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.

learn more… | top users | synonyms

6
votes
1answer
63 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 ...
7
votes
0answers
51 views

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 ...
3
votes
1answer
207 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: ...
7
votes
1answer
40 views

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 ...
4
votes
1answer
27 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 ...
3
votes
2answers
23 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 ...
0
votes
1answer
41 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 ...
2
votes
1answer
31 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 ...
10
votes
2answers
208 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 ...
0
votes
1answer
19 views

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, ...
3
votes
1answer
14 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 ...
5
votes
1answer
41 views

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 ...
5
votes
1answer
49 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 ...
3
votes
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 ...
0
votes
0answers
15 views

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 ...
2
votes
1answer
34 views

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). ...
0
votes
0answers
14 views

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 ...
0
votes
0answers
19 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 ...
2
votes
0answers
58 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 ...
2
votes
1answer
26 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. ...
10
votes
2answers
152 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 ...
0
votes
0answers
28 views

Learning, decision-making and thought presentation

Could you recommend books or articles about learning and decision-making in the light of thought presentation? Maybe also about artificial intelligence and computation-modeling, because I'm very ...
2
votes
0answers
37 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 ...
3
votes
1answer
29 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} = ...
3
votes
1answer
81 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 ...
3
votes
1answer
20 views

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: ...
3
votes
1answer
44 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 ...
5
votes
3answers
142 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 ...
4
votes
2answers
1k views

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 ...
1
vote
1answer
54 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 ...
1
vote
1answer
43 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?
1
vote
1answer
18 views
2
votes
1answer
62 views

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.
7
votes
2answers
76 views

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 ...
13
votes
1answer
1k 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 ...
6
votes
1answer
322 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? ...
12
votes
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 ...
1
vote
0answers
39 views

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 ...
6
votes
1answer
107 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 ...
7
votes
2answers
78 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 ...
8
votes
4answers
896 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 ...
3
votes
1answer
114 views

Are there working computational frameworks for human behavior and personality?

I've been scanning through the web, looking for some ideas and theories about computational modules of human behavior and personality, but so far all I could find regards to procedural programs and ...
2
votes
1answer
40 views

Determining the position of the calcium ion in the three dimensional space

Is it possible to determine the position of a single calcium ion or its population in the context of a three dimensional space with relatively good time frequency, say 1 Hz, taking into account ...
9
votes
4answers
885 views

How to read a neuron tuning curve graph?

I'm working through the tutorial of section 2.4 of "How to Build a Brain" and I've encountered this graph of a neuron tuning curve. I understand the Y axis is the firing rate of the neuron, that ...
3
votes
2answers
56 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 ...
2
votes
1answer
40 views

Can information theory be applied to human interactions and communication?

I am not sure if this question is better suited for the computational science SE. I learned a bit of Shannon's information theory in a course I took last year. In the class it was defined as the ...
3
votes
0answers
43 views

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 ...
1
vote
1answer
170 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 ...
10
votes
2answers
191 views

Computational Model Linking Neural Activity to Behavior

A big question in neuroscience is how neural activity represents knowledge. We can use modelling to explore how different levels of neural activity- subthreshold currents, action potentials, local ...
3
votes
0answers
61 views

Neuropharmacology and Simulation [closed]

I've been wondering whether neural simulations have had applications in (cognitive)neuropharmacological research already. One always reads about the promise of the technology in helping us cure ...