keyword
MENU ▼
Read by QxMD icon Read
search

Retrieval-based learning

keyword
https://www.readbyqxmd.com/read/28747686/memory-and-perception-based-facial-image-reconstruction
#1
Chi-Hsun Chang, Dan Nemrodov, Andy C H Lee, Adrian Nestor
Visual memory for faces has been extensively researched, especially regarding the main factors that influence face memorability. However, what we remember exactly about a face, namely, the pictorial content of visual memory, remains largely unclear. The current work aims to elucidate this issue by reconstructing face images from both perceptual and memory-based behavioural data. Specifically, our work builds upon and further validates the hypothesis that visual memory and perception share a common representational basis underlying facial identity recognition...
July 26, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28743727/basolateral-amygdala-to-orbitofrontal-cortex-projections-enable-cue-triggered-reward-expectations
#2
Nina T Lichtenberg, Zachary T Pennington, Sandra M Holley, Venuz Y Greenfield, Carlos Cepeda, Michael S Levine, Kate M Wassum
To make an appropriate decision one must anticipate potential future rewarding events, even when they are not readily observable. These expectations are generated by using observable information (e.g., stimuli or available actions) to retrieve often quite detailed memories of available rewards. The basolateral amygdala (BLA) and orbitofrontal cortex (OFC) are two reciprocally-connected key nodes in the circuitry supporting such outcome-guided behaviors. But there is much unknown about the contribution of this circuit to decision making, and almost nothing known about the whether any contribution is via direct, monosynaptic projections, or the direction of information transfer...
July 25, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28733209/intervention-strength-does-not-differentially-affect-memory-reconsolidation-of-strong-memories
#3
Kevin van Schie, Suzanne C van Veen, Yanniek R Hendriks, Marcel A van den Hout, Iris M Engelhard
Recently, it has become clear that retrieval (i.e., reactivation) of consolidated memories may return these memories into a labile state before they are restored into long-term memory ('reconsolidation'). Using behavioral manipulations, reactivated memories can be disrupted via the mechanism of novel learning. In the present study, we investigated whether changing a strong memory during reconsolidation depends on the strength of novel learning. To test this, participants (N = 144) in six groups acquired a relatively strong memory on Day 1 by viewing and recalling a series of pictures three times...
July 18, 2017: Neurobiology of Learning and Memory
https://www.readbyqxmd.com/read/28728922/existing-reporting-guidelines-for-clinical-trials-are-not-completely-relevant-for-implantable-medical-devices-a-systematic-review
#4
REVIEW
Anne-France Motte, Stéphanie Diallo, Hélène van den Brink, Constance Châteauvieux, Carole Serrano, Carole Naud, Julie Steelandt, Jean-Marc Alsac, Pierre Aubry, Florence Cour, Olivier Pellerin, Judith Pineau, Patrice Prognon, Isabelle Borget, Brigitte Bonan, Nicolas Martelli
OBJECTIVE: The aim of this study was to determine relevant items for reporting clinical trials on implantable medical devices and to identify reporting guidelines which include these items. STUDY DESIGN AND SETTING: A panel of experts identified the most relevant items for evaluating implantable medical devices from an initial list based on reference papers. We then conducted a systematic review of articles indexed in MEDLINE. We retrieved reporting guidelines from the EQUATOR network's library for health research reporting...
July 17, 2017: Journal of Clinical Epidemiology
https://www.readbyqxmd.com/read/28715325/inference-based-similarity-search-in-randomized-montgomery-domains-for-privacy-preserving-biometric-identification
#5
Yi Wang, Jianwu Wan, Jun Guo, Yiu-Ming Cheung, Pong C Yuen
Similarity search is essential to many important applications and often involves searching at scale on high-dimensional data based on their similarity to a query. In biometric applications, recent vulnerability studies have shown that adversarial machine learning can compromise biometric recognition systems by exploiting the biometric similarity information. Existing methods for biometric privacy protection are in general based on pairwise matching of secured biometric templates and have inherent limitations in search efficiency and scalability...
July 14, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28711415/the-experience-of-facilitators-and-participants-of-long-term-condition-self-management-group-programmes-a-qualitative-synthesis
#6
REVIEW
Stephen Hughes, Sophie Lewis, Karen Willis, Anne Rogers, Sally Wyke, Lorraine Smith
OBJECTIVE: Our aim was to systematically review the qualitative literature about the experiences of both facilitators and participants in a range of group-based programmes to support the self-management of long-term conditions. METHODS: We searched 7 databases using the terms 'self-management', 'group' and 'qualitative'. Full text articles meeting the inclusion criteria were retrieved for review. A thematic synthesis approach was used to analyse the studies. RESULTS: 2126 articles were identified and 24 were included for review...
