ArticleFrontiers in computational neuroscience2011
Distinguishing Linear vs. Non-Linear Integration in CA1 Radial Oblique Dendrites: It's about Time.
Article in Frontiers in computational neuroscience, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Multiplexed encoding of frequency-modulated sweep features in the inferior colliculus.Journal of neurophysiology · 2026Article
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- A 4096 channel event-based multielectrode array with asynchronous outputs compatible with neuromorphic processors.Nature communications · 2024Article
- Lateral entorhinal cortex inputs modulate hippocampal dendritic excitability by recruiting a local disinhibitory microcircuit.Cell reports · 2023Article
- The dendritic engram.Frontiers in behavioral neuroscience · 2023Article
- The computational power of the human brain.Frontiers in cellular neuroscience · 2023Review
- Assessing Local and Branch-specific Activity in Dendrites.Neuroscience · 2022Article
- A multilayer-multiplexer network processing scheme based on the dendritic integration in a single neuron.AIMS neuroscience · 2022Article
- HippoUnit: A software tool for the automated testing and systematic comparison of detailed models of hippocampal neurons based on electrophysiological data.PLoS computational biology · 2021Article
- Illuminating dendritic function with computational models.Nature reviews. Neuroscience · 2020Review
- A Spike-Based Neuromorphic Architecture of Stereo Vision.Frontiers in neurorobotics · 2020Article
- Synaptic Clustering and Memory Formation.Frontiers in molecular neuroscience · 2019Review
- Synaptic clustering within dendrites: an emerging theory of memory formation.Progress in neurobiology · 2015Review
- A simple transfer function for nonlinear dendritic integration.Frontiers in computational neuroscience · 2015Article
- Contribution of sublinear and supralinear dendritic integration to neuronal computations.Frontiers in cellular neuroscience · 2015Review
- Glutamate-bound NMDARs arising from in vivo-like network activity extend spatio-temporal integration in a L5 cortical pyramidal cell model.PLoS computational biology · 2014Article
- Input transformation by dendritic spines of pyramidal neurons.Frontiers in neuroanatomy · 2014Review
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3 authors.
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Abstract
It was recently shown that multiple excitatory inputs to CA1 pyramidal neuron dendrites must be activated nearly simultaneously to generate local dendritic spikes and supralinear responses at the soma; even slight input desynchronization prevented local spike initiation (Gasparini and Magee, 2006; Losonczy and Magee, 2006). This led to the conjecture that CA1 pyramidal neurons may only express their non-linear integrative capabilities during the highly synchronized sharp waves and ripples that occur during slow wave sleep and resting/consummatory behavior, whereas during active exploration and REM sleep (theta rhythm), inadequate synchronization of excitation would lead CA1 pyramidal cells to function as essentially linear devices. Using a detailed single neuron model, we replicated the experimentally observed synchronization effect for brief inputs mimicking single synaptic release events. When synapses were driven instead by double pulses, more representative of the bursty inputs that occur in vivo, we found that the tolerance for input desynchronization was increased by more than an order of magnitude. The effect depended mainly on paired-pulse facilitation of NMDA receptor-mediated responses at Schaffer collateral synapses. Our results suggest that CA1 pyramidal cells could function as non-linear integrative units in all major hippocampal states.
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