ArticleProceedings of the IEEE. Institute of Electrical and Electronics Engineers2014
An Augmented Two-Layer Model Captures Nonlinear Analog Spatial Integration Effects in Pyramidal Neuron Dendrites.
Article in Proceedings of the IEEE. Institute of Electrical and Electronics Engineers, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
- Mild Focal Cooling Decouples Dendrites to Reconfigure Cortical Output.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Enhanced information processing in the human neocortex: cellular mechanisms and translational perspectives.Frontiers in synaptic neuroscience · 2026Review
- 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
- Mild focal cooling selectively impacts computations in dendritic trees.bioRxiv : the preprint server for biology · 2024Article
- Probing multiplexed basal dendritic computations using two-photon 3D holographic uncaging.Cell reports · 2024Article
- Cellular mechanisms of cooperative context-sensitive predictive inference.Current research in neurobiology · 2024Review
- An operating principle of the cerebral cortex, and a cellular mechanism for attentional trial-and-error pattern learning and useful classification extraction.Frontiers in neural circuits · 2024Article
- Asymmetric Voltage Attenuation in Dendrites Can Enable Hierarchical Heterosynaptic Plasticity.eNeuro · 2023Article
- Classical-Contextual Interactions in V1 May Rely on Dendritic Computations.Neuroscience · 2022Article
- A multilayer-multiplexer network processing scheme based on the dendritic integration in a single neuron.AIMS neuroscience · 2022Article
- Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments.Frontiers in neurorobotics · 2022Article
- Article
- Diverse processing underlying frequency integration in midbrain neurons of barn owls.PLoS computational biology · 2021Article
- Burst control: Synaptic conditions for burst generation in cortical layer 5 pyramidal neurons.PLoS computational biology · 2021Article
- Unique properties of dually innervated dendritic spines in pyramidal neurons of the somatosensory cortex uncovered by 3D correlative light and electron microscopy.PLoS biology · 2021Article
- 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
- The gradient clusteron: A model neuron that learns to solve classification tasks via dendritic nonlinearities, structural plasticity, and gradient descent.PLoS computational biology · 2021Article
- Local glutamate-mediated dendritic plateau potentials change the state of the cortical pyramidal neuron.Journal of neurophysiology · 2021Article
- Illuminating dendritic function with computational models.Nature reviews. Neuroscience · 2020Review
- Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
In pursuit of the goal to understand and eventually reproduce the diverse functions of the brain, a key challenge lies in reverse engineering the peculiar biology-based "technology" that underlies the brain's remarkable ability to process and store information. The basic building block of the nervous system is the nerve cell, or "neuron," yet after more than 100 years of neurophysiological study and 60 years of modeling, the information processing functions of individual neurons, and the parameters that allow them to engage in so many different types of computation (sensory, motor, mnemonic, executive, etc.) remain poorly understood. In this paper, we review both historical and recent findings that have led to our current understanding of the analog spatial processing capabilities of dendrites, the major input structures of neurons, with a focus on the principal cell type of the neocortex and hippocampus, the pyramidal neuron (PN). We encapsulate our current understanding of PN dendritic integration in an abstract layered model whose spatially sensitive branch-subunits compute multidimensional sigmoidal functions. Unlike the 1-D sigmoids found in conventional neural network models, multidimensional sigmoids allow the cell to implement a rich spectrum of nonlinear modulation effects directly within their dendritic trees.
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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.