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The role of ongoing dendritic oscillations in single-neuron dynamics
Michiel W H Remme1, Máté Lengyel, Boris S Gutkin
1Group for Neural Theory, Département d'Etudes Cognitives, Ecole Normale Supérieure, Paris, France. michiel.remme@nyu.edu
Plos Computational Biology
|September 5, 2009
Summary
Dendritic oscillations enable neurons to integrate inputs over longer timescales, moving beyond traditional localized computations. This dendritic coherence influences neuronal output, impacting how neurons generate electrical signals.
Area of Science:
- Computational Neuroscience
- Neurobiology
- Mathematical Biology
Background:
- Neuronal computations traditionally viewed as temporally and spatially localized.
- Dendritic integration of synaptic inputs shapes neuronal output.
- Emerging evidence suggests dendritic oscillations operate differently.
Purpose of the Study:
- To develop a mathematical framework for analyzing dendritic oscillations and their impact on neuronal computation.
- To investigate how dendritic oscillations interact and influence single-cell computations.
- To understand the role of dendritic coherence in synaptic signal integration and spike generation.
Main Methods:
- Utilized weakly coupled oscillator methods combined with cable theory.
- Derived phase-locking states for multiple oscillating dendritic compartments.
- Analyzed the dependence of phase-locking on dendritic electrotonic and intrinsic oscillator properties.
Main Results:
- Characterized phase-locking properties of dendritic oscillators.
- Demonstrated how synaptic input modulates dendritic coherence via phase-locking.
- Showed that dendritic coherence gates synaptic signal integration and somatic spike generation.
Conclusions:
- Dendritic oscillations allow computations on larger temporal and spatial scales than previously assumed.
- Local dendritic activity can generate ongoing whole-cell voltage oscillations.
- Dendritic coherence provides a mechanism for controlling neuronal output.
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