ArticlePhysical review. E, Statistical, nonlinear, and soft matter physics2013
How noise contributes to time-scale invariance of interval timing.
Article in Physical review. E, Statistical, nonlinear, and soft matter physics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 26 citations in OpenAlex.
- Cognitive and plastic recurrent neural network clock model for the judgment of time and its variations.Scientific reports · 2023Article
- Resource Allocation in the Noise-Free Striatal Beat Frequency Model of Interval Timing.Timing & time perception (Leiden, Netherlands) · 2023Article
- Is the scalar property of interval timing preserved after hippocampus lesions?Journal of theoretical biology · 2021Article
- What Behavioral Abilities Emerged at Key Milestones in Human Brain Evolution? 13 Hypotheses on the 600-Million-Year Phylogenetic History of Human Intelligence.Frontiers in psychology · 2021Article
- Scalar timing in memory: A temporal map in the hippocampus.Journal of theoretical biology · 2018Article
- A Population-Based Model of the Temporal Memory in the Hippocampus.Frontiers in neuroscience · 2018Article
- Inactivation of the Medial-Prefrontal Cortex Impairs Interval Timing Precision, but Not Timing Accuracy or Scalar Timing in a Peak-Interval Procedure in Rats.Frontiers in integrative neuroscience · 2018Article
- Biological and Cognitive Frameworks for a Mental Timeline.Frontiers in neuroscience · 2018Article
- Article
- Emotional modulation of interval timing and time perception.Neuroscience and biobehavioral reviews · 2016Review
- Clocks within Clocks: Timing by Coincidence Detection.Current opinion in behavioral sciences · 2016Article
- Cognitive Aging and Time Perception: Roles of Bayesian Optimization and Degeneracy.Frontiers in aging neuroscience · 2016Review
- Low-dimensional attractor for neural activity from local field potentials in optogenetic mice.Frontiers in computational neuroscience · 2015Article
- What is all the noise about in interval timing?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2014Article
- Comparison of interval timing behaviour in mice following dorsal or ventral hippocampal lesions with mice having δ-opioid receptor gene deletion.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2014Article
- Phase resetting and its implications for interval timing with intruders.Behavioural processes · 2014Article
- Hippocampus, time, and memory--a retrospective analysis.Behavioral neuroscience · 2013Article
- Why noise is useful in functional and neural mechanisms of interval timing?BMC neuroscience · 2013Article
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Authors and funding
2 authors at 1 institution in 1 country.
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Abstract
Time perception in the suprasecond range is crucial for fundamental cognitive processes such as decision making, rate calculation, and planning. In the vast majority of species, behavioral manipulations, and neurophysiological manipulations, interval timing is scale invariant: the time-estimation errors are proportional to the estimated duration. The origin and mechanisms of this fundamental property are unknown. We discuss the computational properties of a circuit consisting of a large number of (input) neural oscillators projecting on a small number of (output) coincidence detector neurons, which allows time to be coded by the pattern of coincidental activation of its inputs. We show that time-scale invariance emerges from the neural noise, such as small fluctuations in the firing patterns of its input neurons and in the errors with which information is encoded and retrieved by its output neurons. In this architecture, time-scale invariance is resistant to manipulations as it depends neither on the details of the input population nor on the distribution probability of noise.
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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.