scholarly journals Attention is more than prediction precision

2013 ◽  
Vol 36 (3) ◽  
pp. 206-208 ◽  
Author(s):  
Howard Bowman ◽  
Marco Filetti ◽  
Brad Wyble ◽  
Christian Olivers
Keyword(s):  
Prediction Error ◽  
Predictive Coding ◽  
Event Related Potentials ◽  
Evoked Responses ◽  
Target Article ◽  
Related Potentials

AbstractA cornerstone of the target article is that, in a predictive coding framework, attention can be modelled by weighting prediction error with a measure of precision. We argue that this is not a complete explanation, especially in the light of ERP (event-related potentials) data showing large evoked responses for frequently presented target stimuli, which thus are predicted.

scholarly journals Attention and prediction modulations in expected and unexpected visuospatial trajectories

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0242753
Author(s):  
Kristen S. Baker ◽  
Alan J. Pegna ◽  
Naohide Yamamoto ◽  
Patrick Johnston
Keyword(s):  
Visual Information ◽  
Prediction Error ◽  
Coding Theory ◽  
Predictive Coding ◽  
Real Life ◽  
Event Related Potentials ◽  
Visual Display ◽  
Spatial Location ◽  
Prior Context ◽  
Related Potentials

Humans are constantly exposed to a rich tapestry of visual information in a potentially changing environment. To cope with the computational burden this engenders, our perceptual system must use prior context to simultaneously prioritise stimuli of importance and suppress irrelevant surroundings. This study investigated the influence of prediction and attention in visual perception by investigating event-related potentials (ERPs) often associated with these processes, N170 and N2pc for prediction and attention, respectively. A contextual trajectory paradigm was used which violated visual predictions and neglected to predetermine areas of spatial interest, to account for the potentially unpredictable nature of a real-life visual scene. Participants (N = 36) viewed a visual display of cued and non-cued shapes rotating in a five-step predictable trajectory, with the fifth and final position of either the cued or non-cued shape occurring in a predictable or unpredictable spatial location. To investigate the predictive coding theory of attention we used factors of attention and prediction, whereby attention was manipulated as either cued or non-cued conditions, and prediction manipulated in either predictable or unpredictable conditions. Results showed both enhanced N170 and N2pc amplitudes to unpredictable compared to predictable stimuli. Stimulus cueing status also increased N170 amplitude, but this did not interact with stimulus predictability. The N2pc amplitude was not affected by stimulus cueing status. In accordance with previous research these results suggest the N170 is in part a visual prediction error response with respect to higher-level visual processes, and furthermore the N2pc may index attention reorientation. The results demonstrate prior context influences the sensitivity of the N170 and N2pc electrophysiological responses. These findings add further support to the role of N170 as a prediction error signal and suggest that the N2pc may reflect attentional reorientation in response to unpredicted stimulus locations.

scholarly journals The encoding of stochastic regularities is facilitated by action-effect predictions

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Betina Korka ◽  
Erich Schröger ◽  
Andreas Widmann
Keyword(s):  
Coding Theory ◽  
Predictive Coding ◽  
Event Related Potentials ◽  
Random Order ◽  
Generative Models ◽  
Higher Order ◽  
Action Effect ◽  
Related Potentials ◽  
Sensory Prediction ◽  
Action Intention

AbstractOur brains continuously build and update predictive models of the world, sources of prediction being drawn for example from sensory regularities and/or our own actions. Yet, recent results in the auditory system indicate that stochastic regularities may not be easily encoded when a rare medium pitch deviant is presented between frequent high and low pitch standard sounds in random order, as reflected in the lack of sensory prediction error event-related potentials [i.e., mismatch negativity (MMN)]. We wanted to test the implication of the predictive coding theory that predictions based on higher-order generative models—here, based on action intention, are fed top-down in the hierarchy to sensory levels. Participants produced random sequences of high and low pitch sounds by button presses in two conditions: In a “specific” condition, one button produced high and the other low pitch sounds; in an “unspecific” condition, both buttons randomly produced high or low-pitch sounds. Rare medium pitch deviants elicited larger MMN and N2 responses in the “specific” compared to the “unspecific” condition, despite equal sound probabilities. These results thus demonstrate that action-effect predictions can boost stochastic regularity-based predictions and engage higher-order deviance detection processes, extending previous notions on the role of action predictions at sensory levels.

