Mark-Kramer

Boston UniversityBoston, MA

Pinned Repositories

AES-SIG-2018
An Introduction to Network Analysis & EEG Interpretation
Language:Matlab4 4 00
Aperiodic-Exponent-Model
A simple, noise driven model of the 1/f-like neural field spectrum
Language:Jupyter Notebook5 2 01
BU-MA665-MA666
Comp neuro course at BU
Language:Jupyter Notebook26 12 260
Case-Studies-Kramer-Eden
Code and data for the book "Case Studies in Neural Data Analysis"
Language:Matlab33 7 825
Case-Studies-Python
An introduction to the practicing neuroscientist to data analysis in Python
Language:Jupyter Notebook152 12 1758
Golden-Framework
Golden rhythms publication - simulations and figures.
Language:Jupyter Notebook2 3 00
METER-Units
Language:Jupyter Notebook3 2 00
NESS-Short-Course-2023
Introduction to the analysis of neural electrophysiology data
Language:Jupyter Notebook3 2 00
Seizure-Waves
Analysis and modeling code for waves of seizure activity.
Language:MATLAB5 5 13
Spike-Ripple-Detector-Method
Language:MATLAB13 6 06

Mark-Kramer's Repositories

Mark-Kramer/Case-Studies-Python
An introduction to the practicing neuroscientist to data analysis in Python
Language:Jupyter Notebook152 12 1758
Mark-Kramer/BU-MA665-MA666
Comp neuro course at BU
Language:Jupyter Notebook26 12 260
Mark-Kramer/Spike-Ripple-Detector-Method
Language:MATLAB13 6 06
Mark-Kramer/Aperiodic-Exponent-Model
A simple, noise driven model of the 1/f-like neural field spectrum
Language:Jupyter Notebook5 2 01
Mark-Kramer/AES-SIG-2018
An Introduction to Network Analysis & EEG Interpretation
Language:Matlab4 4 00
Mark-Kramer/METER-Units
Language:Jupyter Notebook3 2 00
Mark-Kramer/NESS-Short-Course-2023
Introduction to the analysis of neural electrophysiology data
Language:Jupyter Notebook3 2 00
Mark-Kramer/Sleep-Networks-2021
Language:MATLAB3 3 04
Mark-Kramer/Golden-Framework
Golden rhythms publication - simulations and figures.
Language:Jupyter Notebook2 3 00
Mark-Kramer/MIT-Spike-Field-Coherence
Language:Jupyter Notebook2 3 01
Mark-Kramer/dppm
Matlab pipeline for simulating dynamical networks and evaluating dynamic community tracking methods, including CPM, MMM and DPPM
Language:MATLAB1 3 16
Mark-Kramer/Effect-of-inhibition-on-traveling-waves
Numerical simulation code for Gonzalez-Ramirez & Kramer 2018
Language:Matlab1 4 01
Mark-Kramer/Math-Neuro-Tools
Collection of links to mathematical/statistical neuroscience resources.
1 3 00
Mark-Kramer/Spindle-Detector-Method
Language:MATLAB1 4 7
Mark-Kramer/spline-granger-causality
A procedure to reduce the parameters estimated in Granger-causal analysis through temporal smoothing.
Language:Matlab1 3 01
Mark-Kramer/Recruitment-model
Language:Matlab0 3 00
Mark-Kramer/conda
Specifying a conda environment with `environment.yml`
Language:Jupyter Notebook2 0
Mark-Kramer/covid_analysis
Language:Jupyter Notebook2 0
Mark-Kramer/example-MA665-kramer
example code for MA665 using GitHub
Language:Python3 06
Mark-Kramer/export_fig
A MATLAB toolbox for exporting publication quality figures
Language:Matlab3 0
Mark-Kramer/fieldtrip
The MATLAB toolbox for MEG, EEG and iEEG analysis
Language:MATLAB1 0
Mark-Kramer/GLIF_Teeter_et_al_2018
Analysis code for Teeter et al 2018 Nature Communications Manuscript
Language:Python3 0
Mark-Kramer/GLM-CFC
A GLM based approach to measure CFC
Language:MATLAB2 0
Mark-Kramer/MultilayerBenchmark
A generative model for mesoscale structure in multilayer networks implemented in MATLAB
Language:Matlab3 0
Mark-Kramer/NeurodataX
Useful files for NeurodataX
3 01
Mark-Kramer/seir-kalman-filter
Language:MATLAB3 01
Mark-Kramer/Summer-AI
Language:Python3 0
Mark-Kramer/Summer-Coding-2021
3 0
Mark-Kramer/Summer-Coding-2022
3 0
Mark-Kramer/Summer-Coding-2023
2 0