The auditory N1 suppression rebounds as prediction persists over time

Hsu, Yi Fang; Hämäläinen, Jarmo A.; Waszak, Florian

doi:10.1016/j.neuropsychologia.2016.02.019

Cited by 15 publications

(16 citation statements)

References 43 publications

(70 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One would expect that P1a decrease would become larger throughout the rest of the sequence, as evidence accumulates and PE reduces. However, this decrease was instead followed by an amplitude increase, in agreement with previous results where similar rebounds in PE-related activity were observed in series of repetitive 6 and regular, predictable stimuli 4 . In those experiments, the first stimulus completely predicted the rest of the sequence, which led authors to hypothesize that the rebound effect could result from the increased confidence in predictions sharpening neural anticipatory activity around the preferred prediction, leading to paradoxical PE increase insofar as predictions are rarely absolutely precise 4 .…”

Section: Discussionsupporting

confidence: 92%

“…However, this decrease was instead followed by an amplitude increase, in agreement with previous results where similar rebounds in PE-related activity were observed in series of repetitive 6 and regular, predictable stimuli 4 . In those experiments, the first stimulus completely predicted the rest of the sequence, which led authors to hypothesize that the rebound effect could result from the increased confidence in predictions sharpening neural anticipatory activity around the preferred prediction, leading to paradoxical PE increase insofar as predictions are rarely absolutely precise 4 . Our results extend their findings in that in our task observers needed to update their predictions as information accumulated after each new stimulus, given that uncertainty steadily decreased as more items were presented and only the last stimulus in the predictable series became fully predictable.…”

Section: Discussionsupporting

confidence: 92%

“…Thereby, in a stable context predictions are expected to become progressively more accurate as more information about the regularities of the environment is provided over time. Surprisingly, this issue has been rarely addressed in previous studies 3 , 4 . The present work is meant to fill this gap.…”

Section: Introductionmentioning

confidence: 92%

See 2 more Smart Citations

Predictions through evidence accumulation over time

Darriba

Waszak

2018

Sci Rep

Self Cite

View full text Add to dashboard Cite

It has been proposed that the brain specializes in predicting future states of the environment. These predictions are probabilistic, and must be continuously updated on the basis of their mismatch with actual evidence. Although electrophysiological data disclose neural activity patterns in relation to predictive processes, little is known about how this activity supports prediction build-up through evidence accumulation. Here we addressed this gap. Participants were required to make moment-by-moment predictions about stimuli presented in sequences in which gathering evidence from previous items as they were presented was either possible or not. Two event-related potentials (ERP), a frontocentral P2 and a central P3, were sensitive to information accumulation throughout the sequence. Time-frequency (TF) analyses revealed that prediction build-up process also modulated centrally distributed theta activity, and that alpha power was suppressed in anticipation to fully predictable stimuli. Results are in agreement with the notion of predictions as probability distributions and highlight the ability of observers to extract those probabilities in a changing environment and to adjust their predictions consequently.

show abstract

Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 92%

See 1 more Smart Citation

Predictions through evidence accumulation over time

Darriba

Waszak

2018

Sci Rep

Self Cite

View full text Add to dashboard Cite

show abstract

“…In electrophysiology literature, N1/N1m is known to reflect multiple processes of signaling unspecific changes in the auditory environment (Näätänen and Picton, 1987; Crowley and Colrain, 2004). Mounting evidence of the N1/N1m predictability effect further supports that it indicates the operation of an internal predictive mechanism, as predicted stimuli were associated with robust N1/N1m suppression (Schafer and Marcus, 1973; Schafer et al, 1981; Lange, 2009; Todorovic et al, 2011; Todorovic and de Lange, 2012; SanMiguel et al, 2013; Timm et al, 2013; Hsu et al, 2014a,b, 2016). Our findings confirm previous research by showing that such predictability effects resemble each other in low and high precision contexts, where prediction error is weighted differently.…”

Section: Discussionmentioning

confidence: 79%

Prior Precision Modulates the Minimization of Auditory Prediction Error

Hsu

Waszak

Hämäläinen

2019

Front. Hum. Neurosci.

