ArticlePLoS computational biology2021
Burst control: Synaptic conditions for burst generation in cortical layer 5 pyramidal neurons.
Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed.
- Dendritic morphology and synaptic nonlinearities enhance functional complexity in human cortical neurons.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- The Distinct Electrophysiological Mechanisms in the Cortico-Striatal Circuit of LID Rats.Biology · 2026Article
- Microglia Modulate Information Processing in the Mouse Barrel Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
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- Systemic Neurodegeneration and Brain Aging: Multi-Omics Disintegration, Proteostatic Collapse, and Network Failure Across the CNS.Biomedicines · 2025Review
- Effects of dendritic CaJournal of computational neuroscience · 2025Article
- Electrophysiological and biophysical perspectives on the clitoral corpus cavernosum and its role in female sexual arousal disorder.Frontiers in physiology · 2025Review
- What makes human cortical pyramidal neurons functionally complex.bioRxiv : the preprint server for biology · 2024Article
- Making time and space for calcium control of neuron activity.Current opinion in neurobiology · 2023Review
- Cortical origin of theta error signals.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- The impact of Hodgkin-Huxley models on dendritic research.The Journal of physiology · 2023Review
- Synaptic Input and ACh Modulation Regulate Dendritic CaThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Aging-Dependent Altered Transcriptional Programs Underlie Activity Impairments in Human C9orf72-Mutant Motor Neurons.Frontiers in molecular neuroscience · 2022Article
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2 authors.
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Abstract
The output of neocortical layer 5 pyramidal cells (L5PCs) is expressed by a train of single spikes with intermittent bursts of multiple spikes at high frequencies. The bursts are the result of nonlinear dendritic properties, including Na+, Ca2+, and NMDA spikes, that interact with the ~10,000 synapses impinging on the neuron's dendrites. Output spike bursts are thought to implement key dendritic computations, such as coincidence detection of bottom-up inputs (arriving mostly at the basal tree) and top-down inputs (arriving mostly at the apical tree). In this study we used a detailed nonlinear model of L5PC receiving excitatory and inhibitory synaptic inputs to explore the conditions for generating bursts and for modulating their properties. We established the excitatory input conditions on the basal versus the apical tree that favor burst and show that there are two distinct types of bursts. Bursts consisting of 3 or more spikes firing at < 200 Hz, which are generated by stronger excitatory input to the basal versus the apical tree, and bursts of ~2-spikes at ~250 Hz, generated by prominent apical tuft excitation. Localized and well-timed dendritic inhibition on the apical tree differentially modulates Na+, Ca2+, and NMDA spikes and, consequently, finely controls the burst output. Finally, we explored the implications of different burst classes and respective dendritic inhibition for regulating synaptic plasticity.
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