The Spectrum of Asynchronous Dynamics in Spiking Networks as a Model for the Diversity of Non-rhythmic Waking States in the Neocortex
Abstract
The awake cortex exhibits diverse non-rhythmic network states. However, how these states emerge and how each state impacts network function is unclear. Here, we demonstrate that model networks of spiking neurons with moderate recurrent interactions display a spectrum of non-rhythmic asynchronous dynamics based on the level of afferent excitation, from afferent input-dominated (AD) regimes, characterized by unbalanced synaptic currents and sparse firing, to recurrent input-dominated (RD) regimes, characterized by balanced synaptic currents and dense firing. The model predicted regime-specific relationships between different neural biophysical properties, which were all experimentally validated in the somatosensory cortex (S1) of awake mice. Moreover, AD regimes more precisely encoded spatiotemporal patterns of presynaptic activity, while RD regimes better encoded the strength of afferent inputs. These results provide a theoretical foundation for how recurrent neocortical circuits generate non-rhythmic waking states and how these different states modulate the processing of incoming information.
Related
- Precise Development of Functional and Anatomical Columns in the Neocortex
- Lyapunov spectrum of random neural networks
- AI-like parallelogram geometry of word relations in the human neocortex
- Reduced causal connectivity in multiple resting-state networks in autism spectrum disorder detected by convergent cross mapping
- Rapid spatial cognition in mice, with and without neocortex and hippocampus
BibTeX
@article{zerlaut2026spectrum,
title = {{The Spectrum of Asynchronous Dynamics in Spiking Networks as a Model for the Diversity of Non-rhythmic Waking States in the Neocortex}},
author = {Yann Zerlaut and Stefano Zucca and Stefano Panzeri and Tommaso Fellin},
journal = {Cell Reports},
year = {2026},
month = oct,
doi = {10.1016/j.celrep.2019.03.102},
url = {https://hal.science/hal-05775389v1},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - The Spectrum of Asynchronous Dynamics in Spiking Networks as a Model for the Diversity of Non-rhythmic Waking States in the Neocortex
AU - Yann Zerlaut
AU - Stefano Zucca
AU - Stefano Panzeri
AU - Tommaso Fellin
PY - 2026
DA - 2026/10/02
JO - Cell Reports
DO - 10.1016/j.celrep.2019.03.102
UR - https://hal.science/hal-05775389v1
AB - The awake cortex exhibits diverse non-rhythmic network states. However, how these states emerge and how each state impacts network function is unclear. Here, we demonstrate that model networks of spiking neurons with moderate recurrent interactions display a spectrum of non-rhythmic asynchronous dynamics based on the level of afferent excitation, from afferent input-dominated (AD) regimes, characterized by unbalanced synaptic currents and sparse firing, to recurrent input-dominated (RD) regimes, characterized by balanced synaptic currents and dense firing. The model predicted regime-specific relationships between different neural biophysical properties, which were all experimentally validated in the somatosensory cortex (S1) of awake mice. Moreover, AD regimes more precisely encoded spatiotemporal patterns of presynaptic activity, while RD regimes better encoded the strength of afferent inputs. These results provide a theoretical foundation for how recurrent neocortical circuits generate non-rhythmic waking states and how these different states modulate the processing of incoming information.
SN - 2211-1247
SN - 2211-1247
ER -