Saeed Taghavi

Elite
@SaeedTaghavi

Postdoctoral Researcher | PhD Computational Physics

diffusion-equation. Fortran

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bifurcation_plot. bifurcation plot for the Guassian map for different parameters.

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dynamical_systems_neuroscience. Jupyter Notebook

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two_connected_neurons. C++

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gsl-fgsl-example. Fortran

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course_theoretical_neuroscience. Fortran

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harmonics. Jupyter Notebook

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TwitterStreamListner. Python

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HarmonicOscillator. A simple example of solving a harmonic oscillator

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numerical-analysis. Jupyter Notebook

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useful_python_codes. Here, I will post some of the simple and useful pieces of python code I have faced during my projects

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topological_mixing. Fortran

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kuramoto_with_noise. kuramoto with noise

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neuroscience-notebooks. Jupyter Notebook

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MathToolsforNeuroscience. Materials for Mathematical Tools for Neuroscience course at Harvard (Neurobio 212)

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BrainPy. BrainPy: a simulation toolbox for researches in computational neuroscience and brain-inspired computation

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Coupled-HH-neurons. Variation of the Hodgkin-Huxley model to study two coupled neurons.

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BrainPy-Models. Models and examples of BrainPy simulation framework.

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pyHH. A simple Python implementation of the Hodgkin-Huxley spiking neuron model

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open-computational-neuroscience-resources. A publicly-editable collection of open computational neuroscience resources

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learning_cpp. C++

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interactive_neuron_model_simulator. Interactive Matplotlib Plots in Python, convering Models such as the Leaky Integrate and Fire, Izhikevich Model, FitzHugh-Nagumo Model etc...

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Frontiers-for-Young-Minds. Makefile

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ComputationalNeurodynamics. Code and exercises for the Computational Neurodynamics course at Imperial College London

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bootcamp. Caltech Introduction to Programming for the Biological Science Bootcamp

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CompModellingPhysics. Lecture notes and computational exercises for the "Computational Modelling in Physics" module at QUB (PHY1024).

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Kalman-Filters. Kalman filtering, also known as linear quadratic estimation (LQE), is an algorithm that uses a series of measurements observed over time, containing statistical noise and other inaccuracies, and produces estimates of unknown variables that tend to be more accurate than those based on a single measurement alone, by estimating a joint probability distribution over the variables for each timeframe. The filter is named after Rudolf E. Kálmán, one of the primary developers of its theory.

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OpenData. A list of openly available datasets in (mostly human) electrophysiology.

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miniMolDyn. Simple Molecular Dynamics code with openMP parallelisation

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SimulationTutorials. Public tutorials around electrophysiological simulations

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multiscaleGrangerCausality. evaluate Granger Causality at multiple scales with the State Space formulation

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simple_molecular_dynamics. Simple molecular dynamics code, it include parallelization code.

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JuliaCon2019. Slides of my talk "Solving Delay Differential Equations with Julia" at JuliaCon 2019

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simple-molecular-dynamics. Some C++ code for basic Molecular Dynamics simulations.

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C. All Algorithms implemented in C

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Simple-Molecular-Dynamics-1. Simple Molecular Dynamics simulation, coursework for Compuational Physics course (Physics MSc level, Leiden University, 2019). Received grade: 10/10.

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stochastic-delay-differential-equation. Python

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EEG-Emotion-classification. Python

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ComputationalNeuroscience-1. Jupyter Notebook

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neural_network_dynamics. Theoretical analysis and numerical simulations of the emergent dynamics in spiking neural networks

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web_exercise. HTML

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python-for-neuroscience. A workshop for teaching python to neuroscientists with some previous programming experience.

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ComputationalNeuroscience. Simulations of various neuronal properties found in the brain, built using Python within Jupyter Notebook.

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itng_nest. Nest Simulator quick guides and examples, adding new model using NESTML

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GeneticAlgorithmsWithPython. source code from the book Genetic Algorithms with Python by Clinton Sheppard

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comp-neurosci. Problem sets and materials for systems and computational neuroscience course

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Computational-Neuroscience-UW. Python scripts that supplement the Coursera Computational Neuroscience course by the University of Washington

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python-in-neuroscience-tutorials. Collection of tutorials about methods of computational neuroscience using Python

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ModelingNeuralDynamics. An Introduction to Modeling Neuronal Dynamics - Borgers in python, Single Neuron Models, Mathematical Modeling, Computational Neuroscience, Hodgkin-Huxley Equations, Differential Equations, Brain Rhythms, Synchronization, Dynamics

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CNCC-2019. Computational Neuroscience Crash Course (CNCC 2019)

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Computational-Neuroscience-3. Code for the assignments for the Computational Neuroscience Course BT6270 in the Fall 2018 semester

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CNS2019_NEST_Tutorial. Jupyter Notebook

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Computational-Neuroscience-1. Jupyter Notebook

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MonteCarloIntegration. Python

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state_space. Limbo

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awesome-computational-neuroscience. A list of schools and researchers in computational neuroscience

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hopfieldNeuralNetwork. A simple Hopfield neural network for recalling memories

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Neuroscience-Information-Theory-Toolbox. A MATLAB toolbox for performing information theory analyses of neuroscience data

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python_neurobootcamp. Jupyter Notebook

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markdown_examples. this is a test repo for writing some reports in markdown format for using in github page

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