ArticlePLoS computational biology2014
Glutamate-bound NMDARs arising from in vivo-like network activity extend spatio-temporal integration in a L5 cortical pyramidal cell model.
Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed.
- Article
- Distinct sensorimotor encoding in tuft dendrites and somata associated with action, correction, and learning.bioRxiv : the preprint server for biology · 2026Article
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- Article
- Competitive processes shape multi-synapse plasticity along dendritic segments.Nature communications · 2024Article
- Glutamate spillover drives robust all-or-none dendritic plateau potentials-anFrontiers in cellular neuroscience · 2023Article
- Spatial integration of dendrites in fast-spiking basket cells.Frontiers in neuroscience · 2023Article
- Activity-dependent modulation of NMDA receptors by endogenous zinc shapes dendritic function in cortical neurons.Cell reports · 2022Article
- Structure, Function, and Pharmacology of Glutamate Receptor Ion Channels.Pharmacological reviews · 2021Review
- Active dendrites enable strong but sparse inputs to determine orientation selectivity.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Modeling Reveals Human-Rodent Differences in H-Current Kinetics Influencing Resonance in Cortical Layer 5 Neurons.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- Illuminating dendritic function with computational models.Nature reviews. Neuroscience · 2020Review
- Impact of functional synapse clusters on neuronal response selectivity.Nature communications · 2020Article
- Article
- Article
- Human Cortical Pyramidal Neurons: From Spines to Spikes via Models.Frontiers in cellular neuroscience · 2018Article
- Basal tree complexity shapes functional pathways in the prefrontal cortex.Journal of neurophysiology · 2017Article
- Cell-type-specific inhibition of the dendritic plateau potential in striatal spiny projection neurons.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- Nanoscale diffusion in the synaptic cleft and beyond measured with time-resolved fluorescence anisotropy imaging.Scientific reports · 2017Article
- Dendritic Spikes in Sensory Perception.Frontiers in cellular neuroscience · 2017Review
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5 authors.
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Abstract
In vivo, cortical pyramidal cells are bombarded by asynchronous synaptic input arising from ongoing network activity. However, little is known about how such 'background' synaptic input interacts with nonlinear dendritic mechanisms. We have modified an existing model of a layer 5 (L5) pyramidal cell to explore how dendritic integration in the apical dendritic tuft could be altered by the levels of network activity observed in vivo. Here we show that asynchronous background excitatory input increases neuronal gain and extends both temporal and spatial integration of stimulus-evoked synaptic input onto the dendritic tuft. Addition of fast and slow inhibitory synaptic conductances, with properties similar to those from dendritic targeting interneurons, that provided a 'balanced' background configuration, partially counteracted these effects, suggesting that inhibition can tune spatio-temporal integration in the tuft. Excitatory background input lowered the threshold for NMDA receptor-mediated dendritic spikes, extended their duration and increased the probability of additional regenerative events occurring in neighbouring branches. These effects were also observed in a passive model where all the non-synaptic voltage-gated conductances were removed. Our results show that glutamate-bound NMDA receptors arising from ongoing network activity can provide a powerful spatially distributed nonlinear dendritic conductance. This may enable L5 pyramidal cells to change their integrative properties as a function of local network activity, potentially allowing both clustered and spatially distributed synaptic inputs to be integrated over extended timescales.
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