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25 results for “shape perception”
Data to "Human shape perception spontaneously discovers the biological origin of novel, but natural, stimuli"
<p>This record contains analysis scripts (written in Matlab) as well as raw and processed data to reproduce the results shown in:</p> <p>Dehn, K.<strong>†</strong>, Maiello, G.<strong>†</strong>, Hartmann, F., Morgenstern, Y., Hawkins, S.J., Offner, T., Walter, J., Hassenklöver, T., Manzini, I., Fleming, R.W. (2024) Human shape perception spontaneously discovers the biological origin of novel, but natural, stimuli. bioRxiv, 2024-12. https://doi.org/10.1101/2024.12.21.629735 </p> <p><em><strong>†</strong>Co-first author</em></p>
Perception of shape and space across rigid transformations
<p>Dataset relative to the following publication:</p> <p>Schmidt, F., Spröte, P., & Fleming, R. W. (2016). Perception of shape and space across rigid transformations. <em>Vision Research, 126</em>, 318-329. <a href="http://dx.doi.org/10.1016/j.visres.2015.04.011"> http://dx.doi.org/10.1016/j.visres.2015.04.011 </a></p> <p>Each folder contains the data relative to one experiment and a text file with comments.</p>
Data for: Collective signalling is shaped by feedbacks between signaller variation, receiver perception, and acoustic environment in a simulated communication network
<p>Communication takes place within a network of multiple signallers and receivers. Social network analysis provides tools to quantify how an individual's social positioning affects group dynamics, and the subsequent biological consequences. However, network analysis is rarely applied to animal communication, likely due to the logistical difficulties of monitoring natural communication networks. We generated a simulated communication network to investigate how variation in individual communication behaviours generates network effects, and how this communication network's structure feeds back to affect future signalling interactions. We simulated competitive acoustic signalling interactions among chorusing individuals and varied several parameters related to communication and chorus size to examine their effects on calling output and social connections. Larger choruses had higher noise levels, and this reduced network density and altered the relationships between individual traits and communication network position. Hearing sensitivity interacted with chorus size to affect both individuals' positions in the network and the acoustic output of the chorus. Physical proximity to competitors influenced signalling, but a distinctive communication network structure emerged when signal active space was limited. Our model raises novel predictions about communication networks that could be tested experimentally, and identifies aspects of information processing in complex environments that remain to be investigated. </p>
Visual Perception of Shape-Transforming Processes: 'Shape Scission'
<p>Dataset relative to the following publication:</p> <p>Schmidt, F., Phillips, F., & Fleming, R. W. (in press). Visual Perception of Shape-Transforming Processes: ‘Shape Scission’. <em>Cognition, 189</em>, 167-180. https://doi.org/10.1016/j.cognition.2019.04.006</p> <p>Each experiment folder contains the data relative to one experiment and a text file with comments. The stimuli folder contains image files of the experimental stimuli.</p>
Data for: Collective signalling is shaped by feedbacks between signaller variation, receiver perception, and acoustic environment in a simulated communication network
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Visual Perception of Complex Shape-Transforming Processes
<p>Dataset relative to the following publication:</p> <p>Schmidt, F., & Fleming, R. W. (2016). Visual Perception of Complex Shape-Transforming Processes. <em>Cognitive Psychology, 90</em>, 48-70. <a href="http://dx.doi.org/10.1016/j.cogpsych.2016.08.002"> http://dx.doi.org/10.1016/j.cogpsych.2016.08.002</a></p> <p>Each folder contains the stimuli and data relative to one experiment and a text file with comments.</p>
Visual perception of shape altered by inferred causal history
<p>Dataset and stimuli relative to the following publication:</p> <p>Spröte, P., Schmidt, F., & Fleming, R. W. (2016). Visual perception of shape altered by inferred causal history. <em>Scientific Reports, 6</em>, 36245. <a href="http://dx.doi.org/10.1038/srep36245"> http://dx.doi.org/10.1038/srep36245</a></p> <p>Each folder contains the data and stimuli relative to one experiment and a text file with comments.</p> <p> </p>
Interests, beliefs, experience, and perceptions shape tolerance towards impacts of recovering predators
