All Questions
Tagged with cognitive-neuroscience computational-modeling
18
questions
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0
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32
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Testing Multilayer Perceptron [closed]
The following script is from Trappenberg's Fundamentals of Computational Neuroscience and is used to test a perceptron's robustness against noise.
However, how would one alter it to test the output ...
- 121
2
votes
0
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344
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Noise ceiling estimate is lower than model prediction in RSA?
I am using representational similarity analyses (RSA) to compare models to some fMRI data. As part of this analysis I have computed noise ceilings for each of my regions of interest (ROIs). What's ...
- 121
0
votes
1
answer
78
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Do people still use ACT-R?
A lot of computational cognitive scientists seem to be working on Neural nets (mostly vision scientists), Reinforcement learning (mostly decision making people) and Bayesian Inferences. I could hardly ...
3
votes
1
answer
157
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What extent is non linear dynamics and chaos helpful to study brain function?
Recently I've started reading dynamical systems in neuroscience by izhikevich and was fascinated by the subject. I would like to pursue PhD in computational neuroscience after my masters. Is it worth ...
- 33
3
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1
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565
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What is the computational role of the cortical column?
The cortex is supposedly composed of semi uniform cortical columns that are interlinked. Many of the resources on cortical columns I found using a Google search do not discuss what a column computes (...
- 31
4
votes
2
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522
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How often are complex networks and graph theory useful in computational neuroscience?
Complex networks and graph theory seem like they would be important for computational neuroscience, but they don't come up in the literature as often as I would expect. I'm wondering how frequently ...
1
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0
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198
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Which is more important for computational neuroscience: differential equations or linear algebra? [closed]
I know that they are both used in computational neuroscience. However, I am trying to optimize my studying, so it might be useful to know which to focus more time upon, at least in the beginning.
0
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1
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2k
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Does Computer science has any role to play in Cognitive science? [closed]
Does Computer science(or computationalism) has any role to play in Cognitive science or Creativity studies?
3
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2
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3k
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What's the difference between computational neuroscience and systems neuroscience?
I'm an engineer, interested in mental machinery, to imitate cognitive capabilities of the human mind into primitive artificial models. In this case, cognitive neuroscience (CogN) is something, ...
user13286
3
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0
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55
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Is there any study about the impact on the continuous use of predictive keyboard by neurologically and psychologically health individuals?
As there is evidence of massive-scale emotional contagion through social networks, I'd like to know if any study has been made regarding predictive keyboards.
Given the popularity of predictive ...
- 131
1
vote
1
answer
54
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Do gating mechanisms in the neocortex have individual degrees for all gated connections?
For example, the upward connection between layers in the neocortex flows through the thalamus which is assumed to have a gating function.
I wonder whether there is a single value per gate, ...
- 771
7
votes
1
answer
159
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Increasing pitch perception of the same auditory stimuli
I was trying to work up a small clip of repeating beep sounds I recorded from a mobile game. This series of sounds, when played, gave an unmistakable perception of increasing pitch with every ...
- 171
8
votes
2
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110
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Biologically plausible cognitive model of Wisconsin card sorting task
As discussed previously, there are a wide range of models that have been applied to the Wisconsin card sorting task. However, which one is most biologically plausible? That is, uses a realistic model ...
- 8,853
5
votes
0
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62
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Research on computational models of physiological mechanisms in affective neuroscience at a biochemical level
As computational neuroscience has the mainstream on single neuron/network modelling for biochemical aspect, and computational modelling of physiological mechanism of hippocampus for analytic study of ...
- 439
5
votes
1
answer
101
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How does hPES compare to the learning rates of ANNs?
The primary learning mechanism of artificial neural networks (ANN) is back-propagation, which is not biologically plausible [2].
Trevor Berkolay created an alternative to this learning with the ...
- 8,853