Questions tagged [computational-modeling]

For questions about modeling processes from cognitive and neurobiological theories via algorithms and computer simulations, and also about confirming experimental results with theoretical/statistical constructs.

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The computer model of the brain

I am a computer programmer or computer engineer, and am interested in comparing the brain to a classical computer in some way. How well does this comparison hold up? This is a general introduction ...
Arnon Weinberg's user avatar
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19 votes
3 answers
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Is back-prop biologically plausible?

One of the common criticisms of Deep Learning is it's training algorithms, back-propagation of error (back-prop), has no biologically plausible implementation, despite evidence of something like it ...
Seanny123's user avatar
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27 votes
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What are some of the drawbacks to probabilistic models of cognition?

Probabilistic approaches to modelling cognition are increasing in popularity and being encouraged within the field (Chater, Tanenbaum, & Yuille, 2006). What are some of the arguments against or ...
Vielle's user avatar
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15 votes
2 answers
444 views

References for biologically plausible models of knowledge representation?

I'm looking for references that deal with the issue of how various kinds of semantic knowledge are (or might be) represented neurally. Most of the discussion of this topic seems skewed by social ...
shanusmagnus's user avatar
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34 votes
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Neural networks with biologically plausible accounts of neurogenesis

One of the reasons artificial neural net algorithms like cascade correlation (pdf) have been generating interest is because they start with a minimal topology (just input and output unit) and recruit ...
Artem Kaznatcheev's user avatar
23 votes
2 answers
2k views

Applications of computational learning theory in the cognitive sciences

Computational learning theory (CoLT) is a branch of theoretical computer science associated with the mathematical analysis of machine learning. A lot of the early ideas of the field take inspiration ...
Artem Kaznatcheev's user avatar
5 votes
3 answers
434 views

How can machine possibly possess consciousness if computation is a human idea?

Suppose a computer simulates a human brain so that it passes the Turing test. Suppose that this brain is given sensory stimuli that correspond to an experience of being in an Earth-like world. From ...
Dan's user avatar
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21 votes
2 answers
3k views

Why does neuroplasticity decrease in adults?

Although adult brains are malleable and even undergo limited neuorgenesis, the extent of the neuroplasticiy is much lower than in children. This is most obvious in language acquisition, and recovery ...
Artem Kaznatcheev's user avatar
15 votes
1 answer
332 views

Computational models of early learning in children

What are currently used biologically plausible computational models/frameworks of early learning in children? Personally, I have used cascade correlation neural nets to model pronoun acquisition in ...
Artem Kaznatcheev's user avatar
10 votes
2 answers
169 views

Criteria for evaluating cognitive systems

In the first chapter of the book "How to Build a Brain", Chris Eliasmith quickly establishes some criteria which he will use to evaluate Spaun, the cognitive system described in the book. He describes ...
Seanny123's user avatar
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4 votes
1 answer
357 views

Is EEG brain-computer interface reliable?

I am a computer science student [assume I have very little knowledge of the biological part of EEG]. I recently came across the topic EEG and was pretty interested in it. As far as I know, we get an ...
Nithin Jose's user avatar
15 votes
1 answer
806 views

Biological plausibility of bayesian models of cognition

Inspired by this question: What are some of the drawbacks to probabilistic models of cognition? I would like to know more about the biological plausibility of Bayesian models of cognition. Is there ...
zachguo's user avatar
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4 answers
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Why is training better when following an easy-to-difficult schedule?

As suggested in the answer to this question, experimental results show that training is most effective when it follows an easy-to-difficult schedule. What theories and specifically computational ...
Ofri Raviv's user avatar
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14 votes
3 answers
2k views

How distantly related are research in computational neuroscience and neural networks/machine learning?

If one is more interested in understanding how algorithms in the biological brain solve problems (theoretically, particularly the mathematical aspect), and possibly in building brain-inspired ...
Xingdong Zuo's user avatar
13 votes
2 answers
521 views

How is the biological accuracy of ANNs typically measured?

I am referring to the computational neuroscience side of neural network research that focuses on biological accuracy. I've read references to improving biological realism (using say spiking neurons ...
Arnon Weinberg's user avatar
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10 votes
4 answers
3k views

What are the mathematical models of memory?

Are there mathematical models of memory in humans or animals? I want to know how neuroscientists use mathematics to describe memory in living creatures. How do neuroscientists model memory and show ...
MOON's user avatar
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9 votes
3 answers
6k views

What do the weights of an artificial neural network represent in biological neurons?