<ol> <li>The modification of landscapes is increasing the interface between humans and wildlife, while conflicts concerning predator impacts on human activities persist. Some previously persecuted but now protected predator species are experiencing recovery and range expansion.</li> <li>Tolerance is considered essential for achieving coexistence between humans and wildlife; however, its conceptualisation remains unresolved. Little is known about tolerance in the context of recovering predators, particularly which drivers are relevant to all or specific species and human interests.</li> <li>Using an online questionnaire survey shared with members of organisations with interests in rural land-based activities, we collected data on interests and beliefs, and attitudes, perceptions, experience, and management preferences for six recovering vertebrate predators in the UK (n=819). We created a species tolerance score representing the management choices of the respondents in different conflict scenarios, which differed in the degree of impact on the predator population.</li> <li>Our species tolerance score was characterized by a complex combination of the interests and beliefs of the respondents about wildlife management, perceptions and experience of that species (perceived benefits, population trend, positive and negative experience, indirect negative experience) and negative experience of other recovering predators. </li> <li>We found a tolerance gradient between interest groups with notable overlap between groups with primary interests in wildlife conservation, shooting, farming, and fishing. Although higher perceived benefits consistently corresponded to higher tolerance, having a negative experience of the species dampened the effect of perceived benefits on tolerance. When both negative personal and indirect experiences were reported, tolerance was dramatically reduced. The classification of species from least to most tolerated was consistent between interest groups. </li> <li>The application of our species tolerance score as the normative dimension (i.e., acceptability) in Brenner and Metcalf's (2020) Social Tolerance of Wildlife Framework highlights that tolerance (negative attitude-high acceptability) is potentially rare and more positive attitudes must be achieved before acceptance of the impacts of species can increase. </li> <li>Our findings highlight that considering only primary interests may hinder debates concerning recovering predators. Strategies to reduce negative experiences or change how they are perceived could significantly increase tolerance in combination with increasing positive experiences.</li> </ol>
Thalamocortical interactions shape hierarchical neural variability during stimulus perception dataset
<p>Dataset used in the Thalamocortical interactions shape hierarchical neural variability during stimulus perception article.</p> <p> </p> <p>Dataset contains neural activity recordings of a vibrotactile detection task recorded in four monkeys in the following areas: somatosensory thalamus (VPL), 3b and area 1 of the somatosensory cortex (S1)</p>
Statistical learning shapes pain perception and prediction independently of external cues
<h1>Dataset and code for the relevant analysis and results:</h1> <h3>"Statistical learning shapes pain perception and prediction independently of external cues"</h3> <p>Onysk, J., Whitefield, M., Gregory, N., Jain, M., Turner, G., Seymour, B., Mancini, F. (2024). eLife. <a href="https://doi.org/10.7554/eLife.90634.2">https://doi.org/10.7554/eLife.90634.2</a></p> <h2>1 - data_collection</h2> <p>Contains the code for the psychophysical experiment (PsychToolBox), including the sequence generations scripts.</p> <h2>2 - preprocessing</h2> <p>Contains code that preprocesses behavioural data from PsychToolBox. This includes linear transformation of inputs, exporting data to stan readable format and plotting Supplement figures.</p> <p>- The raw behavioural data can be found in <strong><em>preprocessing/data</em></strong>. Stan ready ready for each condition is found in <strong><em>preprocessing/stan_data</em></strong></p> <h2>3 - model_fit_analysis</h2> <p>Contains stan models used in the paper ('models/'), model fitting code ('fit_models_cs.R) (inlcuding HPC setup in 'hpc/'), initial analysis script for processing stan samples ('primary_analysis_cs.R'), as well as additional analyis scripts ('extra_analysis_cs.R', 'correlation_beh_model_cs.ipynb') that generate figures from the paper and supplement.</p> <p>- The posterior draws for parameters can be found in <em><strong>model_fit_analysis/output/cs_results</strong></em> </p> <h2>4 - model_recovery</h2> <p>Contains code that execute model and parameter recovery analysis ('mp_recovery.R'), including HPC setup ('hpc/'). The 'mp_rec_analyse.R' reproduces model and parameter recovery results from the supplement.</p> <h2>5 - Figures</h2> <p>Contains all the figures from the manuscript and the supplement.</p> <h2>6 - RDS_fits</h2> <p>Contains RStan fit objects for each condition for each model</p>
