11
votes
Accepted
Is back-prop biologically plausible?
Biological Plausibility of Back-Prop
No, the algorithm of back-prop (BP) isn't biologically plausible. However, there are other means which involve propagating the error through multiple layers of ...
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7
votes
What is the computational role of the cortical column?
Cortical columns are groups of neurons in the brain that are oriented perpendicularly to the cortical surface. Cells within a column respond to the same stimulus property (Fig. 1). For example, ...
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7
votes
Accepted
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
Accepted
The computer model of the brain
This question's reference to a classical computer refers to a "Turing Machine" style of computation, also known as a knowledge system, in which decisions and possible results are pre-...
6
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 ...
5
votes
Accepted
Are ACT-R and Spaun the state of the art in cognitive science computational models?
There are TONS of other Cognitive Models being researched. Specifically, see this giant comprehensive list of Cognitive Models [1]. Given such a wide array of models, it might be more helpful to focus ...
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5
votes
Accepted
Parallel arrangement of capacitor and resistor in leaky integrate-and-fire model
I see your confusion is caused by $u_{rest}$. Indeed that diagram is somewhat confusing because $u_{rest}$ is not the main source relative to which to consider the topology of the circuit. The main ...
5
votes
What are good introductory books on mathematical psychology?
I also like https://bayesmodels.com/.
I posted the question on twitter, you could check out the responses.
Joachim Vandekerckhove suggested:
Lewandowsky, S., & Farrell, S. (2010). ...
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5
votes
Accepted
Are there animals with only excitatory neurons?
Not in any well-studied animal; for example, C. elegans certainly has both excitatory and inhibitory neurons. Even in animals with very simple and poorly understood nervous systems (for example, ...
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4
votes
What are some credible conferences and journals in computational neuroscience?
Adding to what was already mentioned, there are several "Frontiers" journals:
Frontiers in Neuroscience
Frontiers in Neural Circuits
Frontiers in Computational Neuroscience
Frontiers in Synaptic ...
- 517
4
votes
Accepted
What extent is non linear dynamics and chaos helpful to study brain function?
Since this an active and relatively new area of research, nobody can tell you for certain where it will lead.
Whether it will "dead end" is perhaps the wrong way to think about it too. All lines of ...
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4
votes
How are the outputs of neurons encoded, if at all?
The concept of digital channels of information flow is a serial-processing biased view of information: it applies a lot to serial systems like computers (which are still serial even with multiple "...
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4
votes
ML/Neuroscience: TensorFlow vs PyTorch vs Keras for bulding NN models of the nervous system?
If you're looking at computational models of actual neurons and biological neural networks, there are a number of tools out there which are specifically for the purpose. The most commonly used are:
...
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4
votes
Explaining mathematically why most people chose 7 when asked to chose a number between 1-10
This is a really fun problem! Intuitively, the numbers all have latent features (isEven, isPrime, etc), so they live in a richly structured space. So far so good, but the (typical) structure of that ...
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3
votes
What are good introductory books on mathematical psychology?
I really like https://bayesmodels.com/
There's also a lot of fun you can have at http://probmods.org/ that feeds into a bunch of current cognitive modeling work, see also http://agentmodels.org/
You ...
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3
votes
What are good introductory books on mathematical psychology?
I hold a Bachelor's in Applied Mathematics and, for my Master's in Neuroscience, I have used mainly the classic one from Kandel Principles of Neural Science. With regard to Mathematical Psychology I ...
3
votes
How can machine possibly possess consciousness if computation is a human idea?
Short answer: This is formally known as the hard problem of consciousness - if you can figure it out, then you'll probably win a Nobel Prize:
The hard problem of consciousness is the problem of ...
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3
votes
Accepted
What is "Predictive Reverse Engineering" and how can it be used for understanding brain structure?
I am unfamiliar with the term "Predictive Reverse Engineering" but your question seemed very interesting. Informally speaking, "Predictive Reverse Engineering" seems to denote trying to reverse ...
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3
votes
Is back-prop biologically plausible?
I don't know much about this, but here goes anyway.
I heard that the reason backprop isnt biologically plausible is that it requires global control/coordination for the propagation of the gradients. (...
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3
votes
Accepted
Best way to modeling ADHD?
The approach you would take will depend upon your level of analysis. For instance, one could choose to model an entire individual's behaviour (i.e. with heuristic models), the activity of neural ...
- 301
3
votes
Simulating Hudgkin Huxley neural network
I am old and my experience with this area is 20 years out of date, but I would still go with https://neuron.yale.edu/neuron/
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3
votes
ML/Neuroscience: TensorFlow vs PyTorch vs Keras for bulding NN models of the nervous system?
If you want to build a neural network as a biological simulation, maybe none of these are the best options, since they are more suitable for deep neural networks. If you want to mimic synapses using ...
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3
votes
How do I find Computer Science-Focused Cognitive Science Labs for Research?
The field you're talking about is probably computational neuroscience. In general, the advice I would give is that the department you are in doesn't much matter. There are people who study ...
3
votes
Are there any standard tools for neuroscience models programming, like for spiking neural networks?
Brian2 is a great tool in python for spiking neural networks: https://brian2.readthedocs.io/en/stable/
NEURON might feel a bit old and clunky but if you want more biophysical detail, it is great: ...
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2
votes
Does Computer science has any role to play in Cognitive science?
Yes. Computer science is one of central disciplines of cognitive science. In fact, the dominant, central dogma of modern (i.e., the last 50 years) cognitive science is that cognition is computation. ...
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2
votes
Increasing pitch perception of the same auditory stimuli
Ignoring your pictures for a second, it sounds like what you are referring to is pitch circularity. Diana Deutsch was a pioneer in this area. The key is that generating these sounds is tricky and that ...
- 2,633
2
votes
Is cortical magnification in the visual system related to synaptic pruning, or is it a separate developmental or learning process?
No, it's not due to synaptic pruning. If it were due to synaptic pruning babies would have better vision(esp. Peripheral) but that is not the case. Babies only have better hearing.
No, it is not ...
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2
votes
What are some credible conferences and journals in computational neuroscience?
I am not an expert on AI, but Cognitive Sciences at Indiana University lists the following journals that cover your topic. The journals look credible, as they are published by Elsevier and MIT, both ...
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2
votes
How can I visualize DTI tractography streamlines generated from FSL's probtrackX in 3D?
I must say I am not an expert, but the following sources look helpful:
Gao et al. (2013) write
The voxel value in the resulting dataset represents the number of
streamline samples passing ...
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