Andrew P. Davison

The NeuroML ecosystem for standardized multi-scale modeling in neuroscience

The paper describes the NeuroML ecosystem, a standardized framework for multi-scale neuroscience modeling that promotes interoperability and FAIR principles in research workflows.

A comprehensive data-driven model of cat primary visual cortex

The paper presents a comprehensive spiking model of cat primary visual cortex constrained by anatomical and functional data, showing it matches experimental statistics and generates realistic neural activity.

The cortico-thalamic loop attunes competitive lateral interactions across retinotopic and orientation preference maps

The paper develops a spiking model of the cortico-thalamic loop to explain competitive interactions in visual processing and validates it against experimental data.

HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data

HippoUnit provides an open-source Python test suite to systematically compare and evaluate detailed models of rat hippocampal CA1 pyramidal neurons against electrophysiological data.

The SONATA Data Format for Efficient Description of Large-Scale Network Models

The paper introduces the SONATA data format to efficiently describe large-scale network models in neuroscience, enabling model construction, simulation, and sharing.

Open Source Brain: a collaborative resource for visualizing, analyzing, simulating and developing standardized models of neurons and circuits

Open Source Brain provides a platform for visualizing, simulating, and collaboratively developing standardized neuronal and circuit models to improve model transparency and reproducibility.

Towards standard practices for sharing computer code and programs in neuroscience

The paper discusses the importance of sharing computational code in neuroscience and highlights challenges in current practices.