Name: M. Bilal Ghori
Type: User
Company: Xi'an Jiaotong University
Bio: A trained researcher in applied mathematic, currently working in the field of computational neuroscience, and an expert in international geopolitics.
Location: Xi'an, China
Blog: https://www.linkedin.com/in/muhammad-bilal-ghori-629735117/
M. Bilal Ghori's Projects
Simple Models of Single Neuron in Rodent Brains
Thalamocortical sleep model (Krishnan et al., 2016)
Code for work about Beta Oscillation
Code supporting 'Geometric constraints on human brain function'
Brain models implementation with BrainPy
Brain Dynamics Programming in Python
Code repository of the article: Rapid memory encoding in a recurrent network model with behavioral time scale synaptic plasticity
Causal inference of connectivity between neurons
The codes for Nat. Comm. paper entitled by "Complexity of cortical wave patterns of the wake mouse cortex"
Python scripts that supplement the Coursera Computational Neuroscience course by the University of Washington
Summer course content for Neuromatch Academy
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
A free, opensource, multiplatform, universal viewer and toolbox intended for, but not limited to, timeseries storage files like EEG, EMG, ECG, BioImpedance, etc.
Code for simulating aperiodic EEG signals and detrending EEG spectra, as well as generating figures used in manuscript.
Stochastic analysis of electrical activities in hippocampal CA3 pyramidal neuron model under electromagnetic induction
This toolbox was designed for detecting pathological activity (interictal spikes) in iEEG data recorded from epileptic patients.
Codes to reproduce Figures 1-7
This project provides the codes for the nested-spectral partition (NSP) method based on eigenmodes of human brain functional networks, and the measures of integration and segregation component.
Model 3 HH neurons connected in different motifs and different axonal delays. Compute synchronization between spikes and information flow between them.
This reporsitory hosts simulation files, data and plotting notebooks supporting the preprint 'Repetitive transcranial magnetic stimulation (rTMS) triggers dose-dependent homeostatic rewiring in recurrent neuronal networks' by Anil et.al., 2023.
This repository contains the simulation code to run single neuron simulations in the early version of bmtk (https://github.com/AllenInstitute/bmtk)
Code for manuscript 10.1101/2023.01.30.526209
Extended material of the summer course "Introduction to High-Performance Computing in Python for Scientists!". Goethe Research Academy for Early Career Researchers (GRADE), Goethe University Frankfurt, Germany.