An integrated neural network-event-related potentials model of temporal and probability context effects on event categorization

2003 ◽  
Author(s):  
J.P. Banquet ◽  
J.L. Contreras-Vidal
Keyword(s):  
Neural Network ◽  
Context Effects ◽  
Event Related Potentials ◽  
Related Potentials ◽  
Network Event

scholarly journals Modeling Nonlinear Transfer Functions from Speech Envelopes to Encephalography with Neural Networks

2019 ◽  
Vol 11 (4) ◽  
pp. 1 ◽  
Author(s):  
Tobias de Taillez ◽  
Florian Denk ◽  
Bojana Mirkovic ◽  
Birger Kollmeier ◽  
Bernd T. Meyer
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Artificial Neural Network ◽  
Linear Models ◽  
Transfer Functions ◽  
Event Related Potentials ◽  
Stimulus Presentation ◽  
Related Potentials ◽  
Linear And Nonlinear ◽  
Artificial Neural

Diferent linear models have been proposed to establish a link between an auditory stimulus and the neurophysiological response obtained through electroencephalography (EEG). We investigate if non-linear mappings can be modeled with deep neural networks trained on continuous speech envelopes and EEG data obtained in an auditory attention two-speaker scenario. An artificial neural network was trained to predict the EEG response related to the attended and unattended speech envelopes. After training, the properties of the DNN-based model are analyzed by measuring the transfer function between input envelopes and predicted EEG signals by using click-like stimuli and frequency sweeps as input patterns. Using sweep responses allows to separate the linear and nonlinear response components also with respect to attention. The responses from the model trained on normal speech resemble event-related potentials despite the fact that the DNN was not trained to reproduce such patterns. These responses are modulated by attention, since we obtain significantly lower amplitudes at latencies of 110 ms, 170 ms and 300 ms after stimulus presentation for unattended processing in contrast to the attended. The comparison of linear and nonlinear components indicates that the largest contribution arises from linear processing (75%), while the remaining 25% are attributed to nonlinear processes in the model. Further, a spectral analysis showed a stronger 5 Hz component in modeled EEG for attended in contrast to unattended predictions. The results indicate that the artificial neural network produces responses consistent with recent findings and presents a new approach for quantifying the model properties.

Language context effects on interlingual homograph recognition: evidence from event-related potentials and response times in semantic priming

2001 ◽  
Vol 4 (2) ◽  
pp. 155-168 ◽  
Author(s):  
Ellen R. A. de Bruijn ◽  
Ton Dijkstra ◽  
Dorothee J. Chwilla ◽  
Herbert J. Schriefers
Keyword(s):  
Semantic Priming ◽  
Context Effects ◽  
Response Times ◽  
Event Related Potentials ◽  
Semantic Integration ◽  
Decision Task ◽  
Priming Effects ◽  
Bottom Up ◽  
Related Potentials ◽  
On Line

Dutch–English bilinguals performed a generalized lexical decision task on triplets of items, responding with “yes” if all three items were correct Dutch and/or English words, and with “no” if one or more of the items was not a word in either language. Sometimes the second item in a triplet was an interlingual homograph whose English meaning was semantically related to the third item of the triplet (e.g., HOUSE – ANGEL – HEAVEN, where ANGEL means “sting” in Dutch). In such cases, the first item was either an exclusively English (HOUSE) or an exclusively Dutch (ZAAK) word. Semantic priming effects were found in on-line response times. Event-related potentials that were recorded simultaneously showed N400 priming effects thought to reflect semantic integration processes. The response time and N400 priming effects were not affected by the language of the first item in the triplets, providing evidence in support of a strong bottom-up role with respect to bilingual word recognition. The results are interpreted in terms of the Bilingual Interactive Activation model, a language nonselective access model assuming bottom-up priority.

scholarly journals Application of Neural Network Modeling to Identify Auditory Processing Disorders in School-Age Children

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Sridhar Krishnamurti
Keyword(s):  
Neural Network ◽  
Auditory Processing ◽  
Network Modeling ◽  
Event Related Potentials ◽  
School Age Children ◽  
Neural Network Modeling ◽  
School Age ◽  
Auditory Processing Disorders ◽  
Speed Of Information Processing ◽  
Related Potentials

P300 Auditory Event-Related Potentials (P3AERPs) were recorded in nine school-age children with auditory processing disorders and nine age- and gender-matched controls in response to tone burst stimuli presented at varying rates (1/second or 3/second) under varying levels of competing noise (0 dB, 40 dB, or 60 dB SPL). Neural network modeling results indicated that speed of information processing and task-related demands significantly influenced P3AERP latency in children with auditory processing disorders. Competing noise and rapid stimulus rates influenced P3AERP amplitude in both groups.

