Statistical Analysis Stack Exchange
Statistical Analysis Stack Exchange

Questions tagged [neuroscience]

A field of science that studies nervous systems. Use [neuroimaging] tag for questions about fMRI data analysis.

Neuroscience is a field of science that studies nervous systems. It is a big field, ranging from anatomy and biochemistry of individual neurons to computational modeling of neural networks, from behavioural experiments with animal and human subjects to theoretical work on neural dynamics.

59 questions
66
votes
1 answer

40,000 neuroscience papers might be wrong

I saw this article in the Economist about a seemingly devastating paper [1] casting doubt on "something like 40,000 published [fMRI] studies." The error, they say, is because of "erroneous statistical assumptions." I read the paper and see it's…
R Greg Stacey
  • 2,202
  • 2
  • 15
  • 30
65
votes
12 answers

Why do neural networks need so many training examples to perform?

A human child at age 2 needs around 5 instances of a car to be able to identify it with reasonable accuracy regardless of color, make, etc. When my son was 2, he was able to identify trams and trains, even though he had seen just a few. Since he was…
Marcin
  • 917
  • 1
  • 7
  • 11
49
votes
4 answers

Does correlation = 0.2 mean that there is an association "in only 1 in 5 people"?

In The Idiot Brain: A Neuroscientist Explains What Your Head is Really Up To, Dean Burnett wrote The correlation between height and intelligence is usually cited as being about $0.2$, meaning height and intelligence seem to be associated in only…
Sitak
  • 593
  • 4
  • 5
26
votes
4 answers

What can we learn about the human brain from artificial neural networks?

I know my question/title is not very specific, so I will try to clearify it: Artificial neural networks have relatively strict designs. Of course, generally, they are influenced by biology and try to build a mathematical model of real neural…
daniel451
  • 2,635
  • 6
  • 22
  • 26
20
votes
4 answers

Non-transitivity of correlation: correlations between gender and brain size and between brain size and IQ, but no correlation between gender and IQ

I found a following explanation on a blog and I would like to get more information about the non-transitivity of correlation: We have the following indisputable facts: On average, there is a difference in brain volume between men and women There…
MagTun
  • 303
  • 4
  • 8
20
votes
2 answers

How to interpret PCA on time-series data?

I am trying to understand the use of PCA in a recent journal article titled "Mapping brain activity at scale with cluster computing" Freeman et al., 2014 (free pdf available on the lab website). They use PCA on time series data, and use the PCA…
statHacker
  • 355
  • 1
  • 3
  • 10
8
votes
1 answer

Meaning of low power in neuroscience after combining results of many meta-analyses (Button et al 2013)

In a 2013 review article in Nature Neuroscience, Button et al. Power failure: why small sample size undermines the reliability of neuroscience, it was stated that: the average statistical power of studies in the neurosciences is very low They…
arkiaamu
  • 735
  • 1
  • 6
  • 13
8
votes
2 answers

Bootstrap to test differences between correlation coefficients

I have two correlation coefficients ($r_1$ and $r_2$), obtained within the same sample (20 subjects). My aim is to test it they are significantly different. $r_1$ is the correlation between a neurophysiological parameter and a behavioural parameter…
smndpln
  • 432
  • 2
  • 20
6
votes
2 answers

To what extent are convolutional neural networks inspired by biology?

I have read in several places that convolutional neural networks were biologically inspired. In what ways do CNNs mirror biology, and in what ways don't they? Is there a more biologically plausible computer vision architecture that succeeds in…
Ari Herman
  • 541
  • 1
  • 4
  • 8
5
votes
1 answer

Linear model: only the whole model significant?

This is the result of a linear model (MatLab, LinearModel.fit): Linear regression model: y ~ 1 + x1 + x2 Estimated Coefficients: Estimate SE tStat pValue (Intercept) -0.24454 …
smndpln
  • 432
  • 2
  • 20
5
votes
3 answers

Do I have a justified reason to exclude a non-significant covariate from my ANCOVA? How interesting is unequal variance?

I am comparing glutamate concentrations across groups (2 groups). Age was significantly correlated with glutamate while IQ was not. If there is a significant difference in variance between groups. Is this meaningful and what can I conclude from…
brainimaging_new_to_unix
  • 63
  • 6
4
votes
1 answer

What does the number of independent components produced by ICA depend on?

I'm a student working on my bachelor thesis performing independent component analysis (ICA) on some fMRI data using MELODIC FSL. I would like to ask some questions regarding the results of ICA. Usually I obtain about 50 components per subject but…
Laura Palacio
  • 41
  • 2
3
votes
1 answer

How to reverse factor analysis (FA) and reconstruct original variables?

I saw this interesting topic: How to reverse PCA and reconstruct original variables from several principal components? and a nice answer with a very useful example of Iris data in Matlab. I would like to do the same using factor analysis instead of…
floUDC
  • 61
  • 7
3
votes
0 answers

May outliers represent significant values?

Each element of a 56x1 vector represents the functional association between two brain networks. I want to assess which of these 56 values are significant. One way to deal with this is to use an outlier detection method (the function 'isoutlier' in…
smndpln
  • 432
  • 2
  • 20
3
votes
1 answer

Correlation with repeated measures

For each of my 20 subjects, I have: physiological parameter: brain activity (y1) at time T1; physiological parameter: brain activity (y2) at time T2; behavioral parameter: reaction time (X); I want to know if brain activity and reaction times are…
smndpln
  • 432
  • 2
  • 20
1
2 3 4