ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2008
Spike-rate coding and spike-time coding are affected oppositely by different adaptation mechanisms.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.
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71 citing papers in PubMed.
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- Encoding of Vibrotactile Stimuli by Mechanoreceptors in Rodent Glabrous Skin.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Persistent Interruption in Parvalbumin-Positive Inhibitory Interneurons: Biophysical and Mathematical Mechanisms.eNeuro · 2024Article
- An artificial visual neuron with multiplexed rate and time-to-first-spike coding.Nature communications · 2024Article
- Persistent Interruption in Parvalbumin Positive Inhibitory Interneurons: Biophysical and Mathematical Mechanisms.bioRxiv : the preprint server for biology · 2024Article
- Short-term neuronal and synaptic plasticity act in synergy for deviance detection in spiking networks.PLoS computational biology · 2023Article
- Mammalian-brain-inspired neuromorphic motion-cognition nerve achieves cross-modal perceptual enhancement.Nature communications · 2023Article
- Spike-frequency adaptation inhibits the pairwise spike correlation.Frontiers in neuroscience · 2023Article
- A dynamic spike threshold with correlated noise predicts observed patterns of negative interval correlations in neuronal spike trains.Biological cybernetics · 2022Article
- Physiological noise facilitates multiplexed coding of vibrotactile-like signals in somatosensory cortex.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- A Flexible Artificial Sensory Nerve Enabled by Nanoparticle-Assembled Synaptic Devices for Neuromorphic Tactile Recognition.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
- Theoretical analysis of effects of transcranial magneto-acoustical stimulation on neuronal spike-frequency adaptation.BMC neuroscience · 2022Article
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- Interspike interval correlations in neuron models with adaptation and correlated noise.PLoS computational biology · 2021Article
- Degeneracy in the emergence of spike-triggered average of hippocampal pyramidal neurons.Scientific reports · 2020Article
- Positive Modulation of SK Channel Impedes Neuron-Specific Cytoskeletal Organization and Maturation.Developmental neuroscience · 2020Article
11 more citing papers are in PubMed but not listed here.
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Abstract
Spike-frequency adaptation causes reduced spiking during prolonged stimulation, but the full impact of adaptation on neural coding is far more complex, especially if one takes into account the diversity of biophysical mechanisms mediating adaptation and the different ways in which neural information can be encoded. Here, we show that adaptation has opposite effects depending on the neural coding strategy and the biophysical mechanism responsible for adaptation. Under noisy conditions, calcium-activated K(+) current (I(AHP)) improved efficient spike-rate coding at the expense of spike-time coding by regularizing the spike train elicited by slow or constant inputs; noise power was increased at high frequencies but reduced at low frequencies, consistent with noise shaping that improves coding of low- frequency signals. In contrast, voltage-activated M-type K(+) current (I(M)) improved spike-time coding at the expense of spike-rate coding by stopping the neuron from spiking repetitively to slow inputs so that it could generate isolated, well timed spikes in response to fast inputs. Using dynamical systems analysis, we demonstrate how I(AHP) minimizes perturbation of the interspike interval caused by high- frequency noise, whereas I(M) minimizes disruption of spike-timing accuracy caused by repetitive spiking. The dichotomous outcomes are related directly to the distinct activation requirements for I(AHP) and I(M), which in turn dictate whether those currents mediate negative feedback onto spiking or membrane potential. Thus, based on their distinct activation properties, I(AHP) implements noise shaping that improves spike-rate coding of low-frequency signals, whereas I(M) implements high-pass filtering that improves spike-time coding of high- frequency signals.
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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.