For questions about mathematical and computational neuroscience.

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6
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0answers
133 views

How can I test whether Dorsal Raphe Nucleus(DRN) activity at night is related to variations in mood?

I'm reading this paper, which discusses Serotonin activity in the Dorsal Ralphe Nucleus(DRN), and even includes some mathematical models of how serotonin is released and reabsorbed. The paper states ...
5
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4answers
165 views

Can humans be reduced to a function?

Based on an article by UK Essays, we are nothing more than robots that operate based on our past experience and other factors like amount of neurotransmitters, hormones, and other chemicals, trying to ...
5
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2answers
219 views

Why is it so difficult to use a “true mirror” as a mirror

This Youtube video shows what a "true mirror" is: https://www.youtube.com/watch?v=ZSxCZCy5Wsk In short, when you look into a true mirror you look at yourself (among other things) as you really are, ...
5
votes
2answers
114 views

Is there a function between loss of memory and time?

I have 2 related questions with regards to memory capabilities and time: "Is there a function (e.g. $e^{-\Delta Time}$) with regards to memory loss?" Everyone is bound to forget over time. Is there ...
5
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1answer
54 views

What's the functional difference between the NEF and normal ANNs?

Aside from obvious biological plausibility, from a computational standpoint, what's the motivation of using the Neural Engineering Framework (NEF) instead of Artificial Neural Networks (ANNs) for ...
5
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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. ...
5
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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 ...
5
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1answer
65 views

How does a human classify or cluster data?

Here, what I mean by DATA are text documents. I am going to do a research on text clustering algorithms by the help of artificial neural networks (ANNs). But first of all I need to know how our brain ...
5
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1answer
268 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 ...
5
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1answer
175 views

How long does the trace of a memory last in the brain?

With long-term plasticity one refers to the phenomen by which synapses are modified by neural activity and these modifications last for long times, a day perhaps of the order of days. This phenomenon ...
5
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2answers
225 views

Measurement of phase difference between two signals using cross correlation vs. fourier transform

I am studying eeg signals with the aim of distinguishing between preictal and interictal epilepsy states based on the eeg signal. I have read some papers and one of the metrics used to distinguish ...
5
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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 ...
5
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0answers
48 views

Why cerebellar input fibers use 2 ways to send a siganl to DCN?

Both groups of input fibers of cerebellum (mossy, climbing) start 2 pathways: 1) project directly to the deep nuclei 2) project to cerebellar cortex, which then (after some processing) sends ...
5
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0answers
49 views

What's the relation between BCM and Oja's learning rule?

A software I'm using has implemented two unsupervised learning algorithms, Oja's and Bienenstock, Cooper, Munro's (BCM) learning rule. I understand that they are two very different algorithms for ...
4
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5answers
2k views

Why do scientists say brains are faster than computers?

Supposing that neurons function similarly to transistors: A neuron able to fire $200$ times per second and transistors can be switched on and off more than $100,000,000,000$ times per second. Let's ...
4
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1answer
33 views

Neurophysiological mappings of empathy

What biologically plausible models are there of empathy? I know there has been a significant amount of work in defining emotion on a neurophysiological basis using models (I'm currently reading this ...
4
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1answer
480 views

What is the difference between computational neuroscience, theoretical neuroscience, and neuroinformatics (if there is one)?

In particular, theoretical and computational neuroscience seem to be synonymous with each other. Neuroinformatics at least seems to deal somewhat more with solving things numerically and the usage and ...
4
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1answer
230 views

Why does optogenetics not mean that perfect brain-computer interfaces are possible?

There have been multiple articles and videos circulating on the Internet claiming that optogenetics has made it possible to have perfect input/output to the brain from a computer. This is obviously ...
4
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1answer
375 views

What are presynaptic puncta?

What are presynaptic puncta? And what makes them different from presynaptic terminals?
4
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1answer
55 views

What is known about the information that's passed upwards within the neocortex?

The neocortex is likely to process sparse representations in a hierarchy with information close to the raw sensor input appearing in lower levels and abstract concepts being appearing in higher levels....
4
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1answer
62 views

Can dendrite spines fire action potential toward the soma?

I am confused about how the signal propagates from the dendrite spines toward the soma. I believe it is commonly taught that the signal diffuses "passively", i.e. electrostatically with no ...
4
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1answer
54 views

Does Spaun's serial memory exhibit proactive interference and serial searching

Xuan Choo recentely created a model of serial working memory for Spaun. Does this model of working memory exhibit the effects of proactive interference (as well as changing data types yielding freedom ...
4
votes
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 ...
4
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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 ...
4
votes
1answer
70 views

Is semantic pointer architecture compatible with a predictive coding account of the brain?

