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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Advantages of Nengo for memory related tasks

What are some of the advantages Nengo offer as a framework for modeling memory related cognitive processes?
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Who are some leaders of perceptual decision making in terms of computational neuroscience?

Who are the "leaders of the field" for computational neuroscience in perceptual decision making? What are some staple review papers or papers/textbooks of the specific field?
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What is a good example of a psychological theory that became formalized into neural and computational terms?

As far as I see it the goal of cognitive sciences is to find a description of mental processes in terms of neural computations that can be eventually formalized by a mathematical theory to generate ...
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1answer
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What is the most unified functional model of the hippocampus?

There are many different incremental models of the hippocampus and it's role in learning as shown by a quick search. However, have there been any efforts to combine these various models into a single ...
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1answer
285 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 ...
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1answer
37 views

What models/mechanisms exist for the brain to chain movements together?

Motor Sequence Learning is the study of the cognitive ability to chain various motor sequences together. The most intuitive example of this is learning to play a sequence of notes on a piano. ...
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1answer
57 views

How do neurons limit their input current?

I know that many neurons have an input current-spiking frequency (I-F) relationships, e.g. as seen here. However, all the I-F curves I've encountered show the input current in a fairly small range (...
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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 ...
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3answers
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Differential equations in psychology [duplicate]

I am wondering (and searching with no success) if there are any examples of differential equations in psychology? I mean, no tutorial explaining what is differenetial equations or even partial ...
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1answer
54 views

EPSP/IPSP amplitude values?

I'm working with a Hodgkin-Huxley model that receives synaptic inputs from presynaptic neurons. If it receives a spike from an excitatory presynaptic neuron, the voltage of my HH neuron inceases by an ...
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1answer
29 views

How to compare tasks completed by neural architectures objectively?

When I first saw this video of Spaun and the tasks it can complete (solving the Towers of Hanoi problem, completing the Raven matrices), I was really impressed, but then I realized I didn't really ...
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Is cortical magnification in the visual system related to synaptic pruning, or is it a separate developmental or learning process?

I'm primarily interested in learning about current computational models that explain cortical magnification in the visual system. With this in mind, my specific questions are: (1) Is this phenomenon ...
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Do STDP synapses potentiate AND depress at the same time?

Do STDP synapses potentiate and depress at the same time? Consider the following scenario where two cells are connected by an STDP synapse: PRE and POST. PRE cell fires two action potentials 2 ms ...
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69 views

How to interpret neuron spiking models one comes across in literature?

Background I'm in high school currently conducting research (obviously it is relatively rudimentary compared to what is being done in the labs, etc.) in computational neuroscience. I'm dealing with ...
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What is “Predictive Reverse Engineering” and how can it be used for understanding brain structure?

Here is a quotation from the paper Markram et al., Introducing the Human Brain Project : New informatics and modeling approaches are making it possible to reverse engineer the detailed structure ...
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1answer
220 views

Does the human visual system implement (adaptive) histogram equalization?

The human visual system is very good at 'cancelling out' shadows and other lightning effects, and focusing on the contrast in images. A famous example of this is Adelson's checker shadow illusion: ...
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1answer
31 views

Problems with parameterizing neuronal simulation on a limited number of datasets

I'm hoping to contribute to the OpenWorm project by helping their efforts to parameterize the neurons in CElegans so the model elicits biologically realistic behavior. The problem is I've got only ...
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2answers
27 views

Models relating neuron firing to oscillatory dynamics

Many papers published seem to focused on oscillations to characterize synchronisation and communication between different brain areas. For example, this paper from Voytek et. al where communication ...
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1answer
43 views

Can machines really create anything new?

What do you think about the match, where the artificial intelligence AlphaGo met human top GO-players? https://en.wikipedia.org/wiki/AlphaGo Even the creators and instructors do not know, how ...
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1answer
39 views

what is the “trial-averaged neural response function”?

i'am currently reading " theoretical neuroscience by dayan abbott" and it says " If we ignore the brief duration of an action potential (about 1 ms), an action potential sequence can be ...
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209 views

How to computationally model the Wisconsin Card Sorting task?

