For questions about mathematical and computational neuroscience.

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7
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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 ...
6
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1answer
67 views

What are some good references for preprocessing and analysis of the P300 response from EEG data in Python?

I have just started to work on problems in neuroscience on my own. I sought to analyze the P300 response from EEG data because I was trying to understand a Kaggle.com challenge that used it. I found ...
4
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1answer
91 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
43 views

How are movements stored in the brain?

The high level flow of information through the brain for the purpose of motor control is well established. It is also known the cerebellum stores many different movements, while also participating in ...
1
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1answer
74 views

How to compute weights and bias for a McCulloch-Pitts neuron?

I am trying to learn how to manipulate McCulloch-Pitts neurons in order to determine their weights and bias based off of inputs. In this example I have inputs: x, y, z ∈ {−1,1} The neuron's output ...
6
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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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55 views

How much of brain power consumption is for information

As previously answered on this site, the brain uses 20W of power. However, how much of this power consumption is for information processing and how much of it is for maintenance of biological ...
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45 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 ...
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42 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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28 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
172 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 ...
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0answers
251 views

Is “Biophysics of Computation” still a good book?

To begin with, I hope this is the right place to ask - if not, please don't be too mad about it :) Currently I'm studying mathematics (2nd year) and I think I'm pretty into neuroscience. To "test" ...
3
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0answers
27 views

How does the hippocampus and the “Papez” circuit form a memory?

It is admitted the hippocampus is necessary to the formation of new long term memories. At first, information goes back and forth between various parts of the cortex and the hippocampus. That's how a ...
3
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12 views

SaccadeAngular velocity Matlab

I have the data for a monkey's eye position in a cartesian plane synced to the time. I can convert the numbers into polar form however I'm not too sure how to find the angular velocity at that point. ...
3
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0answers
14 views

Relation between NEF and synchronous explanation of cognition

I'm having a hard time determining if synchrony (I'm talking about the type described in reference to the visual cortex as seen here and less about synaptic plasticity which also involves synchrony) ...
3
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0answers
24 views

A simple derivation of the generalization bounds for the classical perceptron model

I'm basically referring to the great work of Elizabeth Gardner in this matter. I find that her work is often overlooked in the field of neuroscience, arguably because it is too difficult to understand ...
3
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0answers
43 views

How do mammals explore state spaces in reinforcement learning tasks?

Reinforcement learning is the act of learning how to preform a task given punishment and reward. A "state-space" is the space of choices in a context. When performing a reinforcement learning task, is ...
3
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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 ...
3
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0answers
40 views

What's the difference between divisive and soft normalization?

I know that recursive neural integrators (let me know if I need to clarify this term) can be considers soft normalizers, since their feedback loop means that any stimulus eventually saturates the ...
2
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0answers
18 views

Influence of LIP on visual cortex

I understand that the lateral intraparietal cortex (LIP) maps various features of targets onto an eye-centric reference frame. I also know that this mapping predicts where visual attention (in the ...
2
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0answers
10 views

How can higher concepts get unrolled with upward and feedback connections differing?

In the neocortex, input patterns are compressed hierarchically. Sensory inputs in the lower levels are combined by higher levels to form abstract concepts. However, there are even more feedback ...
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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 ...
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7 views

What is the limitation of Biosocial Theory developed by Linehan?

Linehan's biosocial theory takes into consideration of the accumulation effect of a stress on individuals, which the Diathesis-stress model could not explain. A predisposition (diathesis) with stress ...
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0answers
24 views

Are there cognitive models that distinguish semantic and episodic memory?

From various amnesia cases it has been shown that semantic and episodic memories reside in different parts of the brain. Are there any cognitive models that distinguish these two types of memories? If ...
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0answers
77 views

How can Semantic Pointer Architecture be used to capture dynamical systems?

Most uses of SPA I've seen seem to be representing static systems, such as recognizing digits, categorizing images, rapid variable creation and planning a path for writing those digits back out. Can ...
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0answers
25 views

Do studies exist that can map specimens of neocortex to the functions they perform(ed) in vivo?

Much brain research has proposed that the brain (the neocortex, esp.) is set up in areas - an area for faces, an area for language, etc.. The experiments typically go 1) damage an area 2) observe ...
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19 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 ...
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0answers
17 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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18 views

Analysing ERP (Event-Related Potentials from EEG recordings in fucus on P-300 waves

I am trying to understand how to analyze ERP (Event-Related Potentials) from EEG recordings in fucus on P-300 waves. I have come up with a few questions which I hope you might be able to help with: ...
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0answers
11 views

How do the motor system and Central Pattern Generators interact?

Central Pattern Generators are populations of neurons found in the spinal chord that assist in the creation of rhythmic movements. See this paper for a recent publication on the topic. How does the ...
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6 views

Creating non-linear neuron model from linear and actual rates

In "Theoretical Neuroscience" by Dayan and Abbott, section 2.2 "Estimating Firing Rates", it describes how by using a linear model in combination with averaged experimental firing rates you can ...
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27 views

When we say signals go from one cortical area to an other one do we mean they go directly without going through the thalamus for example?

Or is it implied signals always have to go back and forth between the thalamus and the cortex? Or is it possible they do both at the same time? Or maybe for areas next to each others they can go ...
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19 views

How are Bayesian models implemented in the NEF?

One of the much documented problems of Bayesian approaches to cognitive modeling is that there isn't much of a neural grounding. The NEF can be used to compute probabilistic computations with ease ...
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4 views

Difference between GALIS and NEF/SPA?

The Gated Attractors Learning Instruction Sequences (GALIS) framework, used to solve a card-matching task, as well as the n-back task, appears to be trying to unite high-level symbolic reasoning to ...
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0answers
14 views

How does hPES describe STDP?

Spike-Timing-Dependent Plasticity is believed to be how neurons change their connection weights and thus change what functions they are computing. From Towards Biologically Plausible Deep Learning: ...