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.
gmm
Estimate Gaussian Mixture Model (GMM) with both EM Algorithm and Variational Inference (Variational Bayesian) from scratch
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
ahmeddeladly's Repositories
ahmeddeladly/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.
ahmeddeladly/Machine-Learning-for-Time-Series-with-Python
Machine Learning for Time-Series with Python.Published by Packt
ahmeddeladly/SpikeSortingTutorial
Short and easy tutorial on how to sort spikes from LFP data
ahmeddeladly/spiking_oscillators_new
Visualize the relation between coupling strength and settling phase of spiking-neuron oscillators
ahmeddeladly/System-Identification-Tensorflow-Examples
Jupyter notebook examples for the System-Identification-Tensorflow package for the "Linear Time Invariant State Space System Identification Using Adam Optimization" paper
ahmeddeladly/affinewarp
An implementation of piecewise linear time warping for multi-dimensional time series alignment
ahmeddeladly/CSE481_spectrogram_example
Example code for creating spectrograms from EEG data
ahmeddeladly/DenoiseEEG-GAN
Repository for Denoising EEG using GANs
ahmeddeladly/GGNB-python-course
GGNB Short Method Course "Spike-train analysis with Python" in the Gollisch Lab
ahmeddeladly/InVivo
MATLAB code for analysis of neural spike train data
ahmeddeladly/LehrprobeUOL
Lehrprobe: Spike train analysis using Python an der Carl von Ossietzky Universität Oldenburg
ahmeddeladly/ml_ms4alg
MountainSort v4
ahmeddeladly/naturalistic_data_analysis
A jupyter book for the OHBM educational workshop on analyzing naturalistic data.
ahmeddeladly/neural_data_science
Contains programming labs and lecture notes for the lecture "Neural Data Science"
ahmeddeladly/Neural_Decoding
A python package that includes many methods for decoding neural activity
ahmeddeladly/neuralflow
The framework for inferring Langevin dynamics from spike data
ahmeddeladly/NeuromatchAcademy
Repo containing computational neuroscience notebooks and a project detecting latent states in neural activity using Hidden Markov Models on spiking data, made during the Neuromatch Academy 2020.
ahmeddeladly/nitime
Timeseries analysis for neuroscience data
ahmeddeladly/pyARtACS
Python modules for removal of periodic artifacts, even when non-stationary and non-sinusoidal. Developed with application for tACS-EEG in mind.
ahmeddeladly/pyrcca
Regularized kernel canonical correlation analysis in Python
ahmeddeladly/python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
ahmeddeladly/Seizure-Detection-Tutorials
A series of tutorials teaching the use of Python for epileptic seizure detection on open-source datasets
ahmeddeladly/SIPPY
Systems Identification Package for PYthon
ahmeddeladly/sklearn-som
A simple, rectangular self-organizing map with methods similar to clustering methods in Scikit Learn.
ahmeddeladly/spiketutorials
Tutorials for using SpikeInterface on extracellular datasets.
ahmeddeladly/ST_DeepLearning
Code for the paper "A Novel Framework for Spatio-Temporal Prediction of Environmental Data Using Deep Learning"
ahmeddeladly/STA2536
For code and snippets for STA 2536: Data Science for Risk Modeling
ahmeddeladly/stats271sp2021
Material for STATS271: Applied Bayesian Statistics (Spring 2021)
ahmeddeladly/tensortools
A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
ahmeddeladly/The-Elements-of-Statistical-Learning-Python-Notebooks
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book