July 1, 2017: Patient Education and Counseling
https://www.readbyqxmd.com/read/28708546/sononet-real-time-detection-and-localisation-of-fetal-standard-scan-planes-in-freehand-ultrasound
#7
Christian F Baumgartner, Konstantinos Kamnitsas, Jacqueline Matthew, Tara P Fletcher, Sandra Smith, Lisa M Koch, Bernhard Kainz, Daniel Rueckert
Identifying and interpreting fetal standard scan planes during 2D ultrasound mid-pregnancy examinations are highly complex tasks which require years of training. Apart from guiding the probe to the correct location, it can be equally difficult for a non-expert to identify relevant structures within the image. Automatic image processing can provide tools to help experienced as well as inexperienced operators with these tasks. In this paper, we propose a novel method based on convolutional neural networks which can automatically detect 13 fetal standard views in freehand 2D ultrasound data as well as provide a localisation of the fetal structures via a bounding box...
July 11, 2017: IEEE Transactions on Medical Imaging
https://www.readbyqxmd.com/read/28707570/using-event-related-potentials-to-inform-the-neurocognitive-processes-underlying-knowledge-extension-through-memory-integration
#8
Nicole L Varga, Patricia J Bauer
To build a general knowledge base, it is imperative that individuals acquire, integrate, and further extend knowledge across experiences. For instance, in one episode an individual may learn that George Washington was the first president. In a separate episode he or she may then learn that Washington was the commander of the Continental Army. Integration of the information in memory may then support self-derivation of the new knowledge that the leader of the Continental Army was also the first president. Despite a considerable amount of fMRI research aimed at further elucidating the neuroanatomical regions supporting this ability, a consensus has yet to be reached with regards to the precise neurocognitive processes involved...
July 14, 2017: Journal of Cognitive Neuroscience
https://www.readbyqxmd.com/read/28705788/how-do-clinicians-learn-about-knowledge-translation-an-investigation-of-current-web-based-learning-opportunities
#9
Raechel A Damarell, Jennifer J Tieman
BACKGROUND: Clinicians are important stakeholders in the translation of well-designed research evidence into clinical practice for optimal patient care. However, the application of knowledge translation (KT) theories and processes may present conceptual and practical challenges for clinicians. Online learning platforms are an effective means of delivering KT education, providing an interactive, time-efficient, and affordable alternative to face-to-face education programs. OBJECTIVE: This study investigates the availability and accessibility of online KT learning opportunities for health professionals...
July 13, 2017: JMIR Medical Education
https://www.readbyqxmd.com/read/28698965/what-impact-do-students-have-on-clinical-educators-and-the-way-they-practise
#10
REVIEW
Lisa Waters, Kristin Lo, Stephen Maloney
The clinical education setting plays an important part in teaching students about the real world of clinical practice. Traditionally the educational relationship between student and clinical educator has been considered one-way, with students being the ones that benefit. This review focuses on the areas of clinician practice and behaviour that students are reported to influence through clinical placements and as such, determine the overall impact students can have on supervising clinicians. Electronic searches were conducted across MEDLINE, EMBASE, PsychINFO and CINAHL in July 2016...
July 11, 2017: Advances in Health Sciences Education: Theory and Practice
https://www.readbyqxmd.com/read/28698606/reading-induced-shifts-of-perceptual-speech-representations-in-auditory-cortex
#11
Milene Bonte, Joao M Correia, Mirjam Keetels, Jean Vroomen, Elia Formisano
Learning to read requires the formation of efficient neural associations between written and spoken language. Whether these associations influence the auditory cortical representation of speech remains unknown. Here we address this question by combining multivariate functional MRI analysis and a newly-developed 'text-based recalibration' paradigm. In this paradigm, the pairing of visual text and ambiguous speech sounds shifts (i.e. recalibrates) the perceptual interpretation of the ambiguous sounds in subsequent auditory-only trials...
July 11, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28692966/learning-semantic-part-based-models-from-google-images
#12
Davide Modolo, Vittorio Ferrari
We propose a technique to train semantic part-based models of object classes from Google Images. Our models encompass the appearance of parts and their spatial arrangement on the object, specific to each viewpoint. We learn these rich models by collecting training instances for both parts and objects, and automatically connecting the two levels. Our framework works incrementally, by learning from easy examples first, and then gradually adapting to harder ones. A key benefit of this approach is that it requires no manual part location annotations...
July 7, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28686584/assessing-recent-and-remote-associative-olfactory-memory-in-rats-using-the-social-transmission-of-food-preference-paradigm
#13
Benjamin Bessières, Olivier Nicole, Bruno Bontempi
Rats have the ability to learn about potential food sources by sampling their odors on the breath of conspecifics. Although this ethologically based social behavior has been transposed to the laboratory to probe nonspatial associative olfactory memory, only a few studies have taken full advantage of its unique features to examine the organization of recently and remotely acquired information. We provide a set of standardized procedures and technical refinements that are particularly useful in achieving this goal while minimizing confounding factors...
July 2017: Nature Protocols
https://www.readbyqxmd.com/read/28682253/bilinear-optimized-product-quantization-for-scalable-visual-content-analysis
#14
Litao Yu, Zi Huang, Fumin Shen, Jingkuan Song, Heng Tao Shen, Xiaofang Zhou
Product quantization (PQ) has been recognized as a useful technique to encode visual feature vectors into compact codes to reduce both the storage and computation cost. Recent advances in retrieval and vision tasks indicate that high-dimensional descriptors are critical to ensuring high accuracy on large-scale datasets. However, optimizing PQ codes with high-dimensional data is extremely time and memory consuming. To solve this problem, in this paper, we present a novel PQ method based on bilinear projection, which can well exploit the natural data structure and reduce the computational complexity...
