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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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12 views

How do I find Computer Science-Focused Cognitive Science Labs for Research?

I'm applying for Master's in Computer Science programs with the goal of gaining research experience and moving into the field of Cognitive Science to one day get my PhD. I'm trying to find labs and ...
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24 views

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 ...
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2answers
155 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 ...
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59 views

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 ...
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1answer
26 views

Is HTM (Hierarchical Temporarl Model) accepted as credible?

I ran across this article Why Neurons Have Thousands of Synapses, a Theory of Sequence Memory in Neocortex, which leads to Wikipedia and HTM. To my reading, this provides a credible theory of sensory ...
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1answer
52 views

How are the outputs of neurons encoded, if at all?

The way I learned it, a neuron fires with a fixed amplitude, and the only information encoded in the output is the frequency at which it fires. 10 spikes per second is in some sense a 'stronger' ...
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5 views

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/...
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1answer
126 views

What sources of randomness does the brain use for sampling?

As an applied mathematician, I have a growing interest in the mechanisms for uncertainty representation and computation in the human brain. In fact, I recently compiled a list of papers on this ...
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1answer
35 views

Homogeneous Poisson Process of spike train

In Theoretical Neuroscience by Dayan and Abbott page 25, the probability $P[t_1, t_2, ..., t_n]$ that a sequence of n spikes occurs with spike $i$ falling between times $t_i$ and $t_i+\Delta t$ ...
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2answers
58 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. ...
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25 views

Do people still use ACT-R?

A lot of computational cognitive scientists seem to be working on Neural nets (mostly vision scientists), Reinforcement learning (mostly decision making people) and Bayesian Inferences. I could hardly ...
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1answer
51 views

Are there animals with only excitatory neurons?

Are there animals with only excitatory neurons? I am not sure it is possible. Also, maybe excitation/inhibition can become relative? I however will be happy to read your opinion.. For example, are ...
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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 "...
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2answers
136 views

Parallel arrangement of capacitor and resistor in leaky integrate-and-fire model

I have read from several sources that in the leaky integrate-and-fire model of a single neuron resistor (leakage) and capacitor (membrane potential) are arranged in parallel. Look at the following RC ...
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1answer
100 views

What extent is non linear dynamics and chaos helpful to study brain function?

Recently I've started reading dynamical systems in neuroscience by izhikevich and was fascinated by the subject. I would like to pursue PhD in computational neuroscience after my masters. Is it worth ...
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2answers
229 views

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 ...
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4answers
308 views

What are good introductory books on mathematical psychology?

I have a background in physics and has enough knowledge in Fourier analysis, group & representation theory, projective geometry, complexity theory, and dynamical systems theory. What introductory ...
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1answer
51 views

In TD learning, is the weight function used as a linear filter?

In the Temporal difference learning algorithm (TD-learning), an agent seeks to predict the total value of future rewards that will be received during the current trial. The agent updates the ...
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1answer
573 views

Is staying with an abusive partner actually indicative of Stockholm syndrome? [duplicate]

For the longest time, I've wondered why it is that people who are physically or mentally abused by their partners stay in these relationships. Further, it seems, admittedly from personal experience, ...
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3answers
436 views

What are some credible conferences and journals in computational neuroscience?

I have a background in computer science, and I wish to introduce cognitive sciences to myself, particularly from a computational/mathematical perspective. My motivation for doing this artificial ...
5
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1answer
256 views

How can I visualize DTI tractography streamlines generated from FSL's probtrackX in 3D?

I currently have track files of diffusion tensor imaging (DTI) data generated from FSL's probtrackX tractography tool. What is the best software to visualize the streamlines from FSL in 3D?
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1answer
329 views

What is the computational role of the cortical column?

The cortex is supposedly composed of semi uniform cortical columns that are interlinked. Many of the resources on cortical columns I found using a Google search do not discuss what a column computes (...
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1answer
134 views

Are ACT-R and Spaun the state of the art in cognitive science computational models?

I've been looking for a computational model in cognitive science, and perused Anderson's "How can the human mind occur in the physical universe?". I've also seen this question comparing ACT-R with a ...
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1answer
156 views

Why Bayesian Cognitive Modeling?

Recently i read an article on Bayesian Program Synthesis. It says that Bayesian cognitive modelling would help AI systems to learn from few examples in comparison to deep learning. But i was not able ...
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34 views

How to connect two networks in NEURON software? [closed]

So my goal is to connect STN and SNc neurons by giving synaptic weights and then see the response. I have already modelled STN and SNc separately and observed their response. I need help with the ...
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253 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-...
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0answers
31 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 ...
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0answers
73 views

Good Resources for Learning Modeling of fMRI Data [closed]

As a neuroscience student who works with fMRI I'm competent at the standard univariate analyses and resting state analysis techniques in AFNI and MATLAB/SPM. However, I want to learn how to use models ...
3
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2answers
346 views

How often are complex networks and graph theory useful in computational neuroscience?

Complex networks and graph theory seem like they would be important for computational neuroscience, but they don't come up in the literature as often as I would expect. I'm wondering how frequently ...
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175 views

Which is more important for computational neuroscience: differential equations or linear algebra? [closed]

I know that they are both used in computational neuroscience. However, I am trying to optimize my studying, so it might be useful to know which to focus more time upon, at least in the beginning.
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3answers
2k views

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 ...
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1answer
51 views

Best way to modeling ADHD? [closed]

...with computer models? ( hacking the executive functions of something like this, for making the algorithm more "impulsive", or "inattentive".) ...with animal models? ( using "SHR rat-like", ...
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1answer
1k views

Does Computer science has any role to play in Cognitive science? [closed]

Does Computer science(or computationalism) has any role to play in Cognitive science or Creativity studies?
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38 views

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 ...
3
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1answer
1k 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?
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69 views

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 ...
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2answers
1k views

What's the difference between computational neuroscience and systems neuroscience?

I'm an engineer, interested in mental machinery, to imitate cognitive capabilities of the human mind into primitive artificial models. In this case, cognitive neuroscience (CogN) is something, ...
3
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1answer
46 views

Using a Linear Non-linear Cascade with a Non-Random (deterministic) Stimulus

I'm attempting to use a computational model, in particular a linear non-linear cascade (LNP) to encode the spiking of a neuron responding to a thermal stimulus. In a LNP, it assumes that the stimulus ...
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0answers
17 views

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 ...
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0answers
59 views

Advantages of Nengo for memory related tasks [closed]

What are some of the advantages Nengo offer as a framework for modeling memory related cognitive processes?
4
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1answer
58 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. ...
2
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1answer
135 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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0answers
46 views

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 ...
5
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1answer
283 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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3answers
1k views

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
49 views

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 ...
4
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1answer
310 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: In ...
3
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1answer
56 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
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2answers
40 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
90 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 ...