Information-theoretic analyses of neural data to minimize the effect of researchers' assumptions in predictive coding studies.
Patricia WollstadtDaniel L. RathbunW. Martin UsreyAndré Moraes BastosMichael LindnerViola PriesemannMichael WibralPublished in: CoRR (2022)
Keyphrases
- information theoretic
- mutual information
- data sets
- information theory
- information theoretic measures
- high quality
- training data
- data structure
- probability distribution
- data points
- data distribution
- jensen shannon
- predictive coding
- higher order
- image data
- feature space
- similarity measure
- image sequences
- machine learning