Posted Jun 25 2019
Machine learning methods enable researchers to discover statistical patterns in large datasets to solve a wide variety of tasks, including in neuroscience. Recent advances have led to an explosion in the scope and complexity of problems to which machine learning can be applied, with an accuracy rivaling or surpassing that of humans in some domains.
This virtual conference will illuminate the many ways machine learning and neuroscience intersect in the context of data analysis and modeling brain function, and how neuroscience can benefit from the machine learning revolution.
- Basic machine learning concepts and resources.
- Machine learning methods to automate analyses of large neuroscience datasets.
- Using deep network learning to gain insight into how the brain learns.
- Combining machine learning concepts with neuroscience theory to predict nervous system function and uncover general principles.
- The conference will end with speakers sharing their views on promising future directions for both machine learning and neuroscience.
To attend, follow this SfN Registration link. (Watch with colleagues, only one registration per group is required: http://bit.ly/2H8zXnh) On Twitter, follow the hashtag #SfNvirtual
Wednesday, June 26, 2019 - 11:00am to Thursday, June 27, 2019 - 4:45pm