ReviewNature reviews. Neuroscience2020
Illuminating dendritic function with computational models.
Review in Nature reviews. Neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers.
What it found
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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
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Who cites it
102 citing papers in PubMed.
- Tuft Dendrite Spikes Are Accompanied by Selective Input From Distinct Functional Networks.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Dendritic shaft constrictions shape synaptic integration in neurons.Science advances · 2026Article
- Tuft dendrite spikes are accompanied by selective input from distinct functional networks.bioRxiv : the preprint server for biology · 2026Article
- Article
- Simple input-output dependencies explain neuronal activity.Nature physics · 2026Article
- The Neural Analysis Toolkit Unifies Semi-Analytical Techniques to Simplify, Understand, and Simulate Dendrites.Neuroinformatics · 2026Article
- Article
- A novel framework for expanding RNNs with biophysical detail to solve cognitive tasks.bioRxiv : the preprint server for biology · 2026Article
- Dendritic heterosynaptic plasticity arises from calcium-based input learning.Communications biology · 2026Article
- Chromatin remodelling subunit SMARCB1 is implicated in dendrite development and complex brain functions.Acta neuropathologica communications · 2026Article
- Robust maintenance of both stimulus location and amplitude in a working memory model based on dendritic bistability.bioRxiv : the preprint server for biology · 2026Article
- Tracking the morphological evolution of neuronal dendrites by first-passage analysis.Biophysical journal · 2026Article
- Fast dendritic excitations primarily mediate back-propagation in CA1 pyramidal neurons during behavior.bioRxiv : the preprint server for biology · 2026Article
- Effects of repetitive scanning ultrasound on the intraneuronal dendritic signalling of CA1 pyramidal neurons.Frontiers in behavioral neuroscience · 2026Article
- Going deeper with morphologically detailed neural networks by simulation-based gradient propagation.Frontiers in computational neuroscience · 2026Article
- Article
- A Neural Model for V1 That Incorporates Dendritic Nonlinearities and Backpropagating Action Potentials.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Synergistic Reinforcement Learning by Cooperation of the Cerebellum and Basal Ganglia.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Energy optimization induces predictive-coding properties in a multi-compartment spiking neural network model.PLoS computational biology · 2025Article
- Parallel synapses with transmission nonlinearities enhance neuronal classification capacity.PLoS computational biology · 2025Article
42 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Dendrites have always fascinated researchers: from the artistic drawings by Ramon y Cajal to the beautiful recordings of today, neuroscientists have been striving to unravel the mysteries of these structures. Theoretical work in the 1960s predicted important dendritic effects on neuronal processing, establishing computational modelling as a powerful technique for their investigation. Since then, modelling of dendrites has been instrumental in driving neuroscience research in a targeted manner, providing experimentally testable predictions that range from the subcellular level to the systems level, and their relevance extends to fields beyond neuroscience, such as machine learning and artificial intelligence. Validation of modelling predictions often requires - and drives - new technological advances, thus closing the loop with theory-driven experimentation that moves the field forward. This Review features the most important, to our understanding, contributions of modelling of dendritic computations, including those pending experimental verification, and highlights studies of successful interactions between the modelling and experimental neuroscience communities.
Indexed as
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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.