Toward A Neuro-inspired Creative Decoder

Understand

Creativity, a process that generates novel and meaningful ideas, involves increased association between task-positive (control) and task-negative (default) networks in the human brain.

• Inspired by this seminal finding, in this study we propose a creative decoder within a deep generative framework, which involves direct modulation of the neuronal activation pattern after sampling from the learned latent space.
• The proposed approach is fully unsupervised and can be used off-the-shelf.
• Several novelty metrics and human evaluation were used to evaluate the creative capacity of the deep decoder.