Congruent Visual Stimulation Facilitates Auditory Frequency Change Detection: An ERP Study

2018 ◽  
Author(s):  
Lei Wang ◽  
Yu Tsao ◽  
Fei Chen
Keyword(s):  
Change Detection ◽  
Visual Stimulation ◽  
Frequency Change

Sound frequency change detection in fetuses and newborns, a magnetoencephalographic study

NeuroImage ◽  
2005 ◽  
Vol 28 (2) ◽  
pp. 354-361 ◽  
Author(s):  
Rossitza Draganova ◽  
Hari Eswaran ◽  
Pamela Murphy ◽  
Minna Huotilainen ◽  
Curtis Lowery ◽  
...  
Keyword(s):  
Change Detection ◽  
Sound Frequency ◽  
Frequency Change

A new time coding approach for CTVEP-based brain-computer interface

2020 ◽  
Vol 20 (3) ◽  
pp. 743-757
Author(s):  
Teng Ma ◽  
Xuezhuan Zhao
Keyword(s):  
Information Transfer ◽  
High Performance ◽  
Visual Stimulation ◽  
Brain Computer Interface ◽  
Low Frequency ◽  
Computer Interface ◽  
Binary Codes ◽  
Frequency Change ◽  
Time Coding ◽  
New Time

The chromatic transient visual evoked potential (CTVEP)-based brain-computer interface (BCI) can provide safer and more comfortable stimuli than the traditional VEP-based BCIs due to its low frequency change and no luminance variation in the visual stimulation. However, it still generates relatively few codes that correspond to input commands to control the outside devices, which limits its application in the practical BCIs to some extent. Aiming to obtain more codes, we firstly proposes a new time coding technique to CTVEP-based BCI by utilizing a combination of two 4-bit binary codes to construct four 8-bit binary codes to increase the control commands to extend its application in practice. In the experiment, two time-encoded isoluminant chromatic stimuli are combined to serve as different commands for BCI control, and the results show that the high performance based on the new time coding approach with the average accuracy up to 90.28% and average information transfer rate up to 27.78 bits/min for BCI can be achieved. It turns out that the BCI system based on the proposed method is feasible, stable and efficient, which makes the method very suitable for the practical application of BCIs, such as military, entertainment and medical enterprise.

Transient activity in monkey area MT represents speed changes and is correlated with human behavioral performance

2015 ◽  
Vol 113 (3) ◽  
pp. 890-903 ◽  
Author(s):  
Andreas Traschütz ◽  
Andreas K. Kreiter ◽  
Detlef Wegener
Keyword(s):  
Change Detection ◽  
Visual Stimulation ◽  
Threshold Model ◽  
Human Detection ◽  
Absolute Difference ◽  
Area Mt ◽  
Temporal Area ◽  
Wide Range ◽  
Speed Change ◽  
Neuronal Representation

Neurons in the middle temporal area (MT) respond to motion onsets and speed changes with a transient-sustained firing pattern. The latency of the transient response has recently been shown to correlate with reaction time in a speed change detection task, but it is not known how the sign, the amplitude, and the latency of this response depend on the sign and the magnitude of a speed change, and whether these transients can be decoded to explain speed change detection behavior. To investigate this issue, we measured the neuronal representation of a wide range of positive and negative speed changes in area MT of fixating macaques and obtained three major findings. First, speed change transients not only reflect a neuron's absolute speed tuning but are shaped by an additional gain that scales the tuned response according to the magnitude of a relative speed change. Second, by means of a threshold model positive and negative population transients of a moderate number of MT neurons explain detection of both positive and negative speed changes, respectively, at a level comparable to human detection rates under identical visual stimulation. Third, like reaction times in a psychophysical model of velocity detection, speed change response latencies follow a power-law function of the absolute difference of a speed change. Both this neuronal representation and its close correlation with behavioral measures of speed change detection suggest that neuronal transients in area MT facilitate the detection of rapid changes in visual input.

