ahmeddeladly
PhD in Information and Communications Technologies; Brain Computer Interfaces; Computational and Sensory Neuroscience; Reinforcement learning;
UCLACalifornia, USA
Pinned Repositories
arch
ARCH models in Python
assignment4-calcium_imaging_analysis
BG_selectivity
Experiments on a computational model of the basal ganglia.
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.
GP_algorithm
Implementation of the Grassberger-Procaccia algorithm to estimate the Correlation Dimension of a set of points
hmm-mne
Hidden Markov Modelling of M/EEG data.
Hydra-Neural-Activity-Analysis
Single-cell neural activity processing toolkit for calcium imaging recordings of deformable organisms
kCSD-python
Kernel Current Source Density
machine-learning
Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic Indexing, Principal Component Analysis, Singular Value Decomposition, K Nearest Neighbors, K Means, Naïve Bayes Mixture Model, Gaussian Discriminant Analysis, Newton Method, Coordinate Descent, Gradient Descent, Elastic Net Regression, Ridge Regression, Lasso Regression, Least Squares, Logistic Regression, Linear Regression
ahmeddeladly's Repositories
ahmeddeladly/Spike-Trigerred-Average
Neural Encoding : Computing Spike-Triggered Average from stimulus-time series and spike-time series. (Computational Neuroscience Coursera)
ahmeddeladly/BayesianLogisticRegressionEP
Implementation of Bayesian Logistic Regression using Expectation Propagation for approximate inference
ahmeddeladly/Surface-Laplacian
Apply surface laplacian transform to mne Epochs objects
ahmeddeladly/singular-spectrum-transformation
fast implementation of singular spectrum transformation (change point detection algorithm)
ahmeddeladly/SpikeTrainStatistics
Some simple spike train statistics
ahmeddeladly/mouse_chromatic
notebooks and code for Denman et al., 2016, Journal of Neuroscience and Denman et al., 2018, eLife
ahmeddeladly/mca
Multiple correspondence analysis
ahmeddeladly/psd_fit
Algorithm to fit 1/f and oscillatory components to PSD
ahmeddeladly/pacpy
Calculate phase-amplitude coupling in Python (and Matlab).
ahmeddeladly/neuroML
A set of notebooks to introduce neuroscientists to concepts in machine learning.
ahmeddeladly/Building_Probabilistic_Graphical_Models_in_Python
Source code for the book "Building Probabilistic Graphical Models in Python"
ahmeddeladly/Decision-Trees-For-Knowledge-Discovery
Understand and modelize the structure behind your data with Decision Trees
ahmeddeladly/Computational-Neuroscience-UW
Python scripts that supplement the Coursera Computational Neuroscience course by the University of Washington
ahmeddeladly/time-series-clustering
Project for PV056 Machine learning course on clustering of time series
ahmeddeladly/hodgkin-huxley-model
Neuron activation model with iPython notebook
ahmeddeladly/python-in-neuroscience-tutorials
Collection of tutorials about methods of computational neuroscience using Python
ahmeddeladly/Corr_Dim
Compute the Correlation Dimension of a Time Series
ahmeddeladly/BDA3
I put some codes of the exercises and contents in Bayesian Data Analysis, Third Edition (BDA3) (Andrew Gelman el al. (2013)).
ahmeddeladly/pykCSD
Object oriented Python kernel current source density toolbox