Implicit visuospatial attention shapes numerosity adaptation and perception
<ul> <li>The folder Dataset contains two subfolders referring to the main experiments. Each subfolder contains additional subfolders In which are stored the single subjects’ data for each experimental condition.</li> </ul> <p>In Experiment 1 each file contains two matlab tables called “TBase” and “TAdapt”. Each row of the table is a trial and each column contains the following information:</p> <p>1<sup>st</sup>: Numerosity of the test stimulus</p> <p>2<sup>nd</sup>: Response</p> <p>3<sup>rd</sup>: Reaction Times</p> <p>4<sup>th</sup>: Accuracy </p> <p>5<sup>th</sup>: Test/Adapt side</p> <p>6<sup>th</sup>: N° of presented Adaptors</p> <p> </p> <p>In Experiment 2 each file contains a single table called “T”. Each row of the table is a trial and each column contains the following information:</p> <p>1<sup>st</sup>: Numerosity of the test stimulus</p> <p>2<sup>nd</sup>: Response</p> <p>3<sup>rd</sup>: Stimulus position</p> <p>4<sup>th</sup>: N° of presented stimuli</p>
Interests, beliefs, experience, and perceptions shape tolerance towards impacts of recovering predators
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Data from: Mortality, perception, and scale: understanding how predation shapes space use in a wild prey population
Attempts to assess behavioral responses of prey to predation risk are often confounded by depredation of prey. Moreover, the scale at which the response of prey is assessed has important implications for discovering how predation risk alters prey behavior. Herein, we assessed space use of wild Ring-necked Pheasants (Phasianus colchicus) in response to spatial and temporal variation in recreational hunting. We radio-marked pheasants and monitored space use at two spatial scales: short-term seasonal home range, and nightly resting locations. Additionally, we considered temporal variation in predation risk by monitoring space use prior to and during the pheasant hunting season. Although we found no change in nightly resting location, pheasants subjected to predation risk expanded their home range and shifted home range location even when invulnerable to predation. Home range formation was plastic, with home ranges expanding and contracting as risk fluctuated before and during the hunting season. Depredation reduced the measured response within the population, obscuring the potential importance of perceived predation risk in shaping prey communities, particularly when not measured at the appropriate scale. By assessing space use of a wild prey population at multiple scales, considering spatial and temporal variation in predation risk, we show that not only does predation risk affect space use, but that the effects at the population level may be challenging to assess when not measured at the appropriate ecological scale because of the direct effects of differential mortality on the same behaviors.
Data from: Predation risk perception, food density and conspecific cues shape foraging decisions in a tropical lizard
When foraging, animals can maximize their fitness if they are able to tailor their foraging decisions to current environmental conditions. When making foraging decisions, individuals need to assess the benefits of foraging while accounting for the potential risks of being captured by a predator. However, whether and how different factors interact to shape these decisions is not yet well understood, especially in individual foragers. Here we present a standardized set of manipulative field experiments in the form of foraging assays in the tropical lizard Anolis cristatellus in Puerto Rico. We presented male lizards with foraging opportunities to test how the presence of conspecifics, predation-risk perception, the abundance of food, and interactions among these factors determines the outcome of foraging decisions. In Experiment 1, anoles foraged faster when food was scarce and other conspecifics were present near the feeding tray, while they took longer to feed when food was abundant and when no conspecifics were present. These results suggest that foraging decisions in anoles are the result of a complex process in which individuals assess predation risk by using information from conspecific individuals while taking into account food abundance. In Experiment 2, a simulated increase in predation risk (i.e., distance to the feeding tray) confirmed the relevance of risk perception by showing that the use of available perches is strongly correlated with the latency to feed. We found Puerto Rican crested anoles integrate instantaneous ecological information about food abundance, conspecific activity and predation risk, and adjust their foraging behavior accordingly.
