Decodability, sensitivity, and criticality measured through single-neuron perturbations
Matthew Farrell, Taro Toyoizumi

TL;DR
The paper discusses how single-neuron spikes affect the surrounding brain network and reveal complex patterns of neural computation.
Contribution
The study introduces a novel approach to analyze neural computation through decodability, sensitivity, and criticality using single-neuron perturbations.
Findings
Single-neuron spikes influence the surrounding cortical network dynamics.
Local perturbations reveal multi-faceted signatures of critical neural computation.
Abstract
This comment highlights a new study by Ribeiro et al.1 which investigates how single-neuron spikes influence the surrounding cortical network in vivo. By comparing induced and background spikes through the lenses of decodability, sensitivity, and criticality, this work highlights how local perturbations interact with ongoing network dynamics to reveal multi-faceted signatures of critical neural computation.
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Taxonomy
TopicsNeural dynamics and brain function · stochastic dynamics and bifurcation · Advanced Memory and Neural Computing
