Computation-through-Dynamics Toolkit: Simulated datasets and quality metrics for dynamical models of neural activity.

CtDToolkit provides synthetic datasets and metrics that reflect neural computation, enabling more accurate modeling of neural dynamics in systems neuroscience.

• Why it matters: Understanding how neural ensembles transform inputs into behavior requires models that accurately infer neural dynamics, but existing datasets lack key features and validation metrics are absent.
• What they did: The toolkit offers 1) biologically relevant synthetic datasets, 2) interpretable metrics for model performance, and 3) a standardized pipeline for training and evaluation of neural dynamics models.
• The result: This framework helps guide development and troubleshooting of neural models, advancing the understanding of neural computation through dynamics analysis.