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64 results for “Learning Modules”
Learned value modulates the access to visual awareness during continuous flash suppression
<p>Data from Experiment 1 and Experiment 2 are reported in separate files. </p> <p>Each line contains the mean suppression time of a target grating under continuous flash suppression expressed in seconds for one participant. </p> <p>Each column refers to a different condition:<br> HREV = visual stimuli associated with high monetary reward<br> LREV = visual stimuli associated with low monetary reward<br> base = baseline measurements before associative learning<br> P1 = first measurement after associative learning<br> P2 = second measurement after associative learning<br> P3 = third measurement after associative learning</p> <p>For experiment 1, a short (20 trials) associative learning recall session was performed between P1 and P2 and between P2 and P3.</p> <p> </p> <p> </p> <p> </p>
Context modulation of learned attention deployment.
<p>Eye tracking data and statistical analysis of:</p> <p>Uengoer, M., Pearce, J. M., Lachnit, H., & Koenig, S. (2017). Context modulation of learned attention deploymentReward draws the eye, uncertainty holds the eye: Associative learning modulates distractor interference in visual search. Learning & Behavior. doi:10.3758/s13420-017-0277-y</p> <p>Abstract: In three experiments, we investigated the contextual control of attention in human discrimination learning. In each experiment, participants initially received discrimination training in which the cues from Dimension Awere relevant in Context 1 but irrelevant in Context 2, whereas the cues from Dimension B were irrelevant in Context 1 but relevant in Context 2. In Experiment 1, the same cues from each dimension were used in Contexts 1 and 2, whereas in Experiments 2 and 3, the cues from each dimension were changed across contexts. In each experiment, participants were subsequently shifted to a transfer discrimination involving novel cues from either dimension, to assess the contextual control of attention. In Experiment 1, measures of eye gaze during the transfer discrimination revealed that Dimension A received more attention than Dimension B in Context 1, whereas the reverse occurred in Context 2. Corresponding results indicating the contextual control of attention were found in Experiments 2 and 3, in which we used the speed of learning (associability) as an indirect marker of learned attentional changes. Implications of our results for current theories of learning and attention are discussed.</p> <p><br> Please see related identifier 10.5281/zenodo.583223 for analysis of:<br> Koenig, S., Uengoer, M., & Lachnit, H. (2017). Attentional bias for uncertain cues of shock in human fear conditioning: Evidence for attentional learning theory. Frontiers in Human Neuroscience. doi: 10.3389/fnhum.2017.00266.</p> <p>Please see related identifier 10.5281/zenodo.583233 for analysis of:<br> Koenig, S., Kadel, H., Uengoer, M., Schubö, A., & Lachnit, H. (2017). Reward Draws the Eye, Uncertainty Holds the Eye: Associative Learning Modulates Distractor Interference in Visual Search. Frontiers in Behavioral Neuroscience,11, 128. doi: 10.3389/fnbeh.2017.00128.</p> <p> </p> <p> </p>
Reward draws the eye, uncertainty holds the eye: Associative learning modulates distracter interference in visual search.
<p>Eye tracking data and statistical analysis of:</p> <p>Koenig, S., Kadel, H., Uengoer, M., Schubö, A., & Lachnit, H. (2017). Reward draws the eye, uncertainty holds the eye: Associative learning modulates distracter interference in visual search. <em>Frontiers in Behavioral Neuroscience</em>. doi: 10.3389/fnbeh.2017.00128.</p> <p> Abstract: Stimuli in our sensory environment differ with respect to their physical salience, but moreover may acquire motivational salience by association with reward. If we repeatedly observed that reward is available in the context of a particular cue, but absent in the context of another cue, the former typically attracts more attention than the latter. However, we also may encounter cues uncorrelated with reward. A cue with 50% reward contingency may induce an average reward expectancy, but at the same time induces high reward uncertainty. In the current experiment we examined how both values, reward expectancy and uncertainty, affected overt attention. Two different colors were established as predictive cues for low reward and high reward respectively. A third color was followed by high reward on 50% of the trials and thus induced uncertainty. Colors then were introduced as distractors during search for a shape target and we examined the relative potential of the color distractors to capture and hold the first fixation. We observed that capture frequency corresponded to reward expectancy while capture duration corresponded to uncertainty. The results may suggest that within trial, reward expectancy is represented at an earlier time window than uncertainty.</p>
Manipuri Learning Module: Audio of Binodini's Asangba Nongjabi (Part B)
