AUTHOR=Vassallo Juan S. , Sandred Örjan , Vincenot Julien TITLE=NeuralConstraints: integrating a neural generative model with constraint-based composition JOURNAL=Frontiers in Computer Science VOLUME=Volume 7 - 2025 YEAR=2025 URL=https://www.frontiersin.org/journals/computer-science/articles/10.3389/fcomp.2025.1543074 DOI=10.3389/fcomp.2025.1543074 ISSN=2624-9898 ABSTRACT=We present ‘NeuralConstraints,’ a suite of computer-assisted composition tools that integrates a feedforward neural network as a rule within a constraint-based composition framework. ‘NeuralConstraints’ combines the predictive generative abilities of neural networks trained on symbolic musical data with an advanced backtracking constraint algorithm. It provides a user-friendly interface for exploring symbolic neural generation, while offering a higher level of creative control compared to conventional neural generative processes, leveraged by the constraint solver. This article outlines the technical implementation of the core functionalities of ‘NeuralConstraints’ and illustrates their application through specific tests and examples of use.