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44 results for “motor timing”
Spontaneous motor tempo over the course of a week: The role of the time of the day, chronotype, and arousal
<p>The spontaneous motor tempo (SMT) or internal tempo describes the natural pace of predictive and emergent movements such as walking or hand clapping. One of the main research interests in the study of the spontaneous motor tempo relates to factors affecting its pace. Previous studies suggest an influence of the circadian rhythm (i.e., 24-h cycle of the biological clock), physiological arousal changes, and potentially also musical experience. This study aimed at investigating these effects in participants‘ everyday life by measuring their SMT four times a day over seven consecutive days, using an experience sampling method. The pace of the SMT was assessed with a finger-tapping paradigm in a selfdeveloped web application. Measured as the inter-tap interval, the overall mean SMT was 650 ms (SD = 253 ms). Using multi-level modelling (MLM), results show that the pace of the SMT sped up over the course of the day, and that this effect depended on the participants’ chronotype, since participants tending towards morning type were faster in the morning compared to participants tending towards evening type. During the day, the pace of the SMT of morning types stayed relatively constant, whereas it became faster for evening-type participants. Furthermore, higher arousal in participants led to a faster pace of the SMT. Musical sophistication did not influence the SMT. These results indicate that the circadian rhythm influences the internal tempo, since the pace of SMT is not only dependent on the time of the day, but also on the individual entrainment to the 24-h cycle (chronotype).</p>
Data set for "Relaxation time asymmetry in stator dynamics of the bacterial flagellar motor"
<p>Zipped file containing three python Dictionaries pertaining to the Science Advances publication "Relaxation time asymmetry in stator dynamics of the bacterial flagellar motor," authored by Ruben Perez-Carrasco, María-José Franco-Oñate, Jean-Charles Walter, Jérôme Dorignac, Fred Geniet, John Palmeri, Andrea Parmeggiani, Nils-Ole Walliser, and Ashley L Nord.</p>
Dataset for the Article entitled "Dissociable effects of practice variability on learning motor and timing skills"
<p>Dataset collected for studying the effect of the amount and the schedule of task variability on motor and timing learning.</p>
Figure 4. (a) Therapy player software screen, where a) is the stimuli time, b) is the total therapy time, c) is the file path, d) displays the numeric values of each sequence of the therapy, e) shows the current value, and f) shows the current lag angle for zenith and azimuth values; (b) USB mechanism for conversion, where a) USB-UART converter, and b) USB-Zigbee converter.-Design of a Novel Servo-motorized Laser Device for Visual Pathways Diseases Therapy
<p>Where tt time expended by the servomotors to point the laser to a given position and execute<br> a laser beam sequence; tspin is the time that a servomotor needs to spin one degree; ttol is a given the<br> tolerance time; θservo is the addition of degrees that both servos in a laser driver need to spin point<br> the laser in a given position; tstimuli is the time expended in execute a laser beam, between 250 and<br> 605 ms (Weiskrantz et al., 1991); T is the total time of all repetitions in a therapy, suggested<br> between 20 and 60 minutes and N is the number of repetitions in a therapy.</p>
BRAIN Journal-Motor Imagery signal Classification for BCI System Using Empirical Mode Décomposition and Bandpower Feature Extraction-Figure 2. Timing of one trial of the experiment with continuous feedback (Guger et al, 2001)
<p>At the beginning of each trial (t = 0 s), a fixation cross appeared on the black screen. After two seconds a warning stimulus was given in the form of a beep. From 3 to 4.25s, an arrow (cue stimulus), pointing to the left or right, was shown on the screen. The subject was instructed to imagine a left or right hand movement until the end of the trial, depending on the direction of the arrow. The EEG was sampled and classified on line throughout the session. Between 4.25 and 8s, the classification result was used to give a continuously updated feedback stimulus in the form of a horizontal bar that appeared in the center of the screen. The paradigm is illustrated in fig (2).</p>
Precise timing is ubiquitous, consistent and coordinated across a comprehensive, spike-resolved flight motor program
<p>Sequences of action potentials, or spikes, carry information in the number of spikes and their timing. Spike timing codes are critical in many sensory systems, but there is now growing evidence that millisecond-scale changes in timing also carry information in motor brain regions, descending decision-making circuits, and individual motor units. Across all the many signals that control a behavior how ubiquitous, consistent, and coordinated are spike timing codes? Assessing these open questions ideally involves recording across the whole motor program with spike-level resolution. To do this, we took advantage of the relatively few motor units controlling the wings of a hawk moth, <em>Manduca sexta</em>. We simultaneously recorded nearly every action potential from all major wing muscles and the resulting forces in tethered flight. We found that timing encodes more information about turning behavior than spike count in every motor unit, even though there is sufficient variation in count alone. Flight muscles vary broadly in function as well as in the number and timing of spikes. Nonetheless, each muscle with multiple spikes consistently blends spike timing and count information in a 3:1 ratio. Coding strategies are consistent. Finally, we assess the coordination of muscles using pairwise redundancy measured through interaction information. Surprisingly, not only are all muscle pairs coordinated, but all coordination is accomplished almost exclusively through spike timing, not spike count. Spike timing codes are ubiquitous, consistent, and essential for coordination. </p>
Influence of motor and cognitive tasks on time estimation
<p>The folder<strong> "DataTapisTime" </strong>contains <strong>thirty-two .MAT files.</strong> The .mat files’ name includes the number of subject (“SXX”, from S01 to S16) and the condition (Sitting or Walking). Each matrix contains 7 columns:</p> <ul> <li><strong>Column 1:</strong> Trial number</li> <li><strong>Column 2:</strong> Cognitive task code – 1) Look; 2) Read; 3) Solve Simple; 4) Solve Hard</li> <li><strong>Column 3:</strong> Time interval code – 1) 15 sec; 2) 30 sec; 3) 60 sec; 4) 90 sec; 5) 120 sec</li> <li><strong>Column 4:</strong> Tested duration (in seconds)</li> <li><strong>Column 5:</strong> Exact duration measured online (as a control)</li> <li><strong>Column 6:</strong> If the trial was “look” or “read” task the structure is composed only by “NaN”. In the two solve tasks the structure contains information about the operations to be solved. It contains 6 columns: 1) number1; 2) number2; 3) Participant solution; 4) Reaction time; 5) Correct solution; 6) Response correction (0: Wrong; 1: correct: NaN=not given).</li> <li><strong>Column 7:</strong> Temporal estimation (in seconds)</li> </ul>
Real-Time Motor Unit Tracking from sEMG Signals with Adaptive ICA on a Parallel Ultra-Low Power Processor
<p>Dataset and code to replicate the paper:</p> <p>Orlandi et al., "Real-Time Motor Unit Tracking from sEMG Signals with Adaptive ICA on a Parallel Ultra-Low Power Processor"</p>
Optimization of Time Parameters of Priming iTBS for Poststroke Motor Rehabilitation
ClinicalTrials.gov study NCT06612437. IPD Sharing: NO. Countries: 1. Publications: 1.