scholarly journals Cortical Processing of Frequency Changes Reflected by the Acoustic Change Complex in Adult Cochlear Implant Users

2018 ◽  
Vol 23 (3) ◽  
pp. 152-164 ◽  
Author(s):  
Chun Liang ◽  
Lisa M. Houston ◽  
Ravi N. Samy ◽  
Lamiaa Mohamed Ibrahim Abedelrehim ◽  
Fawen Zhang
Keyword(s):  
Speech Perception ◽  
Cochlear Implant ◽  
Change Detection ◽  
Detection Threshold ◽  
Auditory Evoked Potential ◽  
Frequency Change ◽  
Large Variability ◽  
Frequency Changes ◽  
Acoustic Change Complex ◽  
Electroencephalographic Recording

The purpose of this study was to examine neural substrates of frequency change detection in cochlear implant (CI) recipients using the acoustic change complex (ACC), a type of cortical auditory evoked potential elicited by acoustic changes in an ongoing stimulus. A psychoacoustic test and electroencephalographic recording were administered in 12 postlingually deafened adult CI users. The stimuli were pure tones containing different magnitudes of upward frequency changes. Results showed that the frequency change detection threshold (FCDT) was 3.79% in the CI users, with a large variability. The ACC N1’ latency was significantly correlated with the FCDT and the clinically collected speech perception score. The results suggested that the ACC evoked by frequency changes can serve as a useful objective tool in assessing frequency change detection capability and predicting speech perception performance in CI users.

scholarly journals Frequency change detection and speech perception in cochlear implant users

2019 ◽  
Vol 379 ◽  
pp. 12-20 ◽  
Author(s):  
Fawen Zhang ◽  
Gabrielle Underwood ◽  
Kelli McGuire ◽  
Chun Liang ◽  
David R. Moore ◽  
...  
Keyword(s):  
Speech Perception ◽  
Cochlear Implant ◽  
Change Detection ◽  
Frequency Change

scholarly journals A Review of the Detection Methods for Climate Regime Shifts

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Qunqun Liu ◽  
Shiquan Wan ◽  
Bin Gu
Keyword(s):  
Climate Change ◽  
Steady State ◽  
Change Detection ◽  
Climate System ◽  
Detection Methods ◽  
Research Progress ◽  
Abrupt Climate Change ◽  
Future Climate Change ◽  
Frequency Change ◽  
Climate Regime

An abrupt climate change means that the climate system shifts from a steady state to another steady state. Study on the phenomenon and theory of the abrupt climate change is a new research field of modern climatology, and it is of great significance for the prediction of future climate change. The climate regime shift is one of the most common forms of abrupt climate change, which mainly refers to the statistical significant changes on the variable of climate system at one time scale. These detection methods can be roughly divided into five categories based on different types of abrupt changes, namely, abrupt mean value change, abrupt variance change, abrupt frequency change, abrupt probability density change, and the multivariable analysis. The main research progress of abrupt climate change detection methods is reviewed. What is more, some actual applications of those methods in observational data are provided. With the development of nonlinear science, many new methods have been presented for detecting an abrupt dynamic change in recent years, which is useful supplement for the abrupt change detection methods.

scholarly journals Musicians Are Better than Non-musicians in Frequency Change Detection: Behavioral and Electrophysiological Evidence

2016 ◽  
Vol 10 ◽  
Author(s):  
Chun Liang ◽  
Brian Earl ◽  
Ivy Thompson ◽  
Kayla Whitaker ◽  
Steven Cahn ◽  
...  
Keyword(s):  
Change Detection ◽  
Frequency Change ◽  
Electrophysiological Evidence ◽  
Better Than

scholarly journals The Acoustic Change Complex in Response to Frequency Changes and Its Correlation to Cochlear Implant Speech Outcomes