Both SPA (Eliasmith et al.) and predictive coding (Friston, Clark, Rao, et al.) seem to have a lot of explanatory power. My understanding of SPA is probably rudimentary, but Eliasmith and others ...
4
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0answers
32 views

Do adversarial neural networks exist in the brain?

A recent development in Artificial Neural Networks for machine learning applications is the use of Adversarial Networks (see this paper for an example). Adversarial Networks is a network architecture ...
4
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0answers
29 views

Where do spatial dimensions enter in single compartment neuronal models?

I am trying to understand how the length and diameter of a compartment are specified. For example, in the Hodgkin–Huxley model, we only have conductances specified in $\rm mS/cm^2$. How do you specify ...
4
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0answers
33 views

Grating orientation & frequency which induces highest gamma

I am doing some research on perception and gamma activity in V1 area. To check some of my results I need to find an experimental result, from which I would know which orientations and frequencies of ...
4
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0answers
180 views

For binary (spike train) signals, take FFT of signal or autocorrelation of signal?

I want to characterize a binary time-series signal x (derived from neuron action potential data) in the frequency domain. Should I use the FFT of the original signal x, or the power spectrum (FFT of ...
4
votes
1answer
92 views

Interpretation & Actual Result of “10% of your brain” Myth

It is well known that the common myth that an individual only ever uses 10% of their brain is.. well, a myth. I had a question about a possible interpretation of this idea, and a follow-up question ...
3
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1answer
51 views

Can neuron change from excitatory to inhibitory (end vice versa) over time?

According to this answer a neuron can release only specific type of neurotransmitters at the time, however, could it change over time? For example a neuron that now releases only inhibitory ...
3
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2answers
165 views

Can a biological entity be thought as a simple algorithm? Case-study with the concept of randomness

John Von Neuman believed that all organisms can be though of as information-processing systems. He built on the work of Alan Turing (algorithmic) to create simulations of biological entities. This ...
3
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2answers
49 views

Color and shape arriving together in visual system

I know that in the visual cortex there are separate visual pathways for both color and shape. Do these separate pathways imply that human beings become consciously aware of these features separately ...
3
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1answer
42 views

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 ...
3
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1answer
99 views

Relation between Nengo, SPA and NEF with respect to other Neural Models

I'm working through How to Build a Brain and I keep getting confused on the relation between Nengo, the Semantic Pointer Architecture (SPA) and the Neurological Engineering Framework (NEF). Are there ...
3
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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: ...
3
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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 ...
3
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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 ...
3
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1answer
54 views

Do dissolving myelinated connections explain learning?

In order to understand how we get rid of established habits/behavior: Can myelinated connections be dissolved or are new connections created that bypass those connections?
3
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2answers
67 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 ...
3
votes
2answers
59 views

How do humans learn to combine tasks?

I've been reading about hierarchical learning (a variant of reinforcement learning from what I understand) and how it is shown to allow learning of a higher-level task (the main example is assembly). ...
3
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1answer
55 views

Is there a research field which holds close connections between computational neuroscience and classical robotics

Is there a research field which holds close connections between computational neuroscience and classical robotics, particularly building corresponding robots to implement and test the theories from ...
3
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1answer
70 views

Neuroscience student [closed]

I'm thinking about studying neuroscience, but the only interests I have in the general area are: Where thought or consciousness come from and how it all works How memory works and why it can't be ...
3
votes
1answer
58 views

What are “linear spatial weightings” and “specific temporal windows” in Philiastides & Sajda (2006)?

I am undergraduate student in mathematics and a complete beginner in the field of neuroscience. I recently started a project in Mathematical biology which brought me to the above mentioned paper. I ...
3
votes
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 (...
3
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2answers
111 views

Neural nets for cognition

I recently got into Neural networks. As much as I have understood, the learning process is based on the change in weights according to stimulus and algorithm used in learning. Does this in any way ...
3
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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} = ...
3
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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: http:/...
3
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1answer
24 views

Role of declarative memory in learning skill

In Neil Taatgen's paper on primitive information processing elements (PRIMs) he notes that as a result of saving the used PRIMs in declarative memory (which is fast) as opposed to procedural memory (...
3
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1answer
34 views

Are there theories on how vocabularies for the Semantic Pointer Architecture are created?

The semantic pointer architecture is a vector symbolic architecture where high-dimensional sparse vectors represent concepts. These concepts can be mathematical, linguistic or sensory. In all of the ...