scholarly journals Short- and long-term habituation of auditory event-related potentials in the rat

F1000Research ◽  
2013 ◽  
Vol 2 ◽  
pp. 182
Author(s):  
Kestutis Gurevicius ◽  
Arto Lipponen ◽  
Rimante Minkeviciene ◽  
Heikki Tanila
Keyword(s):  
Mismatch Negativity ◽  
Standard Stimulus ◽  
Specific Effect ◽  
Event Related Potentials ◽  
Auditory Evoked Potential ◽  
Oddball Paradigm ◽  
Evoked Responses ◽  
Auditory Oddball ◽  
Long Duration ◽  
Related Potentials

An auditory oddball paradigm in humans generates a long-duration cortical negative potential, often referred to as mismatch negativity. Similar negativity has been documented in monkeys and cats, but it is controversial whether mismatch negativity also exists in awake rodents. To this end, we recorded cortical and hippocampal evoked responses in rats during alert immobility under a typical passive oddball paradigm that yields mismatch negativity in humans. The standard stimulus was a 9 kHz tone and the deviant either 7 or 11 kHz tone in the first condition. We found no evidence of a sustained potential shift when comparing evoked responses to standard and deviant stimuli. Instead, we found repetition-induced attenuation of the P60 component of the combined evoked response in the cortex, but not in the hippocampus. The attenuation extended over three days of recording and disappeared after 20 intervening days of rest. Reversal of the standard and deviant tones resulted is a robust enhancement of the N40 component not only in the cortex but also in the hippocampus. Responses to standard and deviant stimuli were affected similarly. Finally, we tested the effect of scopolamine in this paradigm. Scopolamine attenuated cortical N40 and P60 as well as hippocampal P60 components, but had no specific effect on the deviant response. We conclude that in an oddball paradigm the rat demonstrates repetition-induced attenuation of mid-latency responses, which resembles attenuation of the N1-component of human auditory evoked potential, but no mismatch negativity.

scholarly journals Electrophysiological correlates of perceptual prediction error are attenuated in dyslexia

2021 ◽  
Author(s):  
Sara D. Beach ◽  
Sung-Joo Lim ◽  
Carlos Cardenas-Iniguez ◽  
Marianna D. Eddy ◽  
John D. E. Gabrieli ◽  
...  
Keyword(s):  
Prediction Error ◽  
High Probability ◽  
Event Related Potentials ◽  
Control Group ◽  
Perceptual Adaptation ◽  
Stimulus Repetition ◽  
Learning Abilities ◽  
Wide Range ◽  
Related Potentials ◽  
The Difference

A perceptual adaptation deficit often accompanies reading difficulty in dyslexia, manifesting in poor perceptual learning of consistent stimuli and reduced neurophysiological adaptation to stimulus repetition. However, it is not known how adaptation deficits relate to differences in feedforward or feedback processes in the brain. Here we used electroencephalography (EEG) to interrogate the feedforward and feedback contributions to neural adaptation as adults with and without dyslexia viewed pairs of faces and words in a paradigm that manipulated whether there was a high probability of stimulus repetition versus a high probability of stimulus change. We measured three neural dependent variables: expectation (the difference between prestimulus EEG power with and without the expectation of stimulus repetition), feedforward repetition (the difference between event-related potentials (ERPs) evoked by an expected change and an unexpected repetition), and feedback-mediated prediction error (the difference between ERPs evoked by an unexpected change and an expected repetition). Expectation significantly modulated prestimulus theta- and alpha-band EEG in both groups. Unexpected repetitions of words, but not faces, also led to significant feedforward repetition effects in the ERPs of both groups. However, neural prediction error when an unexpected change occurred instead of an expected repetition was significantly weaker in dyslexia than the control group for both faces and words. These results suggest that the neural and perceptual adaptation deficits observed in dyslexia reflect the failure to effectively integrate perceptual predictions with feedforward sensory processing. In addition to reducing perceptual efficiency, the attenuation of neural prediction error signals would also be deleterious to the wide range of perceptual and procedural learning abilities that are critical for developing accurate and fluent reading skills.