In artificial neural networks the connections between neurons are a assigned numbers called "weights" or "parameters". As new data is fed into the neural net, these weights change. This is how the ...
Alex Ryan's user avatar
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2 votes
2 answers
534 views

ML/Neuroscience: TensorFlow vs PyTorch vs Keras for bulding NN models of the nervous system?

I would be very grateful to people with experience in using neural network models in neuroscience for advice! What approach would you recommend for building neural networks? I am choosing between ...
phant0msp1ke's user avatar
17 votes
1 answer
2k views

Modern treatments of Alan Turing's B-type neural networks

In the cognitive sciences Alan Turing is best known for launching AI with his Computing machinery and intelligence (1950). However, this was not his first contribution to the cognitive sciences, in ...
Artem Kaznatcheev's user avatar
16 votes
3 answers
939 views

What are the key examples of the use of computational methods in the study of biological neural networks?

In an upcoming postdoc, I'm going to be looking through biological neural network data in the hopes of finding some interesting "patterns". I'm coming at this field from a mathematics/computer ...
Douglas S. Stones's user avatar
14 votes
1 answer
322 views

How do humans control saccades?

I've gathered the standard rational for a visual system utilizing saccades from perception textbooks: the neural cost of processing an entire scene at a high level of detail would be prohibitive, but ...
zergylord's user avatar
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11 votes
1 answer
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Importance of Neural Synchrony to Cognition

Is there a consensus on whether computation using Neural Synchrony is reasonable or not? In "How to Build a Brain", Chris Eliasmisth cites Yuko Munakata and R. C. O'Reilly as saying that "the ...
Seanny123's user avatar
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8 votes
0 answers
500 views

Non-computational models of cognition

There is a question on this site that asks a somewhat related question, whether there are non-physical models for cognition. However, that question still assumes a computational paradigm for the non-...
yters's user avatar
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6 votes
1 answer
517 views

Computational model of biological object recognition

The human brain can achieve a remarkable ability to recognize visual patterns in an Invariant, selective and fast manner. The human visual system is quite powerful. It has an exquisite selectivity ...
Christina's user avatar
  • 201
6 votes
2 answers
236 views

What aspects of ACT-R are not contained within Spaun?

ACT-R was the first big cognitive model and excels at modelling human behavioral data quite accurately. Spaun, which is the world's largest functional brain model, took a lot of ACT-R's insights and ...
Seanny123's user avatar
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6 votes
3 answers
194 views

Is there a complete cortico-cortical connectivity map based on a useful partitioning of the cortex?

I have something like Brodmann Areas in mind, but any complete list of cortex regions would do. I'm primarily interested in human brains here. Ultimately I'd like enough information to be able to ...
Andrew McKnight's user avatar
5 votes
1 answer
674 views

Is "Biophysics of Computation" still a good book?

Currently I'm studying mathematics (2nd year) and I think I'm pretty into neuroscience. To "test" this, I purchased Principles of Computational Modelling in Neuroscience and am considering to get ...
Peter's user avatar
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5 votes
1 answer
116 views

A question on synapses

we are looking into running simulations of the nervous system of C. Elegans. It is believed by most people that the worm's nervous system encodes information through graded potentials and/or plateau ...
Max's user avatar
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3 votes
2 answers
102 views

Simulating Hudgkin Huxley neural network

I'm starting work on a computational neuroscience project where I want to create my own model of a spiking Hodgkin-Huxley neuron and connect many instances (about 400) of this model through synapses. ...
markagrios's user avatar
3 votes
1 answer
3k views

What's the difference between a Hamming and Hopfield network?

I have recently discovered that both Hamming and Hopfield networks are both content addressable memories. However, what is the difference between these two networks designs and their performance?
Seanny123's user avatar
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3 votes
1 answer
41 views

Modeling plateau potentials

We are attempting to run simulations of the C. Elegans neuronal network by building upon work of the OpenWorm team. We are looking into implementing a neuron model that produces plateau potentials ...
Max's user avatar
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1 vote
1 answer
454 views

How to compare brain waves?

I'm a Java developer completely naive of brain waves and such. Could anyone tell me how to compare them? For instance, how can I compare: and this: What fields of study should I focus on? I ...
Xina Torres's user avatar
1 vote
0 answers
36 views

Resources/studies on physically describing emotion?

I am wondering if there is an effort to described certain basic and perhaps more complicated emotions through the processes that occur in the brain. For example, when people get angry, certain ...
Corvus's user avatar
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