ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2018
The Synaptic Properties of Cells Define the Hallmarks of Interval Timing in a Recurrent Neural Network.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 41 citations in OpenAlex.
- Toward reliable machine learning models for neural circuit inference: A diagnostic study of CNNs on spike trains.PLoS computational biology · 2026Article
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- Pre-supplementary Motor Cortex Mediates Learning Transfer from Perceptual to Motor Timing.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Diverse Time Encoding Strategies Within the Medial Premotor Areas of the Primate.Advances in experimental medicine and biology · 2024Review
- Neurocomputational Models of Interval Timing: Seeing the Forest for the Trees.Advances in experimental medicine and biology · 2024Review
- A Second Introduction to the Neurobiology of Interval Timing.Advances in experimental medicine and biology · 2024Review
- Article
- The neural bases for timing of durations.Nature reviews. Neuroscience · 2022Review
- Mapping between sound, brain and behaviour: four-level framework for understanding rhythm processing in humans and non-human primates.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021Review
- Differential Short-Term Plasticity of PV and SST Neurons Accounts for Adaptation and Facilitation of Cortical Neurons to Auditory Tones.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- Understanding the computation of time using neural network models.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- The amplitude in periodic neural state trajectories underlies the tempo of rhythmic tapping.PLoS biology · 2019Article
- A Temporal Signal-Processing Circuit Based on Spiking Neuron and Synaptic Learning.Frontiers in computational neuroscience · 2019Article
- Short-Term Synaptic Plasticity as a Mechanism for Sensory Timing.Trends in neurosciences · 2018Review
- Neural basis for categorical boundaries in the primate pre-SMA during relative categorization of time intervals.Nature communications · 2018Article
- Why Do Durations in Musical Rhythms Conform to Small Integer Ratios?Frontiers in computational neuroscience · 2018Article
Corrections and comments
- Erratum issued
Authors and funding
2 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Extensive research has described two key features of interval timing. The bias property is associated with accuracy and implies that time is overestimated for short intervals and underestimated for long intervals. The scalar property is linked to precision and states that the variability of interval estimates increases as a function of interval duration. The neural mechanisms behind these properties are not well understood. Here we implemented a recurrent neural network that mimics a cortical ensemble and includes cells that show paired-pulse facilitation and slow inhibitory synaptic currents. The network produces interval selective responses and reproduces both bias and scalar properties when a Bayesian decoder reads its activity. Notably, the interval-selectivity, timing accuracy, and precision of the network showed complex changes as a function of the decay time constants of the modeled synaptic properties and the level of background activity of the cells. These findings suggest that physiological values of the time constants for paired-pulse facilitation and GABAb, as well as the internal state of the network, determine the bias and scalar properties of interval timing.
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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.