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.
Taught by: Ethan Meyers, Hampshire College and MIT
- 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.