The Event-Related Potentials Responding to Outcome Valence and Expectancy Violation during Feedback Processing

2020 ◽  
Author(s):  
Yan Gu ◽  
Tianliang Liu ◽  
Xuemeng Zhang ◽  
Quanshan Long ◽  
Na Hu ◽  
...  
Keyword(s):  
Prediction Error ◽  
Predictive Accuracy ◽  
Event Related Potentials ◽  
Learning Task ◽  
Absolute Size ◽  
Feedback Processing ◽  
Expectancy Violation ◽  
Outcome Valence ◽  
Related Potentials ◽  
The Impact

Abstract Feedback-related negativity (FRN) is believed to encode reward prediction error (RPE), a term describing whether the outcome is better or worse than expected. However, some studies suggest that it may reflect unsigned prediction error (UPE) instead. Some disagreement remains as to whether FRN is sensitive to the interaction of outcome valence and prediction error (PE) or merely responsive to the absolute size of PE. Moreover, few studies have compared FRN in appetitive and aversive domains to clarify the valence effect or examine PE’s quantitative modulation. To investigate the impact of valence and parametrical PE on FRN, we varied the prediction and feedback magnitudes within a probabilistic learning task in valence (gain and loss domains, Experiment 1) and non-valence contexts (pure digits, Experiment 2). Experiment 3 was identical to Experiment 1 except that some blocks emphasized outcome valence, while others highlighted predictive accuracy. Experiments 1 and 2 revealed a UPE encoder; Experiment 3 found an RPE encoder when valence was emphasized and a UPE encoder when predictive accuracy was highlighted. In this investigation, we demonstrate that FRN is sensitive to outcome valence and expectancy violation, exhibiting a preferential response depending on the dimension that is emphasized.

scholarly journals Event-related potentials reflect prediction errors and pop-out during comprehension of degraded speech

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Leah Banellis ◽  
Rodika Sokoliuk ◽  
Conor J Wild ◽  
Howard Bowman ◽  
Damian Cruse
Keyword(s):  
Prediction Error ◽  
Event Related Potentials ◽  
Event Related Potential ◽  
Prediction Errors ◽  
Top Down ◽  
Degraded Speech ◽  
Related Potentials ◽  
Task Goals ◽  
Post Hoc

Abstract Comprehension of degraded speech requires higher-order expectations informed by prior knowledge. Accurate top-down expectations of incoming degraded speech cause a subjective semantic ‘pop-out’ or conscious breakthrough experience. Indeed, the same stimulus can be perceived as meaningless when no expectations are made in advance. We investigated the event-related potential (ERP) correlates of these top-down expectations, their error signals and the subjective pop-out experience in healthy participants. We manipulated expectations in a word-pair priming degraded (noise-vocoded) speech task and investigated the role of top-down expectation with a between-groups attention manipulation. Consistent with the role of expectations in comprehension, repetition priming significantly enhanced perceptual intelligibility of the noise-vocoded degraded targets for attentive participants. An early ERP was larger for mismatched (i.e. unexpected) targets than matched targets, indicative of an initial error signal not reliant on top-down expectations. Subsequently, a P3a-like ERP was larger to matched targets than mismatched targets only for attending participants—i.e. a pop-out effect—while a later ERP was larger for mismatched targets and did not significantly interact with attention. Rather than relying on complex post hoc interactions between prediction error and precision to explain this apredictive pattern, we consider our data to be consistent with prediction error minimization accounts for early stages of processing followed by Global Neuronal Workspace-like breakthrough and processing in service of task goals.

scholarly journals Somatosensory Deviance Detection ERPs and Their Relationship to Analogous Auditory ERPs and Interoceptive Accuracy

2021 ◽  
Author(s):  
Elina S. Kangas ◽  
Elisa Vuoriainen ◽  
Xueqiao Li ◽  
Pessi Lyyra ◽  
Piia Astikainen
Keyword(s):  
Coding Theory ◽  
Predictive Coding ◽  
Sound Intensity ◽  
Event Related Potentials ◽  
Functional Relationships ◽  
Deviance Detection ◽  
Brain Responses ◽  
Intensity Changes ◽  
Related Potentials ◽  
Interoceptive Accuracy