Context Effects on Pitch Perception in Musicians and Nonmusicians: Evidence from Event-Related-Potential Recordings

2001 ◽  
Vol 19 (2) ◽  
pp. 199-222 ◽  
Author(s):  
Elvira Brattico ◽  
Risto Näääätäänen ◽  
Mari Tervaniemi
Keyword(s):  
Mismatch Negativity ◽  
Context Effects ◽  
Event Related Potentials ◽  
Event Related Potential ◽  
Context Condition ◽  
Pitch Change ◽  
Familiar Condition ◽  
Related Potentials ◽  
Behavioral Evidence ◽  
Musical Context

Behavioral evidence indicates that musical context facilitates pitch discrimination. In the present study, we sought to determine whether pitch context and its familiarity might affect brain responses to pitch change even at the preattentive level. Ten musicians and 10 nonmusicians, while concentrating on reading a book, were presented with sound stimuli that had an infrequent (p = 15%) pitch shift of 144 Hz. In the familiar condition, the infrequent third-position deviant changed the mode (major vs. minor) of the five-tone pattern. In the unfamiliar condition, patterns were formed from five arithmetically determined tone frequencies, the deviant not causing any change of mode. The no-context condition included only third-position tones. All deviants elicited the change-specific mismatch negativity component of the event-related potentials in both groups of subjects. In both musicians and nonmusicians, pitch change in the familiar condition evoked larger mismatch negativity amplitude than the change in the unfamiliar condition and, correspondingly, larger mismatch negativity in the unfamiliar condition than in the no-context condition. This suggests that preattentive pitch-change processing is generally enhanced in a familiar context. Moreover, the latency of the mismatch negativity was shorter for musicians than for nonmusicians in both the familiar and unfamiliar conditions, whereas no difference between groups was observed in the no-context condition. This finding indicates that, in response to sequential structured sound events, the auditory system reacts faster in musicians than in nonmusicians.

scholarly journals The role of contextual materials in object recognition

2021 ◽  
Author(s):  
Tim Lauer ◽  
Filipp Schmidt ◽  
Melissa L.-H. Vo
Keyword(s):  
Object Recognition ◽  
Context Effects ◽  
Event Related Potentials ◽  
Object Processing ◽  
Scene Context ◽  
Consistency Effect ◽  
Related Potentials ◽  
Color Control ◽  
Inconsistent Objects

While scene context is known to facilitate object recognition, little is known about whichcontextual “ingredients” are at the heart of this phenomenon. Here, we address the question ofwhether the materials that frequently occur in scenes (e.g., tiles in bathroom) associated withspecific objects (e.g., a perfume) are relevant for processing of that object. To this end, wepresented photographs of consistent and inconsistent objects (e.g., perfume vs. pinecone)superimposed on scenes (e.g., bathroom) and close-ups of materials (e.g., tiles). In Experiment1, consistent objects on scenes were named more accurately than inconsistent ones, while therewas only a marginal consistency effect for objects on materials. Also, we did not find anyconsistency effect for scrambled materials that served as color control condition. In Experiment2, we recorded event-related potentials (ERPs) and found N300/N400 responses – markers ofsemantic violations – for objects on inconsistent relative to consistent scenes. Critically, objectson materials triggered N300/N400 responses of similar magnitudes. Our findings show thatcontextual materials indeed affect object processing – even in the absence of spatial scenestructure and object content – suggesting that material is one of the contextual “ingredients”driving scene context effects.

scholarly journals Task Switching and Novelty Processing Activate a Common Neural Network for Cognitive Control

2006 ◽  
Vol 18 (10) ◽  
pp. 1734-1748 ◽  
Author(s):  
Francisco Barcelo ◽  
Carles Escera ◽  
Maria J. Corral ◽  
Jose A. Periáñez
Keyword(s):  
Neural Network ◽  
Task Switching ◽  
Response Selection ◽  
Principal Component ◽  
Event Related Potentials ◽  
Task Switch ◽  
Task Condition ◽  
Novelty P3 ◽  
Related Potentials ◽  
And Task

The abrupt onset of a novel event captures attention away from, and disrupts, ongoing task performance. Less obvious is that intentional task switching compares with novelty-induced behavioral distraction. Here we explore the hypothesis that intentional task switching and attentional capture by a novel distracter both activate a common neural network involved in processing contextual novelty [Barcelo, F., Periáñez, J. A., & Knight, R. T. Think differently: A brain orienting response to task novelty. NeuroReport, 13, 1887–1892, 2002.]. Event-related potentials were recorded in two task-cueing paradigms while 16 subjects sorted cards following either two (color or shape; two-task condition) or three (color, shape, or number; three-task condition) rules of action. Each card was preceded by a familiar tone cueing the subject either to switch or to repeat the previous rule. Novel sound distracters were interspersed in one of two blocks of trials in each condition. Both novel sounds and task-switch cues impaired responses to the following visual target. Novel sounds elicited novelty P3 potentials with their usual peak latency and frontal-central scalp distribution. Familiar tonal switch cues in the three- and two-task conditions elicited brain potentials with a similar latency and morphology as the novelty P3, but with relatively smaller amplitudes over frontal scalp regions. Covariance and principal component analyses revealed a sustained frontal negative potential that was distorting concurrent novelty P3 activity to the tonal switch cues. When this frontal negativity was statistically removed, P3 potentials to novel sounds and task-switch cues showed similar scalp topographies. The degree of activation in the novelty P3 network seemed to be a function of the information (entropy) conveyed by the eliciting stimulus for response selection, over and above its relative novelty, probability of occurrence, task relevance, or feedback value. We conclude that novelty P3 reflects transient activation in a neural network involved in updating task set information for goal-directed action selection and might thus constitute one key element in a central bottleneck for attentional control.

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