Article

A dataset of differentiable biologically-derived single neuron models

2025-12-05

Abstract excerpt

Biological neural networks contain diverse cell types with heterogeneous electrophysiological properties. Artificial neural networks (ANNs) model computational aspects of biology but use homogeneous neurons, limiting realism. A key obstacle to building bio-inspired ANNs is the absence of a database of neuron models that both fit biological data and remain differentiable for gradient-based learning. We present such...

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Literature Corpus work: 76f85b3a-8d82-586c-b82d-4cb8eead2c06
DOI: 10.64898/2025.12.02.691895

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