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Contextual Dynamics Laboratory's Projects

seqnmf icon seqnmf

An algorithm for unsupervised discovery of sequential structure

sequences icon sequences

Define a "repeatability" index that says, for an arbitrary time series, how much "fractal structure" there is in the signal.

sherlock-topic-model-paper icon sherlock-topic-model-paper

Data and code for the paper "Geometric models reveal behavioural and neural signatures of transforming naturalistic experiences into episodic memories" by Andrew C. Heusser, Paxton C. Fitzpatrick, and Jeremy R. Manning

supereeg icon supereeg

Infer activity throughout the brain from a small(ish) number of electrodes using Gaussian process regression

timecorr icon timecorr

Estimate dynamic high-order correlations in multivariate timeseries data

timecorr-paper icon timecorr-paper

Paper and code for High-level cognition during story listening is reflected in high-order dynamic correlations in neural activity patterns

tubetopics icon tubetopics

Creates a topic model from a YouTube audio track using Latent Dirichlet Allocation (LDA) and google speech-to-text

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