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Questions tagged [signal-detection]

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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1answer
21 views

How to control subject's response bias in 2-interval force choice task

I am using a two-interval force choice (2IFC) task to estimate detection threshold and choose an appropriate signal level for my following experiment, by estimating sensitivity ($d'$) for each signal ...
3
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0answers
39 views

Solving for HR and FAR, given ACC and C

Lets say I have an equal variance SDT framework with an equal number of target present and target absent trials: $d'=Z^{-1}(HR)-Z^{-1}(FAR)$ $C=\frac{Z^{-1}(HR)+Z^{-1}(FAR)}{-2}$ $ACC=\frac{HR+(1-...
5
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1answer
39 views

Visual field testing: Choose between Yes/No, 2AFC, and 2IFC task?

As a newbie to psychophysics experiment, I have a small project to do visual field testing on healthy, adult, naive subjects. The experiment stimulus is a small sine grating (0.3 degree, 6 cycles/...
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0answers
19 views

Recovering P300 information from raw EEG data [duplicate]

I am trying to recover P300 information from raw EEG data. I have information from 23 electrodes in my EEG cap and have several files form which I will need to recover this information. However, I am ...
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1answer
26 views

Fitting equal-variance signal detection model to ROC data

I posted this question in the programming forums but think I might get some answers if I post here as well... hope that's ok. I'm trying to follow the steps in this paper to reproduce the excel table ...
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1answer
54 views

Doing PCA and ICA analysis on EEG data with 24 channels

I am very new to this type of neuroscience research and I am trying to do some automatic artifact detection. I am having trouble understanding how I should work with my data. I have data recorded from ...
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0answers
41 views

How bright must a light bulb to be noticed in a room?

If one has say an 800 lumen bulb, how many lux are necessary in order for a human to detect when it's suddenly turned on in a room with brightness levels of 30 Lux 50 Lux 100 Lux 1.-How many Lux ...
5
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1answer
104 views

Calculate threshold from 'binary' yes/no data

For various reasons, I have a crappy experimental design that I am forced to deal with. I present subjects with 20 yes/no trials, out of which 5 are no-signal catch trials and 15 are signal trials. ...
4
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1answer
63 views

Understanding a negative correlation between Pc and signal strength

When I present two signals in paired comparison and ask the respondent to select the stronger signal in the pair, I find that it is the signal strength of the second signal that more so determines ...
5
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1answer
281 views

Are we able to simulate pain through the brain?

I have like 0 experience or knowledge about brain signals and all that stuff but I'm curious about how much we know about the brain in terms of like tricking your brain that with simulation of pain. ...
3
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1answer
48 views

Who first proposed using ROC curves in a psychological context?

On Wikipedia it is written that In the 1950s, ROC curves were employed in psychophysics to assess human (and occasionally non-human animal) detection of weak signals. Green and Swets (1966) is ...
10
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1answer
501 views

Signal detection theory: How to calculate c' when d' is 0?

Reframed the original question to include more background information: My experiment concerns the recall ability of individuals concerning information about animals. Within-subject design: Whether an ...
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1answer
265 views

How to calculate the confidence interval for $d^\prime$ (d prime)?

I have an experiment with $N$ signal trials and $M$ no signal trials and I have measure the number of hits $nHit$ and the number of false alarms $nFA$. From this I can compute the probability of a hit ...
2
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1answer
46 views

Upwards of what d' values constitute “good” sensitivity?

In signal detection theory, d' (sensitivity) is computed in terms of z-scores, to allow comparison (subtraction) of hit rates from false alarm rates. Even so, the interpretation of the d' is not ...
8
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1answer
159 views

Applying signal detection theory to single-stimulus presentations

Normally, signal detection theory (SDT) is applied to data that involves giving two-alternative forced choice (2AFC) responses to pairs of stimuli, for instance saying whether stimulus B was the same ...
4
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1answer
100 views

Calculate criterion values for each confidence level (within SDT)

Take a 2AFC task, where people also give a measure of confidence. In the framework of signal detection theory, the criterion values for each confidence level are simply additional criteria, placed on ...
7
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1answer
318 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 ...
9
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1answer
132 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 ...
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0answers
53 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 ...
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0answers
105 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 ...
1
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1answer
303 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 ...
5
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1answer
71 views

Dependency 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 works independently, i.e., the ...
13
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1answer
382 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 ...
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1answer
305 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 ...
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1answer
136 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 , ...
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2answers
106 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 ? ...
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1answer
176 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 ...
4
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1answer
6k 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 ...
2
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2answers
1k 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
130 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
71 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
92 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 ...
7
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2answers
572 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
459 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 ...
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5answers
1k 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, generating the four possible ...