ahmeddeladly Goto Github PK

262046

Cortical Basal Ganglia Network Model during Closed-loop DBS (Fleming et al 2020)

affine_transformation

affinewarp

An implementation of piecewise linear time warping for multi-dimensional time series alignment

ahmeddeladly.github.io

appliedstatisticsforneuroscience

Materials for UC Berkeley Neuroscience 299

arch

ARCH models in Python

archetypes

Scikit-learn compatible package for archetypal analysis.

arm

My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill

assignment4-calcium_imaging_analysis

awesome-ts-anomaly-detection

List of tools & datasets for anomaly detection on time-series data.

bandratios

BandRatios project repository: Electrophysiological Frequency Band Ratio Measures Conflate Periodic and Aperiodic Neural Activity.

batescomputationalneuroscience_2020

Repository of Jupyter notebooks for NS/PY 357.

bayesian_statistical_modeling_with_stan_r_and_python

Kentaro Matsuura (2023). Bayesian Statistical Modeling with Stan, R, and Python. Springer, Singapore.

bci-fda

Brain-computer interface with Functional data analysis Human behavioral analysis and forecasting requires models, which have to predict target variables of complex structure. We develop PLS and CCA (Projection to latent space and Canonic correlation analysis) methods towards the Multiview with continuous-time data representation.

bda_py_demos

Bayesian Data Analysis demos for Python

behavenet

Toolbox for analyzing behavioral videos and neural activity

bg_selectivity

Experiments on a computational model of the basal ganglia.

bioimageanalysisnotebooks

Python Jupyter notebooks for BioImageAnalysis, GPU-accelerated image processing, bio-image data science and more

bookcode_edition1

bootstrap

Basic bootstrapping for estimation statistics.

building_probabilistic_graphical_models_in_python

Source code for the book "Building Probabilistic Graphical Models in Python"

burst_detection

Detect bursts in batched data using Kleinberg's (2002) algorithm.

caiman

Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.

calcium-imaging-data-analysis

In this project our aim is to study difference in neuronal activity between normal and genetically modified mice with epileptic behavior. To facilitate, here we are designing and implementing analysis pipeline to analyze ca2+ data.

cambam_workshop_neuron_excitability

Jupyter Notebooks for 2023 CAMBAM Workshop on Neuronal Excitability

case-studies-python

An introduction to the practicing neuroscientist to data analysis in Python

causal-inference-and-discovery-in-python

Causal Inference and Discovery in Python by Packt Publishing

causal_ccm

Package implementing Convergent Cross Mapping for causality inference in dynamical systems

causalimpact

Python port of CausalImpact R library

causallib

A Python package for modular causal inference analysis and model evaluations