| Autor: |
Bray SR; Department of Bioengineering, Stanford University, Stanford, CA, USA., Wyss LS; Department of Biology, Stanford University, Stanford, CA, USA., Chai C; Department of Bioengineering, Stanford University, Stanford, CA, USA., Lozada ME; Department of Bioengineering, Stanford University, Stanford, CA, USA.; Department of Biomedical Engineering, University of Miami, Coral Gables, FL, USA., Wang B; Department of Bioengineering, Stanford University, Stanford, CA, USA. |
| Abstrakt: |
Animal behavior emerges from collective dynamics of interconnected neurons, making it vulnerable to connectome damage. Paradoxically, many organisms maintain significant behavioral output after large-scale neural injury. Molecular underpinnings of this extreme robustness remain largely unknown. Here, we develop a quantitative behavioral analysis pipeline to measure previously uncharacterized long-lasting latent memory states in planarian flatworms during whole-brain regeneration. By combining >20,000 animal trials with neural population dynamic modeling, we show that long-range volumetric peptidergic signals allow the planarian to rapidly reestablish latent states and restore coarse behavior after large structural perturbations to the nervous system, while small-molecule neuromodulators gradually refine the precision. The different time and length scales of neuropeptide and small-molecule transmission generate incoherent patterns of neural activity which competitively regulate behavior and memory. Controlling behavior through opposing communication mechanisms creates a more robust system than either alone and may serve as a generic approach to construct robust neural networks. |