The Wisconsin Card Sorting task is rather famous but appears to be quite difficult to model computationally. I work in RL and I am interested in how people learn the optimal strategy. I'm interested ...
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1answer
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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, ...
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1answer
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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 ...
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1answer
53 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 ...
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1answer
29 views

Publicly Available NEURON models

NEURON is a software package for simulating neurons and networks in great detail. Although it's quite easy to find papers that use NEURON with a simple Google Scholar search, is there some way to find ...
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Human reasoning as decidable fragments or approximations of otherwise undecidable logics - cognitive explanation?

There are a lot of modal logics (especially BDI logics and KARO framework) and higher order logics that initially aimed at understanding and simulating human reasoning. After years of research the ...
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1answer
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Toolbox for modelling visual search performance

I'm looking for a toolbox to model visual search performance in a singleton search task based on line orientations (you need to find a line that is most different from all others in it's orientation). ...
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Phycological model for use in a game engine

Pardon me if I use any incorrect terminology, but I am not very familiar with the field of psychology. Are there any (preferably somewhat prevalent) cognitive models of human behavior that might be ...
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20 views

Is there evidence of neurons corresponding to the certainty of next input prediction?

I think the levels of the hierarchically structured neocortex try to predict their next input. If so, is there a mechanism of measure of certainty in that prediction? For example a high prediction ...
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59 views

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 ...
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1answer
27 views

How is memory accounted for in the NEF?

The Neurological Engineering Framework can be used to create systems that use memory in interesting ways. One system (Spaun) is able to memorize (and forget) lists much in the same way as humans do. ...
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2answers
153 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 ...
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39 views

Are there any precise design principles for artificial connectomes or neural networks?

I've been reading about the openworm.org project. I've downloaded the code and run some simulations. The people at OpenWorm have made an experiment where they setup a robot with the neural network of ...
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1answer
32 views

The article “Vector reconstruction from Firing Rates” of Abbott and Salinas

Is anyone familiar with this article? I am reading it, and it is basically very clear. But still, some points are not clear to me. For example, how is equation (7.1) in page 12: $Q_{i,j}^{-1} = ...
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1answer
91 views

link between top-down (bottom-up) processing and cortex layers

What are the relations between top-down and bottom-up processings and the flows of information in the brain? For example, does top-down processing start from some layers and go to lower layers? If so ...
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1answer
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Can anyone see what is wrong with this implementation of the Pinsky-Rinzel model in Brian2?

Not sure if this is the right place to ask this but I've been attempting to implement the Pinsky-Rinzel model in the Brian2 simulator. I'm basing my implementation off the original article here: http:/...
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1answer
46 views

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. Trevor Berkolay created an alternative to this learning with the ...
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3answers
171 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 ...
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What is the role of Chloride (Cl- ions) in membrane potential?

This Membrane Potential article mentions only that Cl- ion is used to model inhibitory GABA synapses. Does it have another role besides hyper-polarizing the cell due to inhibitory neurotransmitter ...
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1answer
55 views

Unified Theory of the Human Brain [closed]

I'm a junior researcher(Life Sciences undergraduate) starting out in computational genetics of neuroscience, and I want to create a Unified Theory/Computational Model of the human brain and all its ...
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1answer
50 views

In NEURON simulator, how can I save the values of a graph to a file?

In NEURON simulator, suppose I graph the value of a variable (i.e. soma.v(0.5)) over time. How do I save the values in the graph to a file?
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In NEURON simulator, what is the command for “Init & Run” button?

Sometimes other windows obscure the UI, and I would like to type in the command from the NEURON console.
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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 ...
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1answer
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 ...
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1answer
339 views

Cosyne vs CNS conferences for Computational Neuroscience?

While Googling, I noticed there are 2 conferences for computational neuroscience: Cosyne and CNS. My questions are: 1) What are these conferences' differences in terms of material & impact/size? ...
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1answer
234 views

What explains variability in the mean firing rate across biological neurons?

Biological neurons have a trade-off between high information transfer (high firing rate) and energy conservation (low firing rate). One would suspect that the maximization of this function has a ...
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Is it necessary to read signals and systems before statistical signal processing/ detection theory [closed]

For one who is interested in computational neuroscience and brain computer interface, in university curriculum (e.g. BCCN Berlin), it requires a course in statistical signal processing / signal ...
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1answer
110 views

What are the practical uses of ontologies?

I have read many papers and books about ontologies, and I am trying to figure out that how they are used in a real project. For example, how can the ontology for a soccer player robot can be defined ...
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81 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 ...