For questions concerning the area of psychophysics that deals with discernment of information-bearing stimuli from background noise or other distractions.

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0answers
39 views

Is it necessary to read signals and systems before statistical signal processing/ detection theory [closed]

For one who is interested in computational neuroscience and brain computer interface, in university curriculum (e.g. BCCN Berlin), it requires a course in statistical signal processing / signal ...
3
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0answers
56 views

What is bispectrum?

I am working on a project that uses EEG signals of the brain to identify emotional states. While surveying the literature, I came across several references where "derived features of bispectrum" are ...
6
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1answer
90 views

What are proper EEG frequency bands and electrode placements for imagined speech?

I am doing an EEG experiment about imagined speech recognition. Which frequencies will have the most relevant information? I chose the frequency band [4-40] Hz as a start, mainly because of signal ...
4
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0answers
33 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
576 views

Two different values for criterion in signal detection theory?

I'm a signal detection theory newbie. I have data with a classical SDT design: the participants can answer YES or NO to a question where the correct answer is YES or NO, depending on the presence or ...
1
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1answer
106 views

How to compare brain waves?

I'm a Java developer completely naive of brain waves and such. Could anyone tell me how to compare them? For instance, how can I compare: and this: What fields of study should I focus on? I ...
0
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1answer
139 views

Detect an imagination EEG signal

Is there an EEG brain signal that has specific features resulting from imagination? For example, if a subject sees a car and imagines that the car is moving left. Could we capture this signal and ...
11
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1answer
88 views

Are staircases more efficient than the method of constant stimuli?

A Bayesian Quest adaptive procedure (Watson and Pelli 1983) is the theoretically most efficient procedure for estimating thresholds under a certain, potentially unrealistic, set of constraints. In my ...
3
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0answers
43 views

Dependancy EEG signals from regions of the brain

When we record an EEG signals , we apply an ICA on it , this algorithm assumes that the sources of signals are independent , could I assume that each region in the brain work independently , i.e the ...
1
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1answer
74 views

reading an EEG dataset using EEGLAB

When I'm reading the documentation of importing events in EEGLAB from a file here I have noticed that when we used a stimulus , we must know which time we will apply it , since in the dataset file , ...
1
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2answers
70 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 ? ...
1
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1answer
67 views

Record an eye blinking waveform signal from EEG signals

I want to Record an eye blinking waveform signal from EEG signals , but it need to make a quiscent periods of recording , So how to make this quiescent periods(i.e the signal has a zero amplitude at ...
2
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2answers
351 views

Is there some hierarchy of the human senses?

What I mean by this is to ask if each of the sensory inputs can be quantified by the amount of information the brain is receiving: For example, Brain says: currently receiving 10 packets of visual ...
6
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1answer
85 views

In SDT, are there other measures of detection sensitivity besides d'?

The reason I ask is that I often hear of alternate measures of response bias besides β, but have never heard of an alternate measure of detection sensitivity to d'. If there is no other measure of ...
4
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1answer
57 views

In SDT, how is an increase in detection sensitivity conceptualised in terms of the movement of the distributions?

Is it conceptualised as the signal distribution moving rightward, or as the noise distribution moving leftward?
2
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1answer
74 views

Is there sub-conscious error correction in interpreting heard language?

My personal experience suggests there is a background process taking place when interpreting a partially heard utterance. The sound is taken in, the conscious part of my mind begins the process of ...
5
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1answer
320 views

Is there a lot of redundancy in written and spoken language?

I read years ago in a pop science book that written and spoken language can be shown to have a high level of redundancy. The speculation was that this served to allow error correction because language ...
6
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1answer
268 views

Can the Go/No-Go Association Task be faked?

Go/No-Go Association task: The GNAT (pronounced like the bug) is a flexible technique designed to measure implicit social cognition. Conceptually similar to other implicit measures like the ...
18
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5answers
798 views

Can response time be incorporated into signal detection theory?

In signal detection theory, one typically uses "signal" and "no signal" responses to analyze the data (that is, the analysis is based on a discrete choice for each trial, effectively generating the ...