Neural correlates of top-down modulation of haptic shape versus roughness perception
<p>Exploring an object’s shape by touch also renders information about its surface roughness. It has been suggested that shape and roughness are processed distinctly in the brain, a result based on comparing brain activation when exploring objects that differed in one of these features. To investigate the neural mechanisms of top-down control on haptic perception of shape and roughness, we presented the same multidimensional objects but varied the relevance of each feature. Specifically, participants explored two objects that varied in shape (oblongness of cuboids) and surface roughness. They either had to compare the shape or the roughness in an alternative-forced-choice-task. Moreover, we examined whether the activation strength of the identified brain regions as measured by functional magnetic resonance imaging (fMRI) can predict the behavioral performance in the haptic discrimination task. We observed a widespread network of activation for shape and roughness perception comprising bilateral pre- and postcentral gyrus, cerebellum, and insula. Task-relevance of the object’s shape increased activation in the right supramarginal gyrus (SMG/BA40) and the right precentral gyrus (PreCG/BA44) suggesting that activation in these areas does not merely reflect stimulus-driven processes, such as exploring shape, but also entails top-down controlled processes driven by task-relevance. Moreover, the strength of the SMG/PreCG activation predicted individual performance in the shape but not in the roughness discrimination task. No activation was found for the reversed contrast (roughness > shape). We conclude that macrogeometric properties, such as shape, can be modulated by top-down mechanisms whereas roughness, a microgeometric feature, seems to be processed automatically.</p>
Differences in visual-field sensitivity in the inferior hemifield between the eyes affect three-dimensional shape perception in glaucoma
<p><strong>Raw data repository for the article:</strong></p> <p> </p> <p><strong>Differences in visual-field sensitivity in the inferior hemifield between the eyes affect three-dimensional shape perception in glaucoma</strong></p> <p> </p> <p><strong>Hiromasa Sawamura<sup>1</sup>, Ryo Asaoka<sup>1,2,3,4,5</sup>, Hiroshi Murata<sup>1</sup>, Eriko Ando<sup>1</sup>, Céline R. Gillebert<sup>6</sup>, James T. Todd<sup>7</sup>, Guy A. Orban<sup>8</sup></strong></p> <p> </p> <p><sup>1</sup> Department of Ophthalmology, University of Tokyo Graduate School of Medicine, Tokyo, Japan.</p> <p><sup>2</sup> Department of Ophthalmology, Seirei Hamamatsu General Hospital, Hamamatsu, Shizuoka, Japan.</p> <ol> <li>Seirei Christopher University, Hamamatsu, Shizuoka, Japan.</li> </ol> <p><sup>4</sup> Nanovision Research Division, Research Institute of Electronics, Shizuoka University, Shizuoka Japan.</p> <p><sup>5</sup> The Graduate School for the Creation of New Photonics Industries, Shizuoka Japan.</p> <ol> <li>Department of Brain and Cognition, KU Leuven, Leuven, Belgium.</li> <li>Department of Psychology, The Ohio State University, Columbus, OH, USA.</li> <li>Department of Medicine and Surgery, Neuroscience Unit, University of Parma, Parma, Italy.</li> </ol> <p> </p> <p>Excel data:</p> <p>Binocular Visual-filed sensitivity for 20 subjects: BinocularHFAData.xlsx</p> <p>Visual filed sensitivity in the right eye: OD_HFA_data.xlsx </p> <p>Visual filed sensitivity in the left eye: OS_HFA_data.xlsx</p> <p>Error-in-depth for 20 subjects: ErrorinDepth_20subj.xlsx</p> <p>Results of Simple feature discrimination: Result_SinpleFeatureDiscrimination.xlsx</p>
How do Alpha Oscillations Shape the Perception of Pain? - An EEG-based Neurofeedback Study
ClinicalTrials.gov study NCT05570695. IPD Sharing: YES. Countries: 1. Publications: 8.
Data from: Predation risk perception, food density and conspecific cues shape foraging decisions in a tropical lizard
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Data from: Mortality, perception, and scale: understanding how predation shapes space use in a wild prey population
Open the record for dataset details and reuse information.
Data from: Selective modulation of interhemispheric functional connectivity by HD-tACS shapes perception
Oscillatory neuronal synchronization between cortical areas has been suggested to constitute a flexible mechanism to coordinate information flow in the human cerebral cortex. However, it remains unclear whether synchronized neuronal activity merely represents an epiphenomenon or whether it is causally involved in the selective gating of information. Here, we combined bilateral high-density transcranial alternating current stimulation (HD-tACS) at 40 Hz with simultaneous electroencephalographic (EEG) recordings to study immediate electrophysiological effects during the selective entrainment of oscillatory gamma-band signatures. We found that interhemispheric functional connectivity was modulated in a predictable, phase-specific way: In-phase stimulation enhanced synchronization, anti-phase stimulation impaired functional coupling. Perceptual correlates of these connectivity changes were found in an ambiguous motion task, which strongly support the functional relevance of long-range neuronal coupling. Additionally, our results revealed a decrease in oscillatory alpha power in response to the entrainment of gamma band signatures. This finding provides causal evidence for the antagonistic role of alpha and gamma oscillations in the parieto-occipital cortex and confirms that the observed gamma band modulations were physiological in nature. Our results demonstrate that synchronized cortical network activity across several spatiotemporal scales is essential for conscious perception and cognition.
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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.
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.