2021 ◽  
Vol 15 ◽  
Author(s):  
Kelli McGuire ◽  
Gabrielle M. Firestone ◽  
Nanhua Zhang ◽  
Fawen Zhang
Keyword(s):  
Word Recognition ◽  
Cochlear Implant ◽  
Change Detection ◽  
Detection Threshold ◽  
Stimulus Frequency ◽  
Event Related Potential ◽  
Frequency Change ◽  
Eeg Recordings ◽  
Frequency Changes ◽  
Acoustic Change Complex

One of the biggest challenges that face cochlear implant (CI) users is the highly variable hearing outcomes of implantation across patients. Since speech perception requires the detection of various dynamic changes in acoustic features (e.g., frequency, intensity, timing) in speech sounds, it is critical to examine the ability to detect the within-stimulus acoustic changes in CI users. The primary objective of this study was to examine the auditory event-related potential (ERP) evoked by the within-stimulus frequency changes (F-changes), one type of the acoustic change complex (ACC), in adult CI users, and its correlation to speech outcomes. Twenty-one adult CI users (29 individual CI ears) were tested with psychoacoustic frequency change detection tasks, speech tests including the Consonant-Nucleus-Consonant (CNC) word recognition, Arizona Biomedical Sentence Recognition in quiet and noise (AzBio-Q and AzBio-N), and the Digit-in-Noise (DIN) tests, and electroencephalographic (EEG) recordings. The stimuli for the psychoacoustic tests and EEG recordings were pure tones at three different base frequencies (0.25, 1, and 4 kHz) that contained a F-change at the midpoint of the tone. Results showed that the frequency change detection threshold (FCDT), ACC N1′ latency, and P2′ latency did not differ across frequencies (p > 0.05). ACC N1′-P2 amplitude was significantly larger for 0.25 kHz than for other base frequencies (p < 0.05). The mean N1′ latency across three base frequencies was negatively correlated with CNC word recognition (r = −0.40, p < 0.05) and CNC phoneme (r = −0.40, p < 0.05), and positively correlated with mean FCDT (r = 0.46, p < 0.05). The P2′ latency was positively correlated with DIN (r = 0.47, p < 0.05) and mean FCDT (r = 0.47, p < 0.05). There was no statistically significant correlation between N1′-P2′ amplitude and speech outcomes (all ps > 0.05). Results of this study indicated that variability in CI speech outcomes assessed with the CNC, AzBio-Q, and DIN tests can be partially explained (approximately 16–21%) by the variability of cortical sensory encoding of F-changes reflected by the ACC.

Vivid Imagers Are Better at Detecting Salient Changes

2006 ◽  
Vol 27 (4) ◽  
pp. 218-228 ◽  
Author(s):  
Paul Rodway ◽  
Karen Gillies ◽  
Astrid Schepman
Keyword(s):  
Individual Differences ◽  
Change Detection ◽  
Visual Imagery ◽  
Detection Task ◽  
Level Of Detail ◽  
Detection Accuracy ◽  
Change Detection Task ◽  
Term Change ◽  
High Level

This study examined whether individual differences in the vividness of visual imagery influenced performance on a novel long-term change detection task. Participants were presented with a sequence of pictures, with each picture and its title displayed for 17  s, and then presented with changed or unchanged versions of those pictures and asked to detect whether the picture had been changed. Cuing the retrieval of the picture's image, by presenting the picture's title before the arrival of the changed picture, facilitated change detection accuracy. This suggests that the retrieval of the picture's representation immunizes it against overwriting by the arrival of the changed picture. The high and low vividness participants did not differ in overall levels of change detection accuracy. However, in replication of Gur and Hilgard (1975) , high vividness participants were significantly more accurate at detecting salient changes to pictures compared to low vividness participants. The results suggest that vivid images are not characterised by a high level of detail and that vivid imagery enhances memory for the salient aspects of a scene but not all of the details of a scene. Possible causes of this difference, and how they may lead to an understanding of individual differences in change detection, are considered.

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