How Adversarial REM Dreams May Facilitate Creativity, and Why We Become Aware of Them
Nicolas Deperrois, Mihai A. Petrovici, Jakob Jordan, Lukas S. Huber, Walter Senn
Clinical and Translational Neuroscience June 26, 2024 DOI: 10.3390/ctn8020021 (opens in new tab) via DOAJ
Summary
AI-generated from the abstractRapid-eye-movement (REM) dreams may function like an adversarial process—similar to generative adversarial networks in artificial intelligence—in which internally generated sensory activity is classified as real by a discriminator network. This adversarial dreaming helps build real-world semantic representations in higher cortical areas, supports learning, balances fantastic and realistic dream elements, and may spark creative insights. Non-REM (NREM) dreams, by contrast, replay single hippocampal memories, improving the robustness of cortical representations to environmental perturbations. The framework also explains differences in awareness of REM versus NREM dreams and how content- and state-awareness arise in wake, dream, and lucid dreaming states.
Study at a glance
| Characteristics | Theoretical or philosophical paper Peer reviewed |
|---|---|
| Topics | Dreaming |
| Keywords | Sleep model Generative adversarial networks Creativity Memory consolidation |
| Key finding | Proposes that REM dreams involve an adversarial process that trains a discriminator network to classify internally generated sensory activity as real, facilitating the emergence of real-world semantic representations in higher cortical areas and contributing to learning and creativity. |
Abstract
The importance of sleep for healthy brain function is widely acknowledged. However, it remains unclear how the internal generation of dreams might facilitate cognitive processes. In this perspective, we review a computational approach inspired by artificial intelligence that proposes a framework for how dreams occurring during rapid-eye-movement (REM) sleep can contribute to learning and creativity. In this framework, REM dreams are characterized by an adversarial process that, against the dream reality, tells a discriminator network to classify the internally created sensory activity as real. Such an adversarial dreaming process is shown to facilitate the emergence of real-world semantic representations in higher cortical areas. We further discuss the potential contributions of adversarial dreaming beyond learning, such as balancing fantastic and realistic dream elements and facilitating the occurrence of creative insights. We characterize non-REM (NREM) dreams, where a single hippocampal memory is replayed at a time, as serving the complementary role of improving the robustness of cortical representations to environmental perturbations. We finally explain how subjects can become aware of the adversarial REM dreams, but less of the NREM dreams, and how content- and state-awareness in wake, dream, and lucid dreaming may appear.