Integrative neurocybernetic modeling in the era of large-scale neuroscience
Large-scale neuroscience is generating rich datasets across animals, brain areas and behavioral contexts, yet our modeling efforts remains fragmented across isolated experiments. We argue that understanding behavior requires integrative neurocybernetic models: understandable dynamical models that capture the closed-loop coupling of brain, body and environment, treat the brain as a controller pursuing latent objectives, represent structured variation across scales, and scale to heterogeneous datasets. Such models shift the goal from predicting neural recordings in isolation to inferring the organizing principles that govern neural and behavioral dynamics. We outline a practical route towar...
| Authors | Il Memming Park, Ayesha Vermani, Gonzalo G. de Polavieja et al. |
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| Primary category | q-bio.NC |
| Published | 26 April 2026 |
| Last updated at source | 26 April 2026 |
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