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11 votes
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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 ...
Seanny123's user avatar
  • 8,853
8 votes

Differential equations in psychology

The Hodgkin and Huxley model of neuronal firing is based on non-linear differential equations. A significant portion of research on sensation and perception is based on such models.
StrongBad's user avatar
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7 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 "...
John K. Kruschke's user avatar
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, ...
AliceD's user avatar
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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 ...
Dylan Richard Muir's user avatar
6 votes
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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-...
5 votes
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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 ...
Seanny123's user avatar
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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). ...
Jeromy Anglim's user avatar
5 votes
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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 ...
got trolled too much this week's user avatar
5 votes
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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, ...
Bryan Krause's user avatar
  • 7,481
4 votes

Differential equations in psychology

A large and notable area within psychology to which differential equations are central is dynamical systems theory. It is widely applied to cognitive science. Differential equations are used to ...
huh's user avatar
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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 ...
awakenting's user avatar
4 votes
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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 ...
PhiloT's user avatar
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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 "...
Bryan Krause's user avatar
  • 7,481
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: ...
Martino's user avatar
  • 186
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 ...
steveLangsford's user avatar
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. (...
Alexander Telfar's user avatar
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 ...
Abraham Nunes's user avatar
3 votes

What is a good example of a psychological theory that became formalized into neural and computational terms?

I have one particular area to offer as a potential example. Keep in mind that likely no formalization of psychological concepts has heretofore been comprehensive (and the utility of a comprehensive "...
Abraham Nunes's user avatar
3 votes
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Do STDP synapses potentiate AND depress at the same time?

I can't make comments yet, so in the following I will assume that by 'STDP synapse' you mean the model of a synapse using the STDP rule. The scenario that you are describing is a triplet experiment ...
awakenting's user avatar
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 ...
Arnon Weinberg's user avatar
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3 votes
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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 ...
lucianopaz's user avatar
3 votes
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What is the most unified functional model of the hippocampus?

I myself have not come across a complete end-to-end hippocampal model, but I would imagine that such an implementation would be quite broad in scope. Edmund Rolls has some nice papers on the ...
Abraham Nunes's user avatar
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 ...
Ailton Andrade de Oliveira's user avatar
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 ...
steveLangsford's user avatar
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/
StrongBad's user avatar
  • 2,633
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 ...
julix's user avatar
  • 53
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 ...
Benjamin Latimer's user avatar
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: ...
duodenum's user avatar

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