Related Experiment Video
Updated: May 6, 2026

Multi-electrode Array Recordings of Neuronal Avalanches in Organotypic Cultures
Published on: August 1, 2011
Sub-threshold neuronal activity and the dynamical regime of cerebral cortex
Oren Amsalem1, Hidehiko Inagaki2, Jianing Yu3
1Division of Endocrinology, Diabetes and Metabolism, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Cortical neurons operate in a fluctuation-driven regime during decision-making. Incorporating dendritic morphology into models improved neuronal selectivity and reduced errors, suggesting a key role for dendrites.
Area of Science:
- Neuroscience
- Computational Neuroscience
Background:
- Cortical neurons display irregular spiking and varied firing rates.
- These patterns are linked to fluctuation-driven regimes in model circuits.
- The operation of the cortex in this regime remains debated.
Purpose of the Study:
- To test the fluctuation-driven hypothesis in the frontal cortex during decision-making.
- To investigate the role of neuronal morphology in cortical function.
Main Methods:
- Analysis of spiking and sub-threshold membrane potentials in mouse frontal cortex neurons.
- Evaluation of standard fluctuation-driven models.
- Incorporation of dendritic morphology into neuronal models.
Main Results:
- Standard models capture spiking statistics but not sub-threshold heterogeneity.
- Dendritic morphology inclusion enhanced neuronal selectivity.
- Dendritic morphology inclusion reduced error trials during decision-making.
Conclusions:
- Cortical neurons in higher-order areas operate in a fluctuation-driven regime during decision-making.
- Dendritic morphology plays a functional role in decision-making.
- Standard single-compartment models are insufficient to capture cortical dynamics.
More Related Videos
10:19Induction of an Isoelectric Brain State to Investigate the Impact of Endogenous Synaptic Activity on Neuronal Excitability In Vivo
Published on: March 31, 2016
06:18Author Spotlight: Deciphering Neural Circuit Formation from Two-Photon Microscopy and Single Neuron Imaging
Published on: November 21, 2023