<p>ASANGBA NONGJABI</p> <p>Audio Recording, Part B (30 min)</p> <p>Mellei Leisna Production, c. 1994</p> <p>Featuring:</p> <p>Kangabam Tomba as Gautam</p> <p>Yengkhom Roma as Indu</p> <p>Keisam Rani as Keinatombi</p> <p>Thokchom Manao as Middle-Aged Man</p> <p>Laimayum Dhanachandra as Hotel Manager</p> <p>Wangkhem Lalit Kumar as Uncle</p> <p> </p> <p>NOTE:</p> <p>- Part B starts in Act 4 on the top of Page 30 of Asangba Nongjabi in Roman (https://zenodo.org/record/839521) from the dialog line:</p> <p><em>MAMO. Takho – nanggi nama eigi ichaldo eigi yumsida sikhibani.</em></p> <p>- Some dialogue by Gautam is repeated at the play's ending. This was intended for dramatic effect by MK Binodini in consultation with Kangabam Tomba, the unaccredited director of this performance with Yengkhom Roma.</p> <p> </p>
Manipuri Learning Module: Audio of Binodini's Asangba Nongjabi (Part A)
<p>ASANGBA NONGJABI</p> <p>Audio Recording, Part A (30 min)</p> <p>Mellei Leisna Productions, c. 1994</p> <p>Featuring:</p> <p>Kangabam Tomba as Gautam</p> <p>Yengkhom Roma as Indu</p> <p>Keisam Rani as Keinatombi</p> <p>Wangkhem Lalit Kumar as Uncle</p> <p>Thokchom Manao as Middle-Aged Man</p> <p>Laimayum Dhanachandra as Hotel Manager</p> <p> </p> <p>NOTE:</p> <p>- In making a one-hour recording, Act 3 of the original play was omitted. </p> <p>- Some dialogue was added by MK Binodini in consultation with Kangabam Tomba, the unaccredited director of this performance with Yengkhom Roma, the end of Side A. It was to make for a smoother changeover to side B of the audio cassette. This addition comes at the bottom of Page 29 of the Roman transliteration, in Act 4.</p> <p>- Part B starts on the top of Page 30 of Asangba Nongjabi in Roman (https://zenodo.org/record/839521) from the dialog line:</p> <p><em>MAMO. Takho – nanggi nama eigi ichaldo eigi yumsida sikhibani.</em></p> <p> </p> <p> </p>
PENGEMBANGAN E-MODUL PADA MATERI SUHU DAN KALOR BERBASIS BRAIN-BASED LEARNING
<p>Penelitian ini bertujuan untuk mengembangkan <i>E-modul</i> berbasis <i>Brain Based Learning</i> untuk siswa kelas XI. Pembelajaran dengan <i>E-modul</i> membantu siswa untuk dapat belajar mandiri serta membantu memahami materi dengan baik. Penelitian ini menggunakan metode Research & Development (R&D) dengan model pengembangan 4D (Define, Design, Development, Disseminate). Kelayakan <i>E-modul </i>berbasis <i>brain based learning</i> materi suhu dan kalor diuji oleh 3 validator yang terdiri dari 3 rekan sejawat. Berdasarkan data hasil validasi oleh validator terhadap <i>E-modul </i>berbasis diperoleh keseluruhan rata-rata skor 3,6 dengan kategori sangat valid. Oleh karena itu, media pembelajaran <i>E-modul </i>berbasis <i>brain based learning</i> yang dikembangkan telah memenuhi kriteria valid sehingga layak digunakan dalam proses pembelajaran.</p>
Cholecystokinin facilitates motor skill learning by modulating neuroplasticity in the motor cortex
<p>Cholecystokinin (CCK) is an essential modulator for neuroplasticity in sensory and emotional domains. Here, we investigated the role of CCK in motor learning using a single pellet reaching task in mice. Mice with a knockout of <em>cck</em> gene (CCK<sup>-/-</sup>) or blockade of CCK-B receptor (CCKBR) showed defective motor learning ability; the success rate of retrieving reward remained at the baseline level compared to the wildtype mice with significantly increased success rate. We observed no long-term potentiation (LTP) upon high-frequency stimulation (HFS) in the motor cortex of CCK<sup>-/-</sup> mice, indicating a possible association between motor learning deficiency and neuronal plasticity in the motor cortex. In vivo calcium imaging demonstrated that the deficiency of CCK signalling disrupted the refinement of population neuronal activity in the motor cortex during motor skill training. Anatomical tracing revealed direct projections from CCK-expressing neurons in the rhinal cortex to the motor cortex. Inactivating the CCK neurons in the rhinal cortex using chemogenetic methods significantly suppressed motor learning, and intraperitoneal application of CCK4, a tetrapeptide CCK agonist, rescued the motor learning deficits of CCK<sup>-/-</sup> mice. In summary, our results suggest that CCK, which could be provided from the rhinal cortex, enables neuroplasticity in the motor cortex leading to motor skill learning.</p>
A new modulator of cultural transmission: congruence between learning and onward transmission contexts
<p>This study investigated the effects of congruence between two contexts -the one in which we learn variants and the one in which we later transmit them- on cultural transmission. We hypothesized that when we are placed in a particular context, we will be more likely to produce (and therefore transmit) variants that we learned in that same context. In particular, we tested the effect of a social contextual aspect: the relationship between model and learner. Participants learned two variant methods to solve a puzzle, one from an “expert” (in an expert-to-novice context) and one from a “peer” (in a peer-to-peer context). They were then asked to transmit one variant onward, either to a “novice” (in a new expert-to-novice context) or to another “peer” (in a new peer-to-peer context). We measured whose variant they transmitted onward.</p>
