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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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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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 ...
Xingdong Zuo's user avatar
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The same neuron sometimes released different neurotransmitters, so how does this affect our interpretation of computational models?

Most studies I see compare firing rate with some observed variable (stimuli or behavior). However, they treat all spikes the same. But neurons sometimes release different neurotransmitters depending ...
guest's user avatar
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Library (or manual creation) of ERP components

I'm looking to test some computational models using ERP components as inputs (eg. p300, n170) I'm wondering if there is an existing library anywhere that would have a bank of wave/component examples ...
Simon's user avatar
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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 ...
jotadepicas's user avatar
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How to control spike timings and the number of spikes in the Izhikevich model in the context of Rebound burst?

We are using Izhikevich neurons for our study. We want to tweak the parameters to be able to control the number of spikes and spike timing when the negative current is removed. With the parameters ...
Raghavendra Kaushik's user avatar
3 votes
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Understanding the transition from integrated form to ODE form of neuron models

I'm trying to convert a fairly complicated neuron model from integrated form (a form of the spike response model) to ODE form for use in the BRIAN simulator. The BRIAN simulator requires neuron/...
D.Peell's user avatar
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What is fiber bundle matching?

In the introduction of this paper, the authors mention something called "fiber bundle matching". I'm having trouble understanding if this is an analysis performed on a single subject's data or across ...
Vivek Subramanian's user avatar
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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 ...
Oswaldo's user avatar
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2 votes
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Noise ceiling estimate is lower than model prediction in RSA?

I am using representational similarity analyses (RSA) to compare models to some fMRI data. As part of this analysis I have computed noise ceilings for each of my regions of interest (ROIs). What's ...
switchup621's user avatar
2 votes
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What models are there for neuronal sequence memory?

This paper https://www.frontiersin.org/articles/10.3389/fncir.2016.00023/full proposes a neuronal model to learn time-based sequences, referred to as HTM (https://en.wikipedia.org/wiki/...
david.pfx's user avatar
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Equation 8.39 to 8.41 in the book Neuronal Dynamics

In the book neuronal dynamics chapter 8.4 (https://neuronaldynamics.epfl.ch/online/Ch8.S4.html), the authors derive the Fokker-Planck equation for a noisy neuron. Starting from equation 8.39: $ p(u, t+...
duodenum's user avatar
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Are there open data for long-term potentiation/depression experiments?

The following is Figure 8.2 from Dayan & Abbott (2001), p. 292: It describes the phenomenon of long-term potentiation/depression (LTP/LTD): Change in synaptic strength (y-axis) is inversely ...
Joram Soch's user avatar
1 vote
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61 views

Can't understand the proof of the Time-Rescaling theorem

I was reading the following paper: The time-rescaling theorem and its application to neural spike train data analysis and I have some difficulties understanding the proof of the time-rescaling-theorem....
ИванКарамазов's user avatar
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Confusion about Marr's "computational level" and computational neuroscience

I'm writing my masters thesis in the field of computational neuroscience (using a spiking model). One of my supervisors is a cognitive scientist, who likes to use Marr's 3 levels of analysis. Marr's '...
Jumboman's user avatar
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Why do Na+/K+ ion pumps in neurons have a ratio of 3 to 2

As I understand it the resting potential is maintained due to the different permeabilities of K+ and Na+ and in fact at the resting potential the sum of the Na+ and K+ currents is zero. The pump's job ...
curiousgeorge's user avatar
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Trying to remember the name of an Agent-Based Model

Out of curiosity- I used to read a Wiki page of a scientist (sadly I don't remember the name) who were the developer of an agent-based model. Diagram had another entity class named similar to "...
Atahan Bozkurt's user avatar
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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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How is "one-shot learning" implemented in the NEF/SPA?

In various cognitive modelling publications, "One-Shot Learning", which is just learning given very few examples, is praised as being an essential part of human cognition. For example, in "One-Shot ...
Seanny123's user avatar
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Does such a theory exist?

Is there any model that describes how people behave while taking compositions of emotions into account? Such as, how different the behavior of a person is when he is (10% angry + 50% sad + 40% some ...
Shadman Sakib's user avatar
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1 answer
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is there a way to predict the possible modularizations of the brain?

we know that human brain becomes more and more modular during its development. We see similar places for the similar modules in the brain (probably because of the similar inputs and vasculature around ...
Elif D.'s user avatar
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1 answer
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Are there any standard tools for neuroscience models programming, like for spiking neural networks?

I come from deep learning environment and there is quite a few standard tools and frameworks that you can use in different occasions. I am trying to build a spiking neural network model in Python and ...
czechpy's user avatar
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What is the best network-based cognitive model to explain and predict political decision-making?

I would like to build a simple human-readable model based on connected concepts that can model how people - very approximately - represent and update their decision-making on a political subject as ...
Mandrake_The_Magician's user avatar