ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2021
The Cellular Electrophysiological Properties Underlying Multiplexed Coding in Purkinje Cells.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 36 citations in OpenAlex.
- Cerebellar microcircuits enable robust evidence-based decisions through cortico-cerebellar coupling.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Purkinje Cell Collaterals Preferentially Target a Subtype of Molecular Layer Interneuron.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Article
- Cerebellar contributions to dystonia: unraveling the role of Purkinje cells and cerebellar nuclei.Dystonia (Lausanne, Switzerland) · 2025Article
- Branch-specific clustered parallel fiber input controls dendritic computation in Purkinje cells.iScience · 2024Article
- A Learning Dendritic Neuron-Based Motion Direction Detective System and Its Application to Grayscale Images.Brain sciences · 2024Article
- Computational Modeling of Extrasynaptic NMDA Receptors: Insights into Dendritic Signal Amplification Mechanisms.International journal of molecular sciences · 2024Article
- Purkinje cell models: past, present and future.Frontiers in computational neuroscience · 2024Review
- Basket to Purkinje Cell Inhibitory Ephaptic Coupling Is Abolished in Episodic Ataxia Type 1.Cells · 2023Article
- Motor cortex analogue neurons in songbirds utilize Kv3 channels to generate ultranarrow spikes.eLife · 2023Article
- Diverse role of NMDA receptors for dendritic integration of neural dynamics.PLoS computational biology · 2023Article
- Neuronal morphology enhances robustness to perturbations of channel densities.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Constrain Bias Addition to Train Low-Latency Spiking Neural Networks.Brain sciences · 2023Article
- Biologically-Based Computation: How Neural Details and Dynamics Are Suited for Implementing a Variety of Algorithms.Brain sciences · 2023Article
- Discrimination and learning of temporal input sequences in a cerebellar Purkinje cell model.Frontiers in cellular neuroscience · 2023Article
- The Shape of Data: a Theory of the Representation of Information in the Cerebellar Cortex.Cerebellum (London, England) · 2022Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 2 countries.
Funding
Abstract
Neuronal firing patterns are crucial to underpin circuit level behaviors. In cerebellar Purkinje cells (PCs), both spike rates and pauses are used for behavioral coding, but the cellular mechanisms causing code transitions remain unknown. We use a well-validated PC model to explore the coding strategy that individual PCs use to process parallel fiber (PF) inputs. We find increasing input intensity shifts PCs from linear rate-coders to burst-pause timing-coders by triggering localized dendritic spikes. We validate dendritic spike properties with experimental data, elucidate spiking mechanisms, and predict spiking thresholds with and without inhibition. Both linear and burst-pause computations use individual branches as computational units, which challenges the traditional view of PCs as linear point neurons. Dendritic spike thresholds can be regulated by voltage state, compartmentalized channel modulation, between-branch interaction and synaptic inhibition to expand the dynamic range of linear computation or burst-pause computation. In addition, co-activated PF inputs between branches can modify somatic maximum spike rates and pause durations to make them carry analog signals. Our results provide new insights into the strategies used by individual neurons to expand their capacity of information processing.
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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.