FunShield4Med e-learning module on Computational Toxicology
<p>This is a two-module presentation about the use of computational methods in toxicology providing the audience with an introduction of molecular modelling techniques applied to toxicology assessment (first module, theoretical part). Taking advantage of selected case studies targeting ochratoxin A, interested persons are learning how in silico methods can be broadly applied to investigate the toxicodynamics and toxicokinetic of mycotoxins (second module, e-learning part), supporting the early stage of risk assessment (i.e. the hazard identification and characterization). The two modules are explaining in depth and step-by-step the procedure used and the underpinning rationale and base of knowledge to make anyone virtually able to reproduce such kind of analysis.</p>
Expert consensus on core topics of sustainable development online learning module for family physicians: A Delphi study
<p><strong>Objectives</strong></p> <p>Medical institutions must provide learning experiences that enhance the knowledge and perspectives of Sustainable Development (SD) to prepare trainees of family medicine to become competent global citizens. The aim of this study was to develop an SD online learning module for trainees of family medicine.</p> <p><strong>Design</strong></p> <p>This mixed-methods study was conducted from January 2020 to May 2021, beginning with a literature review concerning Sustainable Development Goals (SDG) and Education for Sustainable Development (ESD) in medicine. In-depth interviews were held to assess the relevant needs of family medic<span>ine</span> training, followed by a two-round Delphi survey with experienced educators (n = 21) in family medicine to refine and achieve consensus on the appropriate SDG topics for family physicians.</p> <p><strong>Setting</strong></p> <p>All residency training programmes in Thailand.</p> <p><strong>Participants</strong></p> <p>Members of the Residency Training Committee, Royal College of Family Physicians of Thailand.</p> <p><strong>Results</strong></p> <p>The literature review and in-depth interviews identified 12 topics of SD that were required for family physicians. The first round of the Delphi survey was concluded by identifying 7 core topics with additional suggestions. In the second round, a consensus was obtained among the experienced educators regarding 7 core topics: 1) A definition of SD, 2) Principles of SD, 3) SDG, 4) A new concept of SD, 5) SD in the context of Thailand, 6) SD and principles of family medicine and 7) SD and family practice. These core topics were grouped within three main objectives and three sub-modules.</p> <p><strong>Conclusions</strong></p> <p>An online <span>learning module of SD for family physicians was developed using a modified Delphi method. This included three sub-modules: 1) Concept and principles of SD, 2) SDG and 3) SD and its integration with family practice. This online learning module will provide additional resources for trainees of family medicine and Thai family physicians to expand their knowledge and perspectives of sustainable development.</span></p>
Modulating Interaction of Motor Learning Networks in Rehabilitation of Stroke
ClinicalTrials.gov study NCT03086551. IPD Sharing: NO. Countries: 1. Publications: 3.
Cholecystokinin facilitates motor skill learning by modulating neuroplasticity in the motor cortex
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Data from: Group recognition in a subsocial extreme omnivore is based on fecal odor preference that is modulated by coprophagy, diet, and learning
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Expert consensus on core topics of sustainable development online learning module for family physicians: A Delphi study
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Analysis of Questions in Vocabulary Instruction in Grade 2 Mother Tongue, Filipino, and English Self-Learning Modules
<p>This is a master's thesis that analyzed the questions on vocabulary instruction in Grade 2 Mother Tongue, Filipino, and English self-learning modules. </p>
iLook Out for Child Abuse: An Innovative Learning Module for Childcare Providers
ClinicalTrials.gov study NCT03185728. IPD Sharing: NO. Countries: 1. Publications: 1.
Evaluation of a Perceptual Learning Module on Spinal Ultrasound Among Residents.
ClinicalTrials.gov study NCT06533488. IPD Sharing: UNDECIDED. Countries: 1. Publications: 9.
Modulation of Visual-Spatial Learning in Healthy Older Adults by tDCS
ClinicalTrials.gov study NCT02110056. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Online Learning Module to Advance Research Related to People With Disabilities
ClinicalTrials.gov study NCT07220837. IPD Sharing: YES. Countries: 1. Publications: 11.
Web-based Learning Module on Optical Diagnosis of Early Colorectal Cancer
ClinicalTrials.gov study NCT05663788. IPD Sharing: NO. Countries: 4. Publications: 4.
ScienceDex guides
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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.