Cobrawap as a tool for inspecting and explaining learning performance of bio-inspired artificial neural networks

Cobrawap (Collaborative Brain Wave Analysis Pipeline) intercepts the increasing demand expressed by the Neuroscience community for reusability and reproducibility, offering a software framework suitable for collecting generalized implementations of established methods and algorithms, and for embracing innovative procedures. Already successfully applied on heterogenous recordings of murine cortical activity and on data-driven simulations, the robustness provided by modular processing allows for extending the application scope to a variety of theoretical models implemented through heterogeneous simulation engines, also including the outcomes of artificial neural networks; this makes it eligible for addressing the explainability of AI solutions in bio-inspired systems that incorporate the emulation of brain states as a key element for the implementation of efficient incremental learning and cognition.