Evolutionary Optimization of Single Cell Models
Workflow for generating all-active computational models of neurons, integrating electrophysiology, morphology, and transcriptomics data for comprehensive single-cell modeling.
Python
Single-Cell Model Handling
Tools and workflows for handling and analyzing single-cell models, supporting the computational pipeline for neuronal modeling and analysis.
Python
Cellular and Microcircuit Simulation of Human Epilepsy
Code base for multi-modal characterization and simulation of human epileptic circuitry, including Python, Matlab, and R implementations for comprehensive epilepsy research.
Jupyter Notebook
En Masse Cellular Models from Human Patch-seq Data
Bio-realistic human cortical single cell simulation models for BMTK+neuron, including all-active ion channels and ground truth from patch-seq experiments.
Python
Complexity of Human Single-Neurons
Analysis of how single neuron models react to random dendritic input, including complexity testing workflows and morphological complexity analysis of human cortical cells.
NMODL
ateam-tools
Shared modeling and analysis tools for internal use by the Anastassiou research team, including BMTK integration, morphological feature extraction, and simulation utilities.
Python
Impact of Biophysics and Motion Effects in Human Extracellular Unit Recordings
Single-cell all-active models of human neocortical neurons with detailed morphology simulating extracellular action potential waveforms and biophysics.
Jupyter Notebook