ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2010
Dynamics of excitability over extended timescales in cultured cortical neurons.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
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Who cites it
57 citing papers in PubMed.
- Emergence of Deviance Detection in Cortical Cultures Through Maturation, Criticality, and Early Experience.The European journal of neuroscience · 2026Article
- Distributional invariance and proportional scaling in axonal conduction.Biophysical journal · 2026Article
- Dynamics of excitability in axonal trees.Biophysical journal · 2026Article
- Single-Neuron Critical Intermittency in a Stochastic Hodgkin-Huxley Model.The European journal of neuroscience · 2025Article
- Adaptive proximity to criticality underlies amplification of ultra-slow fluctuations during free recall.PLoS computational biology · 2025Article
- Opportunities and Challenges of Brain-on-a-Chip Interfaces.Cyborg and bionic systems (Washington, D.C.) · 2025Review
- Deviance detection and regularity sensitivity in dissociated neuronal cultures.Frontiers in neural circuits · 2025Article
- Spiking image processing unit based on neural analog of Boolean logic operations.Cognitive neurodynamics · 2023Article
- A biophysical perspective on the resilience of neuronal excitability across timescales.Nature reviews. Neuroscience · 2023Review
- Biological complexity facilitates tuning of the neuronal parameter space.PLoS computational biology · 2023Article
- Selective inhibition of excitatory synaptic transmission alters the emergent bursting dynamics ofFrontiers in neural circuits · 2023Article
- Predictable Fluctuations in Excitatory Synaptic Strength Due to Natural Variation in Presynaptic Firing Rate.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Coordination Dynamics: A Foundation for Understanding Social Behavior.Frontiers in human neuroscience · 2020Article
- Contrasting the effects of adaptation and synaptic filtering on the timescales of dynamics in recurrent networks.PLoS computational biology · 2019Article
- The Energy Homeostasis Principle: Neuronal Energy Regulation Drives Local Network Dynamics Generating Behavior.Frontiers in computational neuroscience · 2019Article
- A Biohybrid Setup for Coupling Biological and Neuromorphic Neural Networks.Frontiers in neuroscience · 2019Article
- Functional Scaffolding for Brain Implants: Engineered Neuronal Network by Microfabrication and iPSC Technology.Frontiers in neuroscience · 2019Article
- Spontaneous activity emerging from an inferred network model captures complex spatio-temporal dynamics of spike data.Scientific reports · 2018Article
- Cellular function given parametric variation in the Hodgkin and Huxley model of excitability.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- Once upon a (slow) time in the land of recurrent neuronal networks….Current opinion in neurobiology · 2017Review
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Authors and funding
6 authors.
Funding
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Abstract
Although neuronal excitability is well understood and accurately modeled over timescales of up to hundreds of milliseconds, it is currently unclear whether extrapolating from this limited duration to longer behaviorally relevant timescales is appropriate. Here we used an extracellular recording and stimulation paradigm that extends the duration of single-neuron electrophysiological experiments, exposing the dynamics of excitability in individual cultured cortical neurons over timescales hitherto inaccessible. We show that the long-term neuronal excitability dynamics is unstable and dominated by critical fluctuations, intermittency, scale-invariant rate statistics, and long memory. These intrinsic dynamics bound the firing rate over extended timescales, contrasting observed short-term neuronal response to stimulation onset. Furthermore, the activity of a neuron over extended timescales shows transitions between quasi-stable modes, each characterized by a typical response pattern. Like in the case of rate statistics, the short-term onset response pattern that often serves to functionally define a given neuron is not indicative of its long-term ongoing response. These observations question the validity of describing neuronal excitability based on temporally restricted electrophysiological data, calling for in-depth exploration of activity over wider temporal scales. Such extended experiments will probably entail a different kind of neuronal models, accounting for the unbounded range, from milliseconds up.
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