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11 results for “perceptual decision making”

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zenodo40/100

Magnetoencephalographic spectral fingerprints differentiate evidence accumulation from saccadic motor preparation in perceptual decision-making

<p>This repository contains the dataset of the paper &quot;Magnetoencephalographic spectral fingerprints differentiate evidence accumulation<br> from saccadic motor preparation in perceptual decision-making&quot;.</p> <p>The dataset contains the MEG power spectrum of 16 subjects in the source space of a perceptual decision making experiment.</p>

opencc-by-4.0Jul 2022View details →
zenodo40/100

Dataset of TMLR 2024 Paper "Perceptual Similarity for Measuring Decision-Making Style and Policy Diversity in Games"

<p>This is a part of dataset of the paper published in TMLR 2024 (Transactions on Machine Learning Research,&nbsp;<a href="https://jmlr.org/tmlr/" target="_blank" rel="noopener">https://jmlr.org/tmlr/</a>).</p> <p>The example program for using this file will be put on the author's github repo branch: <a href="https://github.com/DSobscure/cgi_drl_platform/tree/game_balance_measures_tmlr" target="_blank" rel="noopener">https://github.com/DSobscure/cgi_drl_platform/tree/playstyle_similarity_tmlr</a></p> <p>&nbsp;</p>

opencc-by-4.0Aug 2024View details →
dryad36/100

Data from: Transitions in dynamical regime and neural mode underlie perceptual decision-making

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publicMay 2025View details →
ClinicalTrials.gov32/100

Effect of a Plant Based Nootropic on Perceptual Decision Making.

ClinicalTrials.gov study NCT06689644. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
dryad28/100

Data from: Pupil-linked arousal determines variability in perceptual decision making

Decision making between several alternatives is thought to involve the gradual accumulation of evidence in favor of each available choice. This process is profoundly variable even for nominally identical stimuli, yet the neuro-cognitive substrates that determine the magnitude of this variability are poorly understood. Here, we demonstrate that arousal state is a powerful determinant of variability in perceptual decision making. We measured pupil size, a highly sensitive index of arousal, while human subjects performed a motion-discrimination task, and decomposed task behavior into latent decision making parameters using an established computational model of the decision process. In direct contrast to previous theoretical accounts specifying a role for arousal in several discrete aspects of decision making, we found that pupil diameter was uniquely related to a model parameter representing variability in the rate of decision evidence accumulation: Periods of increased pupil size, reflecting heightened arousal, were characterized by greater variability in accumulation rate. Pupil diameter also correlated trial-by-trial with specific patterns of behavior that collectively are diagnostic of changing accumulation rate variability, and explained substantial individual differences in this computational quantity. These findings provide a uniquely clear account of how arousal state impacts decision making, and may point to a relationship between pupil-linked neuromodulation and behavioral variability. They also pave the way for future studies aimed at augmenting the precision with which people make decisions.

opencc-zeroDec 2013View details →
zenodo28/100

Research data supporting: Decreasing alertness modulates perceptual decision-making

<p>The zip file contains research data supporting the paper: Decreasing alertness modulates perceptual decision-making<br> The files are arranged in the following manner:</p> <ol> <li>The raw data is present for 32 subjects used in the analysis.<br> &nbsp; &nbsp;Each subject has a directory, for e.g. s_02&nbsp;<br> &nbsp; &nbsp;a) Inside this directory, there are two directories:<br> &nbsp; &nbsp; &nbsp; awake: s_02_awake<br> &nbsp; &nbsp; &nbsp; drowsy: s_02_drowsy<br> &nbsp; &nbsp;b) The awake file has 124 trials, and the drowsy has 740 trials<br> &nbsp; &nbsp;c) The files are .mff format (egi) and the coding is as follows:<br> &nbsp; &nbsp; &nbsp; &#39;tone&#39; - stimulus, &#39;RESP&#39; - response.&nbsp;<br> &nbsp; &nbsp; &nbsp; &nbsp;Each &#39;tone&#39; is followed by a &#39;DIN2&#39; marker, that marks when the stimulus was actually presented.</li> <li>&nbsp;&#39;summary_Righthanders.csv&#39; contains the other details for all subjects, with subject id and whether the data was<br> &nbsp; &nbsp;actually used for the analysis or not.</li> </ol>

opencc-by-4.0Nov 2021View details →
dryad28/100

Data from: Pupil-linked arousal determines variability in perceptual decision making

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publicAug 2015View details →
dryad28/100

Tuned inhibition in perceptual decision-making circuits can explain seemingly suboptimal confidence behavior: S4 data, evidence for tuned inhibition in macaque superior colliculus

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publicMar 2021View details →
dryad24/100

Data from: Evidence accumulation and choice maintenance are dissociated in human perceptual decision making

Perceptual decision making in monkeys relies on decision neurons, which accumulate evidence and maintain choices until a response is given. In humans, several brain regions have been proposed to accumulate evidence, but it is unknown if these regions also maintain choices. To test if accumulator regions in humans also maintain decisions we compared delayed and self-paced responses during a face/house discrimination decision making task. Computational modeling and fMRI results revealed dissociated processes of evidence accumulation and decision maintenance, with potential accumulator activations found in the dorsomedial prefrontal cortex, right inferior frontal gyrus and bilateral insula. Potential maintenance activation spanned the frontal pole, temporal gyri, precuneus and the lateral occipital and frontal orbital cortices. Results of a quantitative reverse inference meta-analysis performed to differentiate the functions associated with the identified regions did not narrow down potential accumulation regions, but suggested that response-maintenance might rely on a verbalization of the response.

opencc-zeroDec 2014View details →
ClinicalTrials.gov24/100

Perceptual Decision Making Under Conditions of Visual Uncertainty

ClinicalTrials.gov study NCT01845883. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad24/100

Data from: Evidence accumulation and choice maintenance are dissociated in human perceptual decision making

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publicOct 2016View details →

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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.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record