Livestream: Building a Brain Observatory for Visual Behavior
October 24 @ 8:30 pm - 9:30 pm
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We are developing the next generation of the Allen Brain Observatory, in which we will release neuronal activity across multiple cell types and brain regions while mice are making decisions based on the images they see. In this talk, we provide an overview of our Python-based infrastructure built to integrate automated training of mice into our existing open neuroscience data generation pipeline.
The Allen Brain Observatory, the newest publicly available resource from the Allen Institute for Brain Science, presents the first standardized and freely downloadable survey of neuronal activity in the mouse visual cortex, featuring representations of the visual world among 27,154 neurons at the latest release. We are developing the second generation of this dataset, in which we will release neuronal activity across multiple cell types and brain regions while mice are making decisions based on the images they see. In this talk, we provide an overview of our Python-based infrastructure built to integrate automated training of mice into our existing open neuroscience data generation pipeline. This infrastructure includes:
Automated training algorithms built on PsychoPy & PyDAQmxPyQT & Flask-based GUIs that allow technicians to manage training sessions & maintain mouse health recordsReal time monitoring & web-based data visualization with VEGA & pyzmqPosthoc analysis and visualization with pandas, matplotlib, & seaborn Automated progression through training stages using the transitions state machine framework
About the Speakers from The Allen Institute
Justin Kiggins is a data scientist in the Neural Coding group at the Allen Institute for Brain Science, where he develops data analysis pipelines for behavior and neurophysiology, algorithms for behavioral training, and machine learning analyses for large scale neuronal recordings. He does most of my work in Python, though he can code up a regression in R if necessary.
Doug Ollerenshaw is a Scientist II at the Allen Institute for Brain Science, where he studies visual sensory processing. He’s interested in understanding how the cortex transforms sensory information into percepts to drive behavior.
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