ArticleNeuron2018
Global and Multiplexed Dendritic Computations under In Vivo-like Conditions.
Article in Neuron, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
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Who cites it
48 citing papers in PubMed.
- Highly attenuated dendritic propagation of isolated synaptic potentials in vivo.Science advances · 2026Article
- 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
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- Flexible integration of natural stimuli by auditory cortical neurons.Journal of neurophysiology · 2026Article
- The Neural Analysis Toolkit Unifies Semi-Analytical Techniques to Simplify, Understand, and Simulate Dendrites.Neuroinformatics · 2026Article
- Article
- Going deeper with morphologically detailed neural networks by simulation-based gradient propagation.Frontiers in computational neuroscience · 2026Article
- Nonlinear Dendritic Integration Supports Up-Down States in Single Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Dendritic synaptic integration modes under in vivo-like states.Biophysical journal · 2025Article
- Learning to combine top-down context and feed-forward representations under ambiguity with apical and basal dendrites.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Article
- What makes human cortical pyramidal neurons functionally complex.bioRxiv : the preprint server for biology · 2024Article
- Demonstration that sublinear dendrites enable linearly non-separable computations.Scientific reports · 2024Article
- Learning, Fast and Slow: Single- and Many-Shot Learning in the Hippocampus.Annual review of neuroscience · 2024Review
- Functional architecture of intracellular oscillations in hippocampal dendrites.Nature communications · 2024Article
- Probing multiplexed basal dendritic computations using two-photon 3D holographic uncaging.Cell reports · 2024Article
- Network-neuron interactions underlying sensory responses of layer 5 pyramidal tract neurons in barrel cortex.PLoS computational biology · 2024Article
- Functional architecture of intracellular oscillations in hippocampal dendrites.bioRxiv : the preprint server for biology · 2024Article
- Diversity of dynamic voltage patterns in neuronal dendrites revealed by nanopipette electrophysiology.Nanoscale · 2023Article
Corrections and comments
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4 authors.
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Abstract
Dendrites integrate inputs nonlinearly, but it is unclear how these nonlinearities contribute to the overall input-output transformation of single neurons. We developed statistically principled methods using a hierarchical cascade of linear-nonlinear subunits (hLN) to model the dynamically evolving somatic response of neurons receiving complex, in vivo-like spatiotemporal synaptic input patterns. We used the hLN to predict the somatic membrane potential of an in vivo-validated detailed biophysical model of a L2/3 pyramidal cell. Linear input integration with a single global dendritic nonlinearity achieved above 90% prediction accuracy. A novel hLN motif, input multiplexing into parallel processing channels, could improve predictions as much as conventionally used additional layers of local nonlinearities. We obtained similar results in two other cell types. This approach provides a data-driven characterization of a key component of cortical circuit computations: the input-output transformation of neurons during in vivo-like conditions.
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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.