ArticleNature communications2018
Systematic generation of biophysically detailed models for diverse cortical neuron types.
Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.
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Who cites it
68 citing papers in PubMed.
- Toward Reference-Grade neuron models.Communications biology · 2026Article
- Accurately fitting biophysical neuron models to experimental voltage data enabled by meta-learning.Research square · 2026Article
- Deep-learning-assisted simulation of a cortical circuit: integrating anatomy, physiology and function.bioRxiv : the preprint server for biology · 2026Article
- Automating population construction and parallel simulation of biophysical models for neuromuscular cells: An inverse approach.PLoS computational biology · 2026Article
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- Deriving connectivity from spiking activity in detailed models of large-scale cortical microcircuits.iScience · 2026Article
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- JAXLEY: differentiable simulation enables large-scale training of detailed biophysical models of neural dynamics.Nature methods · 2025Article
- Combined statistical-biophysical modeling links ion channel genes to physiology of cortical neuron types.Patterns (New York, N.Y.) · 2025Article
- Article
- Integrating multimodal data to understand cortical circuit architecture and function.Nature neuroscience · 2025Review
- Analyzing the brain's dynamic response to targeted stimulation using generative modeling.Network neuroscience (Cambridge, Mass.) · 2025Review
- Biophysical modeling and experimental analysis of the dynamics of C. elegans body-wall muscle cells.PLoS computational biology · 2025Article
- Evaluation and comparison of methods for neuronal parameter optimization using the Neuroptimus software framework.PLoS computational biology · 2024Article
- Large-Scale Mechanistic Models of Brain Circuits with Biophysically and Morphologically Detailed Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Review
- Synaptic and dendritic architecture of different types of hippocampal somatostatin interneurons.PLoS biology · 2024Article
- In-silico testing of new pharmacology for restoring inhibition and human cortical function in depression.Communications biology · 2024Article
- A universal workflow for creation, validation, and generalization of detailed neuronal models.Patterns (New York, N.Y.) · 2023Article
- Simulations of cortical networks using spatially extended conductance-based neuronal models.The Journal of physiology · 2023Review
- Ion-channel degeneracy and heterogeneities in the emergence of complex spike bursts in CA3 pyramidal neurons.The Journal of physiology · 2023Article
8 more citing papers are in PubMed but not listed here.
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8 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The cellular components of mammalian neocortical circuits are diverse, and capturing this diversity in computational models is challenging. Here we report an approach for generating biophysically detailed models of 170 individual neurons in the Allen Cell Types Database to link the systematic experimental characterization of cell types to the construction of cortical models. We build models from 3D morphologies and somatic electrophysiological responses measured in the same cells. Densities of active somatic conductances and additional parameters are optimized with a genetic algorithm to match electrophysiological features. We evaluate the models by applying additional stimuli and comparing model responses to experimental data. Applying this technique across a diverse set of neurons from adult mouse primary visual cortex, we verify that models preserve the distinctiveness of intrinsic properties between subsets of cells observed in experiments. The optimized models are accessible online alongside the experimental data. Code for optimization and simulation is also openly distributed.
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