Tagged Questions

For questions about mathematical and computational neuroscience.

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6
votes
1answer
54 views

How does masking work?

Masking occurs when the delay between the target and the mask is less than a threshhold (say 50 milliseconds). If sensory data passes from lower to higher visual cortices/processing regions as in a ...
3
votes
2answers
17 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
0answers
9 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 ...
2
votes
2answers
26 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 ...
2
votes
1answer
10 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. ...
3
votes
1answer
10 views

How well are neurotransmitters used in SPA?

How much does the SPAUN and the Semantic Pointer Architecture (SPA) that was used to build it take neurotransmitters into account? In the book How to Build a Brain, various inhibitory and excitatory ...
3
votes
1answer
14 views

How well does the NEF capture neuronal heterogeneity?

From what I understand of the Neurogical Engineering Framework (NEF), groups of neurons are used to compute functions. However, I'm not clear if these calculations take into account neurons of ...
1
vote
0answers
8 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 ...
2
votes
0answers
9 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 ...
3
votes
0answers
16 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 ...
1
vote
2answers
50 views

Reference request in Circuit and Signals for Computational Neuroscience

In the area of computational neuroscience, there are basic theories from electric circuits and signal processing to be applied. For background study, which reference will be more suitable ? ...
0
votes
1answer
29 views

What is an example of a learning machine that achieves zero variance?

I'm attempting to find an example of a learning machine/neural network that achieves zero variance, but I am having a hard time finding an example anywhere. Variance is defined as the generalization ...
5
votes
2answers
143 views

Why does a neuron choose to connect to another?

I have been reading about neuron creation, guidance cues and all sorts of highly complex mechanisms used to allow one neuron axon to extend or connect - but to what end? Why does one neuron end up ...
0
votes
1answer
34 views

How many action potentials from presynaptic neurons would be required to make a postsynaptic neuron fire?

I am looking for a rough estimation of the number of action potentials from other neurons required to cause a neuron to fire? I read here that a potential of ~ -55mv must be reached before an action ...
2
votes
0answers
27 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 ...
5
votes
1answer
38 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 ...
1
vote
0answers
19 views

Differences between the many versions of neuromorphic hardware

There is a ton of neuromorhpic hardware being pumped out these days. Off the top of my head, I can name IBM (BlueGene and TrueNorth), Qualcomm, Neurogrid, Brainstorm (Neurogrid 2.0), Spinnaker, ...
3
votes
2answers
43 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). ...
1
vote
0answers
18 views

Structure for General Intelligence

I've just read Dan Rasmussen's paper on general intelligence and I was wondering what other approaches for complex, scalable and adaptable learning have been tried in the past? This question's scope ...
3
votes
0answers
23 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 ...
2
votes
2answers
86 views

Diffrence between SSVEP and P300

I have read about SSVEP and P300 as different subjects. But its seems that they are related to each other. Is P300 a kind of SSVEP?
1
vote
1answer
28 views

What are the neurobiological factors associated with intelligence in animals?

For example, is there a well-defined relationship between "number of neurons in the cortex" and some measure of "intelligence" in animals? I'm familiar with the encephalization quotient - that is, ...
2
votes
5answers
313 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 ...
-1
votes
1answer
46 views

Prerequisite Request: Neurorobotics [closed]

For the newly emerging field, Neurorobotics. Can one list several highly recommended prerequisite courses prior to entering this field ? Except for classical machine learning, computational ...
3
votes
1answer
21 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 ...
3
votes
0answers
26 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 ...
0
votes
0answers
12 views

What approaches has there been to resolving the “symbol grounding problem”?

The symbol grounding problem can be summarized as the problem of defining a mapping between dogs-in-the-world and the concept of dog in your head. What approaches have been used in cognitive models to ...
7
votes
1answer
84 views

Importance of Neural Synchrony to Cognition

Is there a consensus on whether computation using Neural Synchrony is reasonable or not? In "How to Build a Brain", Chris Eliasmisth cites Yuko Munakata and R. C. O'Reilly as saying that "the ...
3
votes
1answer
46 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 ...
2
votes
1answer
69 views

Is EEG brain-computer interface reliable?

I am a computer science student [assume I have very little knowledge of the biological part of EEG]. I recently came across the topic EEG and was pretty interested in it. As far as I know, we get an ...
4
votes
0answers
55 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 ...
10
votes
2answers
109 views

How distantly related are research in computational neuroscience and neural networks/machine learning?

If one is more interested in understanding how algorithms in the biological brain solve problems (theoretically, particularly the mathematical aspect), and possibly in building brain-inspired ...
5
votes
1answer
141 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 ...
6
votes
1answer
35 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 ...
2
votes
0answers
15 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 ...
6
votes
1answer
30 views

What are the common components of other cognitive architectures and the Semantic Pointer Architecture

In the papers I've read about it, the Semantic Pointer Architecture (SPA) embodied in Spaun is said to be more biologically plausible than many other proposed architectures such as the Neural ...
3
votes
1answer
45 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
votes
1answer
178 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 ...
0
votes
1answer
90 views

What are ways to explore metamathematics from a cognitive science/neuroscience lens?

What are ways to explore metamathematics from a cognitive science/neuroscience lens to understand the evolution of mathematics based on structural and perceptual processing biases introduced due to ...
0
votes
1answer
61 views

What subjects to study in order to prepare for a research career in theoretical neuroscience?

Which topics in a dual degree in Cognitive science and Computer science at the graduate level or systems neuroscience (experimental + theory) graduate degree will better prepare for a research career ...
1
vote
1answer
31 views

Overview of Pitts & McCullough (1943) “A logical calculus of the ideas immanent in nervous activity”

Is there a good tutorial or simplified overview of the paper, 'Logical calculus for nervous activity' (McCullough & Pitts, 1943)? Reference McCullough, W. S., & Pitts, W. (1943). A logical ...
2
votes
1answer
118 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 ...
2
votes
1answer
87 views

How do thoughts work at the neuron level?

How does thought work at the biological level of individual neurons? I believe there are many neurons which are active in the brain at the same time. For example, our senses are constantly taking in ...
7
votes
3answers
425 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
62 views

Neuroscience student

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 ...
4
votes
1answer
70 views

What does a cortical column do?

The Blue Brain project led by Henry Markram focused on simulating cortical columns under the idea they form basic processing units of the brain/cognitive function. What does a cortical column do? I ...
5
votes
1answer
99 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? ...
3
votes
1answer
161 views

How does cognitive science explain distant intentionality and brain function in recipients?

Achterberg and colleagues' (2005) study, Concluded that instructions to a healer to make an intentional connection with a sensory isolated person can be correlated to changes in brain function ...
3
votes
1answer
46 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 ...
7
votes
2answers
77 views

What is the difference between spike-triggered averaging and reverse correlation?

I'm interested in the difference between spike-triggered averaging and reverse correlation. In some papers (i.e., Schwartz, Odelia, et al) I see the term 'Spike Triggered Averaging'. In others, (ie ...