ArticleFrontiers in cellular neuroscience2014
Model cerebellar granule cells can faithfully transmit modulated firing rate signals.
Article in Frontiers in cellular neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 19 citations in OpenAlex.
- Tremor pathophysiology.Clinical parkinsonism & related disorders · 2026Review
- Beyond synaptic plasticity: a summary of a linear model of the cerebellar locomotor computation.Frontiers in neural circuits · 2026Review
- A theory of cerebellar learning as spike-based reinforcement learning in continuous time and space.PNAS nexus · 2025Article
- Computational anatomy: the cerebellar microzone computation.Oxford open neuroscience · 2025Article
- Cerebellar-driven cortical dynamics can enable task acquisition, switching and consolidation.Nature communications · 2024Article
- Mechanisms Underlying Mu Opioid Receptor Effects on Parallel Fiber-Purkinje Cell Synaptic Transmission in Mouse Cerebellar Cortex.Frontiers in synaptic neuroscience · 2022Article
- Optimization of Efficient Neuron Models With Realistic Firing Dynamics. The Case of the Cerebellar Granule Cell.Frontiers in cellular neuroscience · 2020Article
- Culturing and patch clamping of Jurkat T cells and neurons on AlRSC advances · 2019Article
- Computational Principles of Supervised Learning in the Cerebellum.Annual review of neuroscience · 2018Review
- Spatiotemporal network coding of physiological mossy fiber inputs by the cerebellar granular layer.PLoS computational biology · 2017Article
- At the Edge of Chaos: How Cerebellar Granular Layer Network Dynamics Can Provide the Basis for Temporal Filters.PLoS computational biology · 2015Article
- A use-dependent increase in release sites drives facilitation at calretinin-deficient cerebellar parallel-fiber synapses.Frontiers in cellular neuroscience · 2015Article
- Integrated plasticity at inhibitory and excitatory synapses in the cerebellar circuit.Frontiers in cellular neuroscience · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A crucial assumption of many high-level system models of the cerebellum is that information in the granular layer is encoded in a linear manner. However, granule cells are known for their non-linear and resonant synaptic and intrinsic properties that could potentially impede linear signal transmission. In this modeling study we analyse how electrophysiological granule cell properties and spike sampling influence information coded by firing rate modulation, assuming no signal-related, i.e., uncorrelated inhibitory feedback (open-loop mode). A detailed one-compartment granule cell model was excited in simulation by either direct current or mossy-fiber synaptic inputs. Vestibular signals were represented as tonic inputs to the flocculus modulated at frequencies up to 20 Hz (approximate upper frequency limit of vestibular-ocular reflex, VOR). Model outputs were assessed using estimates of both the transfer function, and the fidelity of input-signal reconstruction measured as variance-accounted-for. The detailed granule cell model with realistic mossy-fiber synaptic inputs could transmit information faithfully and linearly in the frequency range of the vestibular-ocular reflex. This was achieved most simply if the model neurons had a firing rate at least twice the highest required frequency of modulation, but lower rates were also adequate provided a population of neurons was utilized, especially in combination with push-pull coding. The exact number of neurons required for faithful transmission depended on the precise values of firing rate and noise. The model neurons were also able to combine excitatory and inhibitory signals linearly, and could be replaced by a simpler (modified) integrate-and-fire neuron in the case of high tonic firing rates. These findings suggest that granule cells can in principle code modulated firing-rate inputs in a linear manner, and are thus consistent with the high-level adaptive-filter model of the cerebellar microcircuit.
Indexed as
Identifiers
What OpenQuestion holds
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.