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40 results for “prediction error”
Data from: Predicted tracking error triggers catch-up saccades during smooth pursuit
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Data from: Detection error influences both temporal seroprevalence predictions and risk factors associations in wildlife disease models
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Data from: The pupillary orienting response predicts adaptive behavioral adjustment after errors
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Dataset: Predictive error processing distinguishes between relevant and irrelevant errors after visuomotor learning
<p>Supplementary Data for <em><strong>Predictive error processing distinguishes between relevant and irrelevant errors after visuomotor learning</strong></em><em><strong> </strong></em>article</p> <p>Dataset associated with the following publication:</p> <p>Maurer, L. K., Joch, M., Hegele, M., Maurer, H. & Müller, H. (2019). Predictive error processing distinguishes between relevant and irrelevant errors after visuomotor learning. <em>Journal of Vision</em>, <em>19(4):18</em>, 1-13. https://doi.org/10.1167/19.4.18</p>
Data from: The representation of prediction error in auditory cortex
To survive, organisms must extract information from the past that is relevant for their future. How this process is expressed at the neural level remains unclear. We address this problem by developing a novel approach from first principles. We show here how to generate low-complexity representations of the past that produce optimal predictions of future events. We then illustrate this framework by studying the coding of 'oddball' sequences in auditory cortex. We find that for many neurons in primary auditory cortex, trial-by-trial fluctuations of neuronal responses correlate with the theoretical prediction error calculated from the short-term past of the stimulation sequence, under constraints on the complexity of the representation of this past sequence. In some neurons, the effect of prediction error accounted for more than 50% of response variability. Reliable predictions often depended on a representation of the sequence of the last ten or more stimuli, although the representation kept only few details of that sequence.
Data for Streaming prediction-error filters
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Dopamine Receptor Contributions to Prediction Error and Reversal Learning in Anorexia Nervosa
ClinicalTrials.gov study NCT04128683. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: The representation of prediction error in auditory cortex
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Machine-learning method for predicting the scanning parameters influence on random measurement error
<p>Data acompaniing the study.</p>
Data from: EEG theta dynamics within frontal and parietal cortices for error processing during reaching movements in a prism adaptation study altering visuo-motor predictive planning
Modulation of frontal midline theta (fmθ) is observed during error commission, but little is known about the role of theta oscillations in correcting motor behaviours. We investigate EEG activity of healthy partipants executing a reaching task under variable degrees of prism-induced visuo-motor distortion and visual occlusion of the initial arm trajectory. This task introduces directional errors of different magnitudes. The discrepancy between predicted and actual movement directions (i.e. the error), at the time when visual feedback (hand appearance) became available, elicits a signal that triggers on-line movement correction. Analysis were performed on 25 EEG channels. For each participant, the median value of the angular error of all reaching trials was used to partition the EEG epochs into high- and low-error conditions. We computed event-related spectral perturbations (ERSP) time-locked either to visual feedback or to the onset of movement correction. ERSP time-locked to the onset of visual feedback showed that fmθ increased in the high- but not in the low-error condition with an approximate time lag of 200 ms. Moreover, when single epochs were sorted by the degree of motor error, fmθ started to increase when a certain level of error was exceeded and, then, scaled with error magnitude. When ERSP were time-locked to the onset of movement correction, the fmθ increase anticipated this event with an approximate time lead of 50 ms. During successive trials, an error reduction was observed which was associated with indices of adaptations (i.e., aftereffects) suggesting the need to explore if theta oscillations may facilitate learning. To our knowledge this is the first study where the EEG signal recorded during reaching movements was time-locked to the onset of the error visual feedback. This allowed us to conclude that theta oscillations putatively generated by anterior cingulate cortex activation are implicated in error processing in semi-naturalistic motor behaviours.
Data from: Prediction error and repetition suppression have distinct effects on neural representations of visual information
Predictive coding theories argue that recent experience establishes expectations in the brain that generate prediction errors when violated. Prediction errors provide a possible explanation for repetition suppression, where evoked neural activity is attenuated across repeated presentations of the same stimulus. The predictive coding account argues repetition suppression arises because repeated stimuli are expected, whereas non-repeated stimuli are unexpected and thus elicit larger neural responses. Here we employed electroencephalography in humans to test the predictive coding account of repetition suppression by presenting sequences of visual gratings with orientations that were expected either to repeat or change in separate blocks of trials. We applied multivariate forward modelling to determine how orientation selectivity was affected by repetition and prediction. Unexpected stimuli were associated with significantly enhanced orientation selectivity, whereas selectivity was unaffected for repeated stimuli. Our results suggest that repetition suppression and expectation have separable effects on neural representations of visual feature information.
Reward is not Reward: Differential Impacts of Primary and Secondary Rewards on Expectation, Outcome, and Prediction Error in the Human Brain's Reward Processing Regions
<p>Raw data accompanying the following article:</p><p>Ulrich, M., Rüger, A., Durner, V., Grön, G., & Graf, H. (2023). Reward is not reward: Differential impacts of primary and secondary rewards on expectation, outcome, and prediction error in the human brain's reward processing regions. <i>Neuroimage</i>, 283, 120440. doi:10.1016/j.neuroimage.2023.120440</p>
Predicting Future Errors During Skill Performance
ClinicalTrials.gov study NCT06707207. IPD Sharing: YES. Countries: 1. Publications: 0.
Auditory Prediction and Error Evaluation in the Speech of Individuals Who Stutter
ClinicalTrials.gov study NCT06181149. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Developing an EEG Paradigm to Study Prediction Error in Anorexia Nervosa
ClinicalTrials.gov study NCT04583774. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Prediction error induced motor contagions in human behaviors
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Data from: Prediction error and repetition suppression have distinct effects on neural representations of visual information
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Data from: EEG theta dynamics within frontal and parietal cortices for error processing during reaching movements in a prism adaptation study altering visuo-motor predictive planning
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Enhancement of the Prediction of Chemotherapy Prescribing Errors for Oncology Patients
ClinicalTrials.gov study NCT02435290. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Multi-formula Optimization of Second Eye Refinement According to Direction of the Prediction Error of the First Eye
ClinicalTrials.gov study NCT02270879. IPD Sharing: Not stated. Countries: 0. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.