ArticleJournal of computational neuroscience2016
Automated evolutionary optimization of ion channel conductances and kinetics in models of young and aged rhesus monkey pyramidal neurons.
Article in Journal of computational neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 37 citations in OpenAlex.
- Axon collateralization and focal myelin dystrophy alter action potential propagation in multicompartment pyramidal neuron models.PLoS computational biology · 2025Article
- Generation of biophysical neuron model parameters from recorded electrophysiological responses.eLife · 2025Article
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- Myelin dystrophy in the aging prefrontal cortex leads to impaired signal transmission and working memory decline: a multiscale computational study.bioRxiv : the preprint server for biology · 2023Article
- Single-neuron models linking electrophysiology, morphology, and transcriptomics across cortical cell types.Cell reports · 2022Article
- Training spiking neuronal networks to perform motor control using reinforcement and evolutionary learning.Frontiers in computational neuroscience · 2022Article
- Neuronal population models reveal specific linear conductance controllers sufficient to rescue preclinical disease phenotypes.iScience · 2021Article
- Comparative neuropathology in aging primates: A perspective.American journal of primatology · 2021Review
- Simulating Large-scale Models of Brain Neuronal Circuits using Google Cloud Platform.PEARC20 : Practice and Experience in Advanced Research Computing 2020 : Catch the wave : July 27-31, 2020, Portland, Or Virtual Conference. Practice and Experience in Advanced Research Computing (Conference) (2020 : Online) · 2020Article
- The Human Body as a Super Network: Digital Methods to Analyze the Propagation of Aging.Frontiers in aging neuroscience · 2020Article
- Dimensions of control for subthreshold oscillations and spontaneous firing in dopamine neurons.PLoS computational biology · 2019Article
- Transient, Consequential Increases in Extracellular Potassium Ions Accompany Channelrhodopsin2 Excitation.Cell reports · 2019Article
- Article
- Network Models Predict That Pyramidal Neuron Hyperexcitability and Synapse Loss in the dlPFC Lead to Age-Related Spatial Working Memory Impairment in Rhesus Monkeys.Frontiers in computational neuroscience · 2019Article
- A stepwise neuron model fitting procedure designed for recordings with high spatial resolution: Application to layer 5 pyramidal cells.Journal of neuroscience methods · 2018Article
- Differential changes to D1 and D2 medium spiny neurons in the 12-month-old Q175+/- mouse model of Huntington's Disease.PloS one · 2018Article
- Parameter Optimization Using Covariance Matrix Adaptation-Evolutionary Strategy (CMA-ES), an Approach to Investigate Differences in Channel Properties Between Neuron Subtypes.Frontiers in neuroinformatics · 2018Article
- Optimizing computer models of corticospinal neurons to replicate in vitro dynamics.Journal of neurophysiology · 2017Article
- Article
- Evolutionary algorithm optimization of biological learning parameters in a biomimetic neuroprosthesis.IBM journal of research and developmentArticle
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
Abstract
Conductance-based compartment modeling requires tuning of many parameters to fit the neuron model to target electrophysiological data. Automated parameter optimization via evolutionary algorithms (EAs) is a common approach to accomplish this task, using error functions to quantify differences between model and target. We present a three-stage EA optimization protocol for tuning ion channel conductances and kinetics in a generic neuron model with minimal manual intervention. We use the technique of Latin hypercube sampling in a new way, to choose weights for error functions automatically so that each function influences the parameter search to a similar degree. This protocol requires no specialized physiological data collection and is applicable to commonly-collected current clamp data and either single- or multi-objective optimization. We applied the protocol to two representative pyramidal neurons from layer 3 of the prefrontal cortex of rhesus monkeys, in which action potential firing rates are significantly higher in aged compared to young animals. Using an idealized dendritic topology and models with either 4 or 8 ion channels (10 or 23 free parameters respectively), we produced populations of parameter combinations fitting the target datasets in less than 80 hours of optimization each. Passive parameter differences between young and aged models were consistent with our prior results using simpler models and hand tuning. We analyzed parameter values among fits to a single neuron to facilitate refinement of the underlying model, and across fits to multiple neurons to show how our protocol will lead to predictions of parameter differences with aging in these neurons.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.