ArticleScientific reports2018
Dendritic processing of spontaneous neuronal sequences for single-trial learning.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Article
- SAM: A Unified Self-Adaptive Multicompartmental Spiking Neuron Model for Learning With Working Memory.Frontiers in neuroscience · 2022Article
- Nonlinear Dendritic Coincidence Detection for Supervised Learning.Frontiers in computational neuroscience · 2021Article
- Apical amplification-a cellular mechanism of conscious perception?Neuroscience of consciousness · 2021Article
- Neurons as Canonical Correlation Analyzers.Frontiers in computational neuroscience · 2020Article
- A Hippocampal Model for Behavioral Time Acquisition and Fast Bidirectional Replay of Spatio-Temporal Memory Sequences.Frontiers in neuroscience · 2018Article
- A Knowledge-Based Arrangement of Prototypical Neural Representation Prior to Experience Contributes to Selectivity in Upcoming Knowledge Acquisition.Frontiers in human neuroscience · 2018Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Spontaneous firing sequences are ubiquitous in cortical networks, but their roles in cellular and network-level computations remain unexplored. In the hippocampus, such sequences, conventionally called preplay, have been hypothesized to participate in learning and memory. Here, we present a computational model for encoding input sequence patterns into internal network states based on the propagation of preplay sequences in recurrent neuronal networks. The model instantiates two synaptic pathways in cortical neurons, one for proximal dendrite-somatic interactions to generate intrinsic preplay sequences and the other for distal dendritic processing of extrinsic signals. The core dendritic computation is the maximization of matching between patterned activities in the two compartments through nonlinear spike generation. The model performs robust single-trial learning with long-term stability and independence that are modulated by the plasticity of dendrite-targeted inhibition. Our results demonstrate that dendritic computation enables somatic spontaneous firing sequences to act as templates for rapid and stable memory formation.
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