Adaptive robustness through incoherent signaling mechanisms in a regenerative brain.

ABSTRACT: Animal behavior emerges from collective dynamics of neurons, making it vulnerable to damage. Paradoxically, many organisms exhibit a remarkable ability to maintain significant behavior even after large-scale neural injury. Molecular underpinnings of this extreme robustness remain largely unknown. Here, we develop a quantitative pipeline to measure long-lasting latent states in planarian flatworm behaviors during whole-brain regeneration. By combining >20,000 animal trials with neural network modeling, we show that long-range volumetric peptidergic signals allow the planarian to rapidly restore coarse behavior output after large perturbations to the nervous system, while slow restoration of small-molecule neuromodulator functions refines precision. This relies on the different time and leng

SUBMITTER: Bray SR 

PROVIDER: S-EPMC12435811 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature