“Cortical morphology is known to differ with age, as measured by cortical thickness, fractal dimensionality, and gyrification. However, head motion during MRI scanning has been shown to influence estimates of cortical thickness as well as increase with age. Studies have also found task-related differences in head motion and relationships between body–mass index (BMI) and head motion.”
Come to the APA convention in August! Dr. Madan organized a symposium on ‘Motivated Memory and Event Cognition’ (as part of Division 3’s program).
New paper with Penny Pexman and colleagues at the University of Calgary.
“In the present study, we collected ratings for 621 words on seven semantic dimensions (graspability, ease of pantomime, number of actions, animacy, size, danger, and usefulness), in order to investigate which attributes are most strongly related to BOI ratings and to lexical–semantic processing.”
Invited talk and workshop on computational neuroanatomy at Aalto University (Finland)
“Novel methods are needed to further our understanding of human brain structure. However, along with the development of methods come additional considerations to interpret these findings and avoid potential confounds. In this workshop I will provide an overview of the mathematical principles behind novel approaches to computational neuroanatomy, with an emphasis on fractal dimensionality and spherical harmonics.”
New paper with Elizabeth Kensinger (Boston College).
“The influence of emotion on association-memory is often attributed to arousal, but negative stimuli are typically used to test for these effects. While prior studies of negative emotion on association-memory have found impairments, theories suggest that positive emotion may have a distinct effect on memory, and may lead to enhanced association-memory.”
Dr. Madan’s former PhD supervisor and on-going collaborator, is being honored with the Comparative Cognition Society Research Award.
“Extreme stimuli are often more salient in perception and memory than moderate stimuli. In risky choice, when people learn the odds and outcomes from experience, the extreme outcomes (best and worst) also stand out. Here we assess whether extreme outcomes stand out because they fall at the edges of the experienced outcome distributions or because they are distinct from other outcomes.”
“It’s a big decision isn’t it? In this podcast we hope our panel can help you decide. Podcast organised by the Dementia Researcher network.
In this weeks podcast our panel is chaired by Dr Charlotte Stoner, Research Associate from University College London. On the panel we have Christopher Madan an Assistant Professor from University of Nottingham, Angelique Mavrodaris a Clinical Research Fellow and Consultant in Public Health Medicine in Cambridge, and Suzanne Hill a PhD student at University of Bradford.”
“In this article, we describe the science behind four evidence-based teaching strategies: (1) providing visual examples, (2) teaching students to explain and to do, (3) spaced practice, and (4) frequent quizzing. Below, we provide concise overview of these strategies and examples of how they can be implemented in the classroom before describing the science behind each strategy.”
Dr. Madan’s 2014 book, An Introduction to MATLAB for Behavioral Researchers, has now been translated into Chinese!
“The science of learning has made a considerable contribution to our understanding of effective teaching and learning strategies. However, few instructors outside of the field are privy to this research. In this tutorial review, we focus on six specific cognitive strategies that have received robust support from decades of research: spaced practice, interleaving, retrieval practice, elaboration, concrete examples, and dual coding. We describe the basic research behind each strategy and relevant applied research, present examples of existing and suggested implementation, and make recommendations for further research that would broaden the reach of these strategies.”
New paper in PeerJ CS, providing an overview of the first year at JOSS!
“This article describes the motivation, design, and progress of the Journal of Open Source Software (JOSS). JOSS has the dual goals of improving the quality of the software submitted and providing a mechanism for research software developers to receive credit.”