5 papers in the library · publishing 2023-2026
2026 Ali Saberi, Paul Zerr, Stefan Zwerver et al. preprint
This study aims to evaluate the effectiveness of a targeted lucidity reactivation protocol to induce lucid dreaming in a home setting, with a large sample size, and over an extended period, using an automated sleep experiment system and a wearable EEG device.
bioRxiv June 27, 2024 Claudia Picard-Deland, Mahdad Jafarzadeh Esfahani, Leila Anna Christina Salvesen et al. preprint
Lucid dreaming occurs when one is aware of dreaming while asleep. While lucid dreaming can occur spontaneously, it remains rare. This multi-center study (Netherlands, Italy, Canada) tested a combined induction approach integrating senses-initiated lucid dreaming (SSILD) with targeted lucidity reactivation in a large sample of participants with varying lucid dreaming experience. Sixty...
Neuron April 3, 2024 Paul Zerr, Nico Adelhöfer, Martin Dresler
Lucid dreaming allows conscious awareness and control of vivid dream states; however, its rarity and instability make neuroscientific experimentation challenging. Recent advances in wearable neurotechnology, large-scale collaborations, citizen neuroscience, and artificial intelligence increasingly facilitate the decoding of this intriguing phenomenon.
SoftwareX December 1, 2023 Mahdad Jafarzadeh Esfahani, Amir Hossein Daraie, Paul Zerr et al.
We introduce Dreamento (Dream engineering toolbox), an open-source Python package for dream engineering using sleep electroencephalography (EEG) wearables. Dreamento main functions are (1) recording, real-time monitoring, analysis, and sensory stimulation, and (2) offline post-processing of the resulting data, both in a graphical user interface. In real-time, Dreamento is capable of (1) data...
Paul Zerr, Nico Adelhöfer, Martin Dresler preprint
Lucid dreaming allows conscious awareness and control of vivid dream states, however its rarity and instability make neuroscientific experimentation challenging. Recent advances in wearable neurotechnology, large-scale collaborations, citizen neuroscience and artificial intelligence increasingly facilitate the decoding of this intriguing phenomenon.