ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2013
Entrainment of the intrinsic dynamics of single isolated neurons by natural-like input.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Adaptive proximity to criticality underlies amplification of ultra-slow fluctuations during free recall.PLoS computational biology · 2025Article
- A biophysical perspective on the resilience of neuronal excitability across timescales.Nature reviews. Neuroscience · 2023Review
- On temporal scale-free non-periodic stimulation and its mechanisms as an infinite improbability drive of the brain's functional connectogram.Frontiers in neuroinformatics · 2023Review
- Neuromorphic-Based Neuroprostheses for Brain Rewiring: State-of-the-Art and Perspectives in Neuroengineering.Brain sciences · 2022Review
- Article
- Spontaneous and Perturbational Complexity in Cortical Cultures.Brain sciences · 2021Article
- Entrainment of Network Activity by Closed-Loop Microstimulation in Healthy Ambulatory Rats.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- Plasticity and Adaptation in Neuromorphic Biohybrid Systems.iScience · 2020Review
- Differential Effects of Open- and Closed-Loop Intracortical Microstimulation on Firing Patterns of Neurons in Distant Cortical Areas.Cerebral cortex (New York, N.Y. : 1991) · 2020Article
- Dynamic clamp constructed phase diagram for the Hodgkin and Huxley model of excitability.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- The Impact of Frequency Scale on the Response Sensitivity and Reliability of Cortical Neurons to 1/fFrontiers in cellular neuroscience · 2019Article
- A New, High-Efficacy, Noninvasive Transcranial Electric Stimulation Tuned to Local Neurodynamics.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018Article
- Investigating the impact of electrical stimulation temporal distribution on cortical network responses.BMC neuroscience · 2017Article
- Dynamical Timescale Explains Marginal Stability in Excitability Dynamics.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017Article
- Enhanced functional connectivity properties of human brains during in-situ nature experience.PeerJ · 2016Article
- Closed-loop neuro-robotic experiments to test computational properties of neuronal networks.Journal of visualized experiments : JoVE · 2015Article
- Characterizing the Input-Output Function of the Olfactory-Limbic Pathway in the Guinea Pig.Computational intelligence and neuroscience · 2015Article
- The neuronal response at extended timescales: a linearized spiking input-output relation.Frontiers in computational neuroscience · 2014Article
- The neuronal response at extended timescales: long-term correlations without long-term memory.Frontiers in computational neuroscience · 2014Article
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2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Neuronal dynamics is intrinsically unstable, producing activity fluctuations that are essentially scale free. Here we study single cortical neurons of newborn rats in vitro, and show that while these scale-free fluctuations are independent of temporal input statistics, they can be entrained by input variation. Joint input-output statistics and spike train reproducibility in synaptically isolated cortical neurons were measured in response to various input regimes over extended timescales (many minutes). Response entrainment was found to be maximal when the input itself possesses natural-like, scale-free statistics. We conclude that preference for natural stimuli, often observed at the system level, exists already at the elementary, single neuron level.
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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.