Taught by: Ethan Meyers, Hampshire College and MIT (July 23, 2015)
Description: Introduction to the Neural Decoding Toolbox implemented in MATLAB, used to analyze neural data from sources such as single-cell recordings, fMRI, MEG, and EEG, to understand the information contained in this data and how it may be encoded and decoded by the brain.
Slides: How to use decoding analyses to understand neural content and coding (PDF)
Additional Resources:
- Exercises 1 - Introduction to the Neural Decoding Toolbox using IT data from Ying Zhang in the laboratory of Robert Desimone
- Exercises 2 - Conduct a generalization analysis with the Neural Decoding Toolbox
- Neural Decoding Toolbox - download the toolbox and access sample datasets and code
- The Brains, Minds, and Machines Summer Course published on MIT OpenCourseWare contains a tutorial page on the Neural Decoding Toolbox with a lecture video, slides, and publications.
- Quian Quiroga, R. & Panzeri, S. (2009) “Extracting Information from Neuronal Populations: Information Theory and Decoding Approaches.” Nature Reviews Neuroscience 10: 173–185.
- King, J-R. & Dehaene, S. (2014) “Characterizing the Dynamics of Mental Representations: The Temporal Generalization Method.” Trends in Cognitive Sciences 18(4): 203–210.
- Meyers, E. M. (2013) “The Neural Decoding Toolbox.” Frontiers in Neuroinformatics 7(8): 1–12.
- Hung, C. P., Kreiman, G., Poggio, T. & DiCarlo, J. J. (2005) “Fast Readout of Object Identity from Macaque Inferior Temporal Cortex.” Science 310: 863–866.
- Meyers, E. M., Xue-Lian, Q. & Constantinidis, C. (2012) “Incorporation of New Information into Prefrontal Cortical Activity after Learning Working Memory Tasks.” PNAS 109(12): 4651–4656.
