Scientific Short Courses
Get trained on emerging topics and research techniques in neuroscience.
Submit Ideas for 2020 Short Courses
SfN Scientific Short Courses train scientists in emerging topics and research techniques in neuroscience. The day-long courses are held on the Friday before the annual meeting.
SfN is seeking ideas for upcoming Short Courses and Virtual Conferences that reflect the needs of the neuroscience community. Share your ideas for topics and speakers in this survey.
Short Course 1: Neural Prosthetics and Brain Machine Interfaces
Organizers: Charles Liu, MD, PhD and Adrienne Fairhall, PhD
Faculty: Charles Liu, MD, PhD; Adrienne Fairhall, PhD; Maryam M Shanechi, PhD ; Amy Orsborn, PhD; Richard A Andersen, PhD; John P Donoghue, PhD; Sliman Bensmaia, PhD; Zoran Nenadic, PhD; Tim Denison, PhD; Winston Chiong, MD, PhD
Date & Time: October 18, 2019, from 8:30 a.m. — 6:00 p.m. CDT
Location: McCormick Place, Room S100A
Brain-machine interfaces (BCIs) are devices that make direct contact with neural systems, to translate brain signals into external commands, to provide input to replace or augment functionality, or to alter activity to disrupt dysfunction or drive plasticity. These tools are both an opportunity to replace or restore function, and a tool to better understand neural circuits. This short course will review technologies and algorithms for BCIs and neural prosthetics and discuss the transition to market.
Short Course 2: Quantifying Behavior as a Lens into the Brain
Organizers: Bob Datta, PhD and Mala Murthy, PhD
Faculty: Bob Datta, PhD; Mala Murthy, PhD; Anne Churchland, PhD; Megan Carey, PhD; Gordon Berman, PhD; Ben deBivort, PhD; Michael Orger, PhD; Jesse Goldberg, PhD; Kristin Branson, PhD; Andrew Leifer, PhD
Date & Time: October 18, 2019, from 8:00 a.m. — 6:00 p.m. CDT
Location: McCormick Place, Room S100BC
This course will cover new methods for collecting behavioral data, for characterizing behavioral dynamics, components and sequences, and for connecting neural activity with behavior across scales. The instructors have broad expertise in the development and application of these methods across a variety of model systems, and lectures and demos will focus both on technical details as well as conceptual issues. There will also be discussion of advances that are needed to resolve the neural mechanisms that give rise to the myriad ways in which animals interact with their environments.
Past Course Books and Recordings
PDF documents and recordings are available for review and use consistent with copyright requirements within each publication.
- Sex Differences in the Brain: Balancing Sex in Preclinical Research
- Functional, Structural, and Molecular Imaging, and Big Data Analysis
- Intersection Between Brain and Immune System in Health and Disease
- Neuroinformatics in the Age of Big Data: Working With the Right Data and Tools
- Using Single Cell Genomics to Analyze Neurons, Glia, and Circuits
- Data Science and Data Skills for Neuroscientists
- Using iPS Cells and Reprogramming to Model Neural Development and Disease
- The Impact of Human Genetics and Genomics in Neurobiology: From Disease Discovery to Fundamental Mechanisms (and Back)
- Advances in Multineuronal Monitoring of Brain Activity
- Advances in Brain-Scale, Automated Anatomical Techniques: Neuronal Reconstruction, Tract Tracing, and Atlasing