Meyer Lab
Popular repositories
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empirical_dynamic_modelling
empirical_dynamic_modelling PublicRepo for running empirical dynamic modelling techniques on data - using lagged coordinate embedding to perform simplex projection and convergent cross mapping (CCM) - techniques which can account f…
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development_network_model
development_network_model PublicRepo for simulating spiking network models over development to understand mechanisms shaping self organising criticality in the brain.
Python 2
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suite2p_analysis_py
suite2p_analysis_py PublicWorking with suite2p segmented functional images
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criticality
criticality PublicRepo contains code for algorithms which calculate the spatiotemporal cascade of activity and measures critical statistics.
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seizure_dynamics
seizure_dynamics PublicRepo for calculating eigenspectra, population smoothness and velocity in spontaneous dynamics.
Repositories
- zebrafishtrack_analysis Public
The R script bundle used for importing data from tracker and for behavioural analysis
- empirical_dynamic_modelling Public
Repo for running empirical dynamic modelling techniques on data - using lagged coordinate embedding to perform simplex projection and convergent cross mapping (CCM) - techniques which can account for non-linear dynamics to reconstruct attractors from time series data.
- criticality Public
Repo contains code for algorithms which calculate the spatiotemporal cascade of activity and measures critical statistics.
- development_network_model Public
Repo for simulating spiking network models over development to understand mechanisms shaping self organising criticality in the brain.
- seizure_detection Public
This repo is used for detecting the timecourse of seizure events in generalised and focal seizures in larval zebrafish PTZ data.
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- seizure_dynamics Public
Repo for calculating eigenspectra, population smoothness and velocity in spontaneous dynamics.
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- vcortex_encoding Public
Repo for analysing dimensionality of spontaneous and evoked activity, and encoding of stimuli in the layers of the visual cortex, using dimensionality reduction, logistic and linear regression.
