Theoretical models of neural activity have led to major advances in how we understand the brain in simple and relatively complex behaviors. These models generally rely on synthetic generated data of brain activity and behaviors to be compared with real world...
Advancements in machine learning methods for video analysis have been a crucial development for understanding the neural underpinnings of freely-moving behaviors. Many of these methods emphasize pose estimation and tracking, but options for classifying specific...
Andre Spence and colleagues developed a closed-loop platform for studying locomotor behavior on treadmills. This tool is among several useful methods for studying locomotor behavior that is available from the Spence Lab at Temple University. The platform allowing for...
One of the major issues in modeling neuronal correlates of behavior is the vastly different protocols and data analysis methods between labs. Coralie-Anne Mosser and colleagues, however, have found a solution to this problem with their novel device, the...
In behavioral neuroscience, analyzing animal behavior is a key component to many experiments, but relying on manually scoring behaviors pose issues in reproducibility. In resolution, most have turned to computerized video-analysis systems that combine 2D images with...
In addition to our repository of projects, we’re introducing a blog forum for highlighting developers, events, workshops, and initiatives relevant to in the open source community. Have something to say? Contact us for opportunities to contribute to the blog!
Recent Comments