The EBRAINS Hodgkin-Huxley Neuron Builder: An Online Resource For Building Data-Driven Neuron Models

Published on September 26, 2022

Just like an orchestra where each instrument contributes to a beautiful symphony, brain modeling enables us to understand the intricate workings of neural circuits. To build accurate data-driven neuron models, researchers need experimental data, analysis tools, and computing resources. However, these components are often scattered, requiring time-consuming programming. That’s where the EBRAINS Hodgkin-Huxley Neuron Builder comes in: it’s an online resource that brings all these elements together in one place! Using electrophysiological traces, this tool extracts activity features and optimizes model parameters using a genetic algorithm on high-performance computers. The result? An optimized model that can be simulated and interacted with in real-time. With its user-friendly interface and collaborative features, this builder streamlines the process of data-driven model building and encourages reproducibility. So grab your lab coat and explore the exciting world of brain modeling with the Hodgkin-Huxley Neuron Builder!

In the last decades, brain modeling has been established as a fundamental tool for understanding neural mechanisms and information processing in individual cells and circuits at different scales of observation. Building data-driven brain models requires the availability of experimental data and analysis tools as well as neural simulation environments and, often, large scale computing facilities. All these components are rarely found in a comprehensive framework and usually require ad hoc programming. To address this, we developed the EBRAINS Hodgkin-Huxley Neuron Builder, a web resource for building single cell neural models via the extraction of activity features from electrophysiological traces, the optimization of the model parameters via a genetic algorithm executed on high performance computing facilities and the simulation of the optimized model in an interactive framework. Thanks to its inherent characteristics, the Hodgkin-Huxley Neuron Builder facilitates the data-driven model building workflow and its reproducibility, hence fostering a collaborative approach

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