Abstract. Automatic deviance detection has been widely explored in terms of mismatch responses (mismatch negativity or mismatch response) and P3a components of event-related potentials (ERPs) under a predictive coding framework; however, the somatosensory mismatch response has been investigated less often regarding the different types of changes than its auditory counterpart. It is not known whether the deviance detection responses from different modalities correlate, reflecting a general prediction error mechanism of the central nervous system. Furthermore, interoceptive functions have been associated with predictive coding theory, but whether interoceptive accuracy correlates with deviance detection brain responses has rarely been investigated. Here, we measured ERPs to changes in somatosensory stimuli’s location and intensity and in sound intensity in healthy adults ( n = 34). Interoceptive accuracy was measured with a heartbeat discrimination task, where participants indicated whether their heartbeats were simultaneous or non-simultaneous with sound stimuli. We found a mismatch response and a P3a response to somatosensory location and auditory intensity changes, but for somatosensory intensity changes, only a P3a response was found. Unexpectedly, there were neither correlations between the somatosensory location deviance and intensity deviance brain responses nor between auditory and somatosensory brain responses. In addition, the brain responses did not correlate with interoceptive accuracy. The results suggest that although deviance detection in the auditory and somatosensory modalities are likely based on similar neural mechanisms at a cellular level, their ERP indexes do not indicate a linear association in sensitivity for deviance detection between the modalities. Furthermore, although sensory deviance detection and interoceptive detection are both associated with predictive coding functions, under these experimental settings, functional relationships were not observed. These results should be taken into account in the future development of theories related to human sensory functions and in extensions of the predictive coding theory in particular.

scholarly journals Temporal expectations modulate face image repetition suppression as indexed by event-related potentials

2018 ◽  
Author(s):  
Daniel Feuerriegel ◽  
Owen Churches ◽  
Scott Coussens ◽  
Hannah A.D. Keage
Keyword(s):  
Time Course ◽  
Predictive Coding ◽  
Event Related Potentials ◽  
Stimulus Onset ◽  
Face Image ◽  
Repetition Effects ◽  
Temporal Expectation ◽  
Repetition Suppression ◽  
Test Face ◽  
Related Potentials

AbstractRepeated exposure to a stimulus leads to reduced responses of stimulus-selective sensory neurons, an effect known as repetition suppression or stimulus-specific adaptation. Several influential models have been proposed to explain repetition suppression within hierarchically-organised sensory systems, with each specifying different mechanisms underlying repetition effects. We manipulated temporal expectations within a face repetition experiment to test a critical prediction of the predictive coding model of repetition suppression: that repetition effects will be larger following stimuli that appear at expected times compared to stimuli that appear at unexpected times. We recorded event-related potentials from 18 participants and mapped the spatiotemporal progression of repetition effects using mass univariate analyses. We then assessed whether the magnitudes of observed face image repetition effects were influenced by temporal expectations. In each trial participants saw an adapter face, followed by a 500ms or 1000ms interstimulus interval (ISI), and then a test face, which was the same or a different face identity to the adapter. Participants’ expectations for whether the test face would appear after a 500ms ISI were cued by the sex of the adapter face. Our analyses revealed multiple repetition effects with distinct scalp topographies, extending until at least 800ms from stimulus onset. An early (158-203ms) repetition effect was larger for stimuli following surprising, rather than expected, 500ms ISI durations, contrary to the model predictions of the predictive coding model of repetition suppression. Later (230-609ms) repetition effects tended to be larger following expected stimulus onset times, in line with predictive coding models. Our results indicate that the relationship between repetition suppression and temporal expectation differs across the time course of the stimulus-evoked response, suggesting multiple distinct mechanisms driving repetition suppression that operate at different latencies within the visual hierarchy.Highlights- Multiple face image repetition effects identified from 162-800ms post stimulus onset- Temporal expectations influenced the magnitudes of repetition effects- Temporal expectation effects differed for early and late stimulus-evoked responses

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