Machine Learning, Statistical Inference, and Neuroscience

The size and complexity of neural circuits, and of the experimental datasets collected for their study, motivate neuroscientists to study and foster advances in machine learning and statistical inference. Neuroscientists need both innovative new tools for large-scale data analysis, and a better formal understanding of learning and inference that could illuminate how neural circuits function. This meeting will bring together creative researchers from a broad range of the machine learning and statistical inference community, including many from outside neuroscience, to discuss current research frontiers and perhaps to spark new ideas for applications to problems in neural circuit analysis.