Analysis of automatically measured behaviors of humans and animals
Date: Thursday 26 May 2016
Time: 3:00pm - 6:20pm
Location: Goldsmith 3
Organizers: Katrin Schenk (Randolph College, USA) and Maarten Loos (Sylics, Amsterdam)
Abstract: Recent advances in the versatility of monitoring tools and our increasing ability to process large data sets gives researchers an unprecedented capacity to analyze animal and human behavior. During the last decade, a number of different systems have been developed for automated monitoring and analysis of rodent behavior in a home-cage environment. These systems facilitate measuring behavior in a standardized setting, without human intervention, for prolonged periods of time. The combination of objectivity and large behavioral datasets have proven to greatly benefit the efficiency, sensitivity and reproducibility of behavioral experiments. In humans, the availability of robust and ubiquitous sensors such as those in cellular phones and smartwatches, allow for the continuous assessment of functional status as well as continuous disease progression tracking. However, to optimally make use of automated behavioral monitoring, optimized and validated behavioral tests and analysis methods are crucial.
This symposium will provide an up-to-date overview of automated systems, accessories, tests and data analysis methods, with a focus on the assessment of spontaneous behavior and the development of behavioral challenges for translational research.
15:00 - 15:20 Functional Monitoring of Home Dwelling Alzheimer’s Patients
Randolph College, United States of America; firstname.lastname@example.org
15:20 - 15:40 High-Throughput System for Mouse Behavioral Phenotyping in the Home Cage
1Northwestern University, United States of America; 2Randolph College, United States of America; 3University of California, San Francisco; email@example.com
16:00 - 16:20 Automatic Measurement of Behaviors for Intervention Optimization
16:20 - 16:40 Behavioural data analysis methods in the German Mouse Clinic
1Northwestern University, United States of America; 2Randolph College, United States of America; 3University of Nebraska Medical Center, United States of America; firstname.lastname@example.org
16:40 - 17:00 Systematic PhenoTyper data analysis using AHCODA analysis software and AHCODA-DB data repository
Bastijn Koopmans1, August B. Smit2, Matthijs Verhage3, Maarten Loos1
1Sylics (Synaptologics BV), Amsterdam; 2Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research (CNCR), Neuroscience Campus Amsterdam, VU University, Amsterdam; 3Department of Functional Genomics, Center for Neurogenomics and Cognitive Research (CNCR), Neuroscience Campus Amsterdam, VU University, Amsterdam; email@example.com
17:00 - 17:20 Tracking of Individual Mice in a Social Setting Using Video Tracking Combined with RFID tags
17:20 - 17:40 What can watching old mice tell us about aging?
17:40 - 18:00 Role of Computational Models in Automatic Measurement of Behaviors