avalanche_model

Repo for building spiking neural networks for modelling avalanche dynamics.

What is this repo for?

• the modelling of cascading avalanche dynamics using spiking neural networks
• the simulation of network response properties and dynamics in network models
• the simulation of small LIF networks in python

What does this repo contain?

• Modules contain functions which for network fitting and modeling
• Accompanying ipynotebooks demonstrate how to use the modules

Modules

'admin_functions.py' - useful administrative functions useful

'avalanches.py' - module for calculating avalanche dynamics and critical statistics

'IS.py' - module for Bayesian importance sampling approach for loglikelihood ratio testing of power law vs lognormal distribution

'network_mod.py' - module for the generation of network model architectures and simulation of dynamics, and data fitting

'network_stim.py' - module for the running of network perturbations and calculations of network dynamics and response properties

'network.py' - module for the construction of brain networks from empirical data

'trace_analyse.py' - module containing classes and functions for the analysis of single cell and population firing statistics

Notebooks

'net_fit.ipynb' - notebook for the generation of network model architectures and simulation of dynamics, and data fitting

'net_stim.ipynb' - notebook for the running of network perturbations and calculations of network dynamics and response properties

'LIF_py.ipynb' - notebook for the construction of small networks of LIF neurons in python

'network.ipynb' - notebook for the construction of brain networks from empirical data