes
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What is the ACT-R model of learning?

ACT-R can best be summarized with this (tiny but more recent) graph: ACT-R is a cognitive architecture that tries to explain as much of human behavior as possible with as little rules as possible. It ...
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7 votes
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Is there a neural network model of Pavlovian Learning?

In general, what you're looking for is a biologically plausible model of reinforcement learning and/or conditioning. I know of two publications in particular that address this. The first is A ...
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  • 8,783
7 votes
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Is there a reasonable scientific backing for Carl Jung's type theories?

It appears that there is little scientific backing for Jung's theories. As these theories were first suggested at the start of the 20th century they have had a considerable amount of time to receive ...
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7 votes
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How to interpret neuron spiking models one comes across in literature?

Read dayan and abbot "theoretical neuroscience" Learn differential equations Know the relationship between voltage, current, resistance and conductance Differential equations is absolutely essential ...
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  • 1,835
6 votes
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What is the basis behind the idea of Dom-Tert loops in Jung Function Theory?

Has dom-ter loops theory been expressed formally in any kind of Jungian function theory study? Based on a reasonably diverse search of Google Scholar, Web of Science and Scopus, I am concluding that ...
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6 votes
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'Model-free' learning in humans

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 ...
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6 votes

The "Backwards Bike" and implications for how we think

While both prism adaptation and negative transfer are pointers to the right direction, I'd see this as a question concerning brain plasticity (you may want to tag the question with that, I don't have ...
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  • 435
6 votes

What is the scientific definition of Introversion/Extroversion?

I totally agree. These words have become colloquial and have lost much of their meaning - and are therefore increasingly less helpful. Introversion is confused with shyness and sensitivity, while ...
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6 votes
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Why Bayesian Cognitive Modeling?

Here's a quick answer from general background knowledge, not from any specific knowledge of "Bayesian Program Synthesis (BPS)" In general, Bayesian models can use strongly informed priors or diffuse "...
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6 votes

How does the neocortex distinguish between perception and imagination?

Short answer Perception and imagination in the visual system use pretty much the same neural machinery, but in opposite directions - perception goes bottom-up, from the periphery to the central ...
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5 votes

Is there an R implementation of the linear ballistic accumulator model or Ratcliff's diffusion model for measuring response time and accuracy?

The R package diffIRT (http://www.dylanmolenaar.nl/jss1265.pdf) estimates both the Q and the D diffusion models (see his website for the van der Maas et al. paper discussing the differences between ...
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5 votes
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How does the brain know whether or not it comprehends a novel concept?

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 ...
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  • 2,903
5 votes
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Biologically plausible cognitive model of Wisconsin card sorting task

Amos (2000) and Monchi et al. (2000) use the similar approach of assigning each card attribute to a node and using mutual inhibition to choose the right one. Although their models are biologically ...
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  • 8,783
5 votes

How to get anatomical masks?

I'm a TMS, but not an fMRI, researcher but I have experience using anatomical masks. I can guide you through the steps to make an anatomical mask, but unfortunately I don't have any code to offer you. ...
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5 votes
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Empirical proof for social network models

Existing Papers I found three papers in the same vein with considerably more empirical evidence. 1. Modeling the Size of Wars In the paper, provinces and conflicts are modeled to justify Richardson's ...
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  • 8,783
5 votes
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In ACT-R difference between declarative and working memory

This article explains the difference : Declarative memory takes the form of a semantic net linking propositions, images, and sequences by associations. The nodes of long-term memory all have ...
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5 votes

How does the brain structure 3D visual data?

This question cannot be answered in the form in which you asked it both because of the limits of current neuroscientific theories and methodologies when it comes to determining the structures of ...
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5 votes

How often are complex networks and graph theory useful in computational neuroscience?

In my opinion as a computational neuroscience researcher, graph theory has not made major inroads into computational neuroscience because we don't have good evidence for what graphs characterise ...
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5 votes

Does the split brain disprove a materialistic mind?

The question title reads: Does the split brain disprove a materialistic mind? The simple answer being no, nothing disproves that - the brain harbors the mind e.g., (Lilienfeld & Arkowitz, 2008). ...
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4 votes
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How do humans learn to combine tasks?

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 ...
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  • 8,783
4 votes

Getting analysis of changes in MY brain upon cannabis consumption

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 (...
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  • 2,563
4 votes

Is the theory of Information Metabolism a reasonable scientific theory?

Is the theory of Information Metabolism a reasonable scientific theory? Short answer: No. A literature search of Google Scholar and Web of Science for "information metabolism" finds no empirical ...
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4 votes
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What's the function of the clean-up memory in SPA?

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 ...
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