June 30, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
https://www.readbyqxmd.com/read/28682246/breakingnews-article-annotation-by-image-and-text-processing
#15
Arnau Ramisa, Fei Yan, Francesc Moreno-Noguer, Krystian Mikolajczyk
Current approaches lying in the intersection of computer vision and NLP have achieved unprecedented breakthroughs in tasks like automatic captioning or image retrieval. Most of these methods, though, rely on training sets of images associated with annotations that specifically describe the visual content. This paper proposes going a step further and explores more complex cases where textual descriptions are loosely related to images. We focus on the particular domain of News. We introduce new deep learning methods that address source and popularity prediction, article illustration, and article geolocation...
June 30, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
https://www.readbyqxmd.com/read/28679575/cognitive-flexibility-and-undergraduate-physiology-students-increasing-advanced-knowledge-acquisition-within-an-ill-structured-domain
#16
Ashley E Rhodes, Timothy G Rozell
Cognitive flexibility is defined as the ability to assimilate previously learned information and concepts to generate novel solutions to new problems. This skill is crucial for success within ill-structured domains such as biology, physiology, and medicine, where many concepts are simultaneously required for understanding a complex problem, yet the problem consists of patterns or combinations of concepts that are not consistently used or needed across all examples. To succeed within ill-structured domains, a student must possess a certain level of cognitive flexibility: rigid thought processes and prepackaged informational retrieval schemes relying on rote memorization will not suffice...
September 1, 2017: Advances in Physiology Education
https://www.readbyqxmd.com/read/28678787/classification-and-analysis-of-a-large-collection-of-in-vivo-bioassay-descriptions
#17
Magdalena Zwierzyna, John P Overington
Testing potential drug treatments in animal disease models is a decisive step of all preclinical drug discovery programs. Yet, despite the importance of such experiments for translational medicine, there have been relatively few efforts to comprehensively and consistently analyze the data produced by in vivo bioassays. This is partly due to their complexity and lack of accepted reporting standards-publicly available animal screening data are only accessible in unstructured free-text format, which hinders computational analysis...
July 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/28661178/retrieval-practice-makes-procedure-from-remembering-an-automatization-account-of-the-testing-effect
#18
Mihály Racsmány, Ágnes Szőllősi, Dorottya Bencze
The "testing effect" refers to the striking phenomenon that repeated retrieval practice is one of the most effective learning strategies, and certainly more advantageous for long-term learning, than additional restudying of the same information. How retrieval can boost the retention of memories is still without unanimous explanation. In 3 experiments, focusing on the reaction time (RT) of retrieval, we showed that RT of retrieval during retrieval practice followed a power function speed up that typically characterizes automaticity and skill learning...
June 29, 2017: Journal of Experimental Psychology. Learning, Memory, and Cognition
https://www.readbyqxmd.com/read/28660391/retention-of-ethnic-participants-in-longitudinal-studies
#19
REVIEW
Pavneet Singh, Twyla Ens, K Alix Hayden, Shane Sinclair, Pam LeBlanc, Moaz Chohan, Kathryn M King-Shier
We aimed to identify effective participant retention strategies utilized in longitudinal studies of ethnic groups, specifically those from South Asian and Chinese communities. We conducted a systematic review of the literature focusing on the retention of ethnic minorities in longitudinal studies, up until April 2017. Only peer-reviewed research was included. 11,316 citations were retrieved, of which 4808 were duplicates and 51 met the inclusion criteria. Financial incentives, involving key community members, flexible scheduling, developing trust and personal connections with participants, and having extensive participant contact information are key facilitators...
June 28, 2017: Journal of Immigrant and Minority Health
https://www.readbyqxmd.com/read/28659851/bilateral-alternating-auditory-stimulations-facilitate-fear-extinction-and-retrieval
#20
Sarah Boukezzi, Catarina Silva, Bruno Nazarian, Pierre-François Rousseau, Eric Guedj, Camila Valenzuela-Moguillansky, Stéphanie Khalfa
Disruption of fear conditioning, its extinction and its retrieval are at the core of posttraumatic stress disorder (PTSD). Such deficits, especially fear extinction delay, disappear after alternating bilateral stimulations (BLS) during eye movement desensitization and reprocessing (EMDR) therapy. An animal model of fear recovery, based on auditory cued fear conditioning and extinction learning, recently showed that BLS facilitate fear extinction and fear extinction retrieval. Our goal was to determine if these previous results found in animals can be reproduced in humans...
2017: Frontiers in Psychology
keyword
keyword
57206
1
2
Fetch more papers »
Fetching more papers... Fetching...
Read by QxMD. Sign in or create an account to discover new knowledge that matter to you.
Remove bar
Read by QxMD icon Read
×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"