ArticleCerebellum (London, England)2017
Computational Architecture of the Granular Layer of Cerebellum-Like Structures.
Article in Cerebellum (London, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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Who cites it
9 citing papers in PubMed.
- Similarities betweeneNeuro · 2026Article
- Tremor pathophysiology.Clinical parkinsonism & related disorders · 2026Review
- A computational model of the cerebellar granular layer calibrated to experimental data for studying inhibition and sensory encoding.Scientific reports · 2025Article
- The dorsal/ventral subdivision of the hindbrain predates the tunicate/vertebrate split.bioRxiv : the preprint server for biology · 2025Article
- Deep homologies in chordate caudal central nervous systems.bioRxiv : the preprint server for biology · 2024Article
- A cerebellum inspired spiking neural network as a multi-model for pattern classification and robotic trajectory prediction.Frontiers in neuroscience · 2022Article
- Modeling the Encoding of Saccade Kinematic Metrics in the Purkinje Cell Layer of the Cerebellar Vermis.Frontiers in computational neuroscience · 2018Article
- Temporal integration and 1/Journal of neurophysiology · 2017Article
- Sequential Pattern Formation in the Cerebellar Granular Layer.Cerebellum (London, England) · 2017Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the adaptive filter model of the cerebellum, the granular layer performs a recoding which expands incoming mossy fibre signals into a temporally diverse set of basis signals. The underlying neural mechanism is not well understood, although various mechanisms have been proposed, including delay lines, spectral timing and echo state networks. Here, we develop a computational simulation based on a network of leaky integrator neurons, and an adaptive filter performance measure, which allows candidate mechanisms to be compared. We demonstrate that increasing the circuit complexity improves adaptive filter performance, and relate this to evolutionary innovations in the cerebellum and cerebellum-like structures in sharks and electric fish. We show how recurrence enables an increase in basis signal duration, which suggest a possible explanation for the explosion in granule cell numbers in the mammalian cerebellum.
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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.