7 items tagged
MTurk MTurk is a online way to recruit subjects and perform tasks, widely used in psychology and machine learning to collect human perception and behavior data. Some terminology: HIT: Basically the task Requester: the experimenter Worker: the subjects An work through of a task (Image classification)
Note on Categorization and Concepts From lecture notes from Science of Behavior Configuration The relative configuration of a single elements Example: Face What defines a face? Components Essential feature Configural property Relative Invariance to many change in Stimuli
Note on Animal Perception From lecture of Science of Behavior What does it feel to be a bat!? Umwelt: the sensory world of an animal, can be very different from ours. Different precision, range … Use same modality in different ways: Sound Imaging Electro-/Magneto-reception “More extreme your claim, stronger your evidence!”
Note on Behavioral Study History of Behavioral Science Two historical trends of study combines into modern comparative cognition / behavioral science study. Comparative Psychology More in context of psychology: Athropocentric
DeepLabCut Trouble Shooting @(Ponce Lab) TOC {:toc} Install DLC Windows machine, follow the steps in install tutorial to establish the whole conda environment in the machine. Fail at first step Many of us just fail at first step, some error message like
Motivation Although there are a millennium of methods for neural and behavioral signal recording, the questions asked about the neural data is ususally less diverse. Ultimately, everything is number and we process numbers with algorithm.
How to automatically analyze behavior video? DeepLabCut is a powerful tool to rapidly1 train a neural network (based on ResNet) to track keypoints on movement videos, esp. those of moving human or animals. Thus this is a game changing tool for all kind of behavior quantification for neuroscience and psychology researchers (can be applied to nearly any behavioral science topic, e.g. motor learning, motor control, facial expression, social interaction…). The workflow is relatively simple and it scarcely takes time after the network have been trained, and the video analysis can be done automatically. Because of this it’s really favorable to the reserchers doing long term ecological video recording.