Influence of Timing on Motor Learning
ClinicalTrials.gov study NCT01769326. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Data from: Neural dynamics of predictive timing and motor engagement in music listening
Open the record for dataset details and reuse information.
Sensory-motor tuning allows generic features of conspecific acoustic scenes to guide rapid, adaptive, call-timing responses in Túngara frogs
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Precise timing is ubiquitous, consistent and coordinated across a comprehensive, spike-resolved flight motor program
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Distortions of Visual Time Induced by Motor Adaptation
<p>For details please read the file readme.txt.</p> <p>For more details contact the authors.</p>
THE INFLUENCE OF PITCH FEEDBACK ON LEARNING OF MOTOR-TIMING AND SEQUENCING: A PIANO STUDY WITH NOVICES
<p>These files contain values and conditions for each subject in csv format.</p>
Dataset and code accompanying publication: "High gamma coherence between task-responsive sensory-motor cortical regions in a motor reaction-time task"
<p>For questions, contact Peter Brunner, PhD (pbrunner@wustl.edu)</p> <p>Code written by Shashank Anand (sanand24@wustl.edu) and Hohyun Cho (hohyun@wustl.edu)</p> <p>This repository contains the processed data and MATLAB scripts (*.m) used to create the figures of this publication. </p> <p>Custom dependences are included. EEGLAB and VERA must be downloaded separately. </p> <p>Figure 4 is generated using the same code as Figure 3 (fig3.m), but by changing the frequency of the coherence analysis. </p>
Priming Through Timing. Using Opposing Strategies to Enhance Motor Learning for Individuals With Parkinson's Disease
ClinicalTrials.gov study NCT03660605. IPD Sharing: NO. Countries: 1. Publications: 1.
Feasibility of a Physiotherapy Programme, with Integrated TelerehabIlitation to Increase Rehabilitation Time and Improve Motor Function
ClinicalTrials.gov study NCT06871878. IPD Sharing: YES. Countries: 0. Publications: 19.
Data from: Relationship between the sequencing and timing of vocal motor elements in birdsong
Accurate coordination of the sequencing and timing of motor gestures is important for the performance of complex and evolutionarily relevant behaviors. However, the degree to which motor sequencing and timing are related remains largely unknown. Birdsong is a communicative behavior that consists of discrete vocal motor elements ('syllables') that are sequenced and timed in a precise manner. To reveal the relationship between syllable sequencing and timing, we analyzed how variation in the probability of syllable transitions at branch points, nodes in song with variable sequencing across renditions, correlated with variation in the duration of silent gaps between syllable transitions ('gap durations') for adult Bengalese finch song. We observed a significant negative relationship between transition probability and gap duration: more prevalent transitions were produced with shorter gap durations. We then assessed the degree to which long-term age-dependent changes and acute context-dependent changes to syllable sequencing and timing followed this inverse relationship. Age- but not context-dependent changes to syllable sequencing and timing were inversely related. On average, gap durations at branch points decreased with age, and the magnitude of this decrease was greater for transitions that increased in prevalence than for transitions that decreased in prevalence. In contrast, there was no systematic relationship between acute context-dependent changes to syllable sequencing and timing. Gap durations at branch points decreased when birds produced female-directed courtship song compared to when they produced undirected song, and the magnitude of this decrease was not related to the direction and magnitude of changes to transition probabilities. These analyses suggest that neural mechanisms that regulate syllable sequencing could similarly control syllable timing but also highlight mechanisms that can independently regulate syllable sequencing and timing.
Data from: Rhythmic motor behavior influences perception of visual time
Temporal processing is fundamental for an accurate synchronization between motor behavior and sensory processing. Here we investigate how motor timing during rhythmic tapping influences perception of visual time. Participants listen to a sequence of four auditory tones played at 1 Hz and continue the sequence (without auditory stimulation) by tapping four times with their finger. During finger tapping, they are presented with an empty visual interval and are asked to judge its length compared to a previously internalized interval of 150 ms. The visual temporal estimates show non-monotonic changes locked to the finger tapping: perceived time is maximally expanded at half time between the two consecutive finger taps, and maximally compressed near tap onsets. Importantly, the temporal dynamics of the perceptual time distortion scales linearly with the timing of the motor tapping, with maximal expansion being always anchored to the center of the inter-tap interval. These results reveal an intrinsic coupling between distortion of perceptual time and production of self-timed motor rhythms, suggesting the existence of a timing mechanism that keeps perception and action accurately synchronized.
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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.