Self Cite

View full text Add to dashboard Cite

The predictive coding model of perception proposes that successful representation of the perceptual world depends upon canceling out the discrepancy between prediction and sensory input (i.e., prediction error). Recent studies further suggest a distinction to be made between prediction error triggered by non-predicted stimuli of different prior precision (i.e., inverse variance). However, it is not fully understood how prediction error with different precision levels is minimized in the predictive process. Here, we conducted a magnetoencephalography (MEG) experiment which orthogonally manipulated prime-probe relation (for contextual precision) and stimulus repetition (for perceptual learning which decreases prediction error). We presented participants with cycles of tone quartets which consisted of three prime tones and one probe tone of randomly selected frequencies. Within each cycle, the three prime tones remained identical while the probe tones changed once at some point (e.g., from repetition of 123X to repetition of 123Y). Therefore, the repetition of probe tones can reveal the development of perceptual inferences in low and high precision contexts depending on their position within the cycle. We found that the two conditions resemble each other in terms of N1m modulation (as both were associated with N1m suppression) but differ in terms of N2m modulation. While repeated probe tones in low precision context did not exhibit any modulatory effect, repeated probe tones in high precision context elicited a suppression and rebound of the N2m source power. The differentiation suggested that the minimization of prediction error in low and high precision contexts likely involves distinct mechanisms.

show abstract

“…Body gestures, facial expressions, and especially finger and hand movements that require a high level of temporal and spatial accuracy are also involved in music perception. This information provides visual cues which assist the intelligibility of music (Thompson et al, 2005;Molnar-Szakacs and Overy, 2006;Repp and Knoblich, 2009;Behne and Wöllner, 2011;Platz and Kopiez, 2012;Maes et al, 2014), as has similarly been observed for speech (Klucharev et al, 2003;Schwartz et al, 2004;Van Wassenhove et al, 2005;Stekelenburg and Vroomen, 2007;Arnal et al, 2009;Pilling, 2009;Paris et al, 2013Paris et al, , 2016aBaart and Samuel, 2015;Biau and Soto-Faraco, 2015;Hsu et al, 2016). For example, in audiovisual (AV) speech a talker's facial articulations begin before the sound onset, providing a perceiver with potential cues to predict the upcoming speech sound, and thereby enhance AV speech perception relative to the audio only (Besle et al, 2004;Schwartz et al, 2004;Paris et al, 2013).…”

Section: Introductionmentioning

confidence: 82%

Audiovisual Modulation in Music Perception for Musicians and Non-musicians

Sorati

Behne

2020

Front. Psychol.

View full text Add to dashboard Cite

In audiovisual music perception, visual information from a musical instrument being played is available prior to the onset of the corresponding musical sound and consequently allows a perceiver to form a prediction about the upcoming audio music. This prediction in audiovisual music perception, compared to auditory music perception, leads to lower N1 and P2 amplitudes and latencies. Although previous research suggests that audiovisual experience, such as previous musical experience may enhance this prediction, a remaining question is to what extent musical experience modifies N1 and P2 amplitudes and latencies. Furthermore, corresponding event-related phase modulations quantified as inter-trial phase coherence (ITPC) have not previously been reported for audiovisual music perception. In the current study, audio video recordings of a keyboard key being played were presented to musicians and non-musicians in audio only (AO), video only (VO), and audiovisual (AV) conditions. With predictive movements from playing the keyboard isolated from AV music perception (AV-VO), the current findings demonstrated that, compared to the AO condition, both groups had a similar decrease in N1 amplitude and latency, and P2 amplitude, along with correspondingly lower ITPC values in the delta, theta, and alpha frequency bands. However, while musicians showed lower ITPC values in the beta-band in AV-VO compared to the AO, non-musicians did not show this pattern. Findings indicate that AV perception may be broadly correlated with auditory perception, and differences between musicians and non-musicians further indicate musical experience to be a specific factor influencing AV perception. Predicting an upcoming sound in AV music perception may involve visual predictory processes, as well as beta-band oscillations, which may be influenced by years of musical training. This study highlights possible interconnectivity in AV perception as well as potential modulation with experience.

show abstract

The auditory N1 suppression rebounds as prediction persists over time

Cited by 15 publications

References 43 publications

Predictions through evidence accumulation over time

Predictions through evidence accumulation over time

Prior Precision Modulates the Minimization of Auditory Prediction Error

Audiovisual Modulation in Music Perception for Musicians and Non-musicians

Contact Info

Product

Resources

About