Hochreiter, Sepp and Schmidhuber, Ju¨rgen. Long short-term memory. Neural computation, 9(8): 1735-1780, 1997.
Messick, Paul. Maximum midi, 1988.
Mozer, Michael C. Neural network music composition by prediction: Exploring the benefits of psychoacoustic constraints and multi-scale processing. Connection Science, 6(2-3):247-280, 1994.
Riedmiller, Martin. Advanced supervised learning in multi-layer perceptronsfrom backpropagation to adaptive learning algorithms. Computer Standards & Interfaces, 16(3):265-278, 1994.
Riedmiller, Martin and Braun, Heinrich. A direct adaptive method for faster backpropagation learning: The rprop algorithm. In Neural Networks, 1993., IEEE International Conference on, pp. 586-591. IEEE, 1993.
Riedmiller, Martin and Rprop, I. Rprop - description and implementation details, 1994.
Robinson, AJ and Fallside, Frank. The utility driven dynamic error propagation network. University of Cambridge Department of Engineering, 1987.
Shepard, Roger N. Geometrical approximations to the structure of musical pitch. Psychological Review, 89(4):305, 1982. [OpenAIRE]
Smolensky, Paul. Information processing in dynamical systems: Foundations of harmony theory. 1986.
Sutskever, Ilya, Hinton, Geoffrey E, and Taylor, Graham W. The recurrent temporal restricted boltzmann machine. In Advances in Neural Information Processing Systems, pp. 1601-1608, 2009.
Todd, Peter M. A connectionist approach to algorithmic composition. Computer Music Journal, pp. 27-43, 1989.
Werbos, Paul J. Backpropagation through time: what it does and how to do it. Proceedings of the IEEE, 78(10):1550-1560, 1990. [OpenAIRE]