Bio

Cédric Cannard is a neuroscientist and research innovator whose work integrates neuroscience, advanced biosignal analysis, software development, robust statistics, and consciousness research to advance neurotechnology for human flourishing and the exploration of mind and reality. He holds a Bachelor's degree in Sports Science, a Master's in Neuropsychology and Clinical Neuroscience, and a PhD in Neuroscience. As an undergraduate, he contributed to research on brain atrophy in schizophrenia (CEA, ISTCT, Caen) and on brain oscillations underlying visual perception and attention (CerCo, CNRS, Toulouse). During his PhD with Dr. Arnaud Delorme (2018–2021), he developed open-source tools for low- and high-density EEG analysis, collected and processed large-scale EEG datasets using wearable technologies (>500 participants), analyzed multimodal biosignals (EEG, ECG, PPG, GSR/EDA, EGG, voice), developed several EEGLAB plugins, and identified EEG and HRV correlates of well-being using low-cost hardware. At the Institute of Noetic Sciences (2021–2024), he investigated transformation, meditation, altered states of consciousness, predictive processes, and quantum wave-collapse experiments, and developed the BrainBeats software for studying brain-heart interactions. He then served as Director of Research at Evolve, a neurotechnology startup building transformational virtual reality-based biofeedback programs for nervous system regulation, cognitive training, and mental health disorders. Cédric is also a Research Fellow at the Institute of Noetic Sciences, reviewer for influential journals such as Scientific Reports, PLOS ONE, and Frontiers in Neuroscience, a member of the Global Consciousness Project, and serves as an advisor and consultant to several neurotechnology companies.

Research projects

Here you'll find summaries of some of Cédric's past research projects. His work covers a broad spectrum, including for example the development of open-source software for brain and heart signal analysis, investigating brain dynamics in altered states of consciousness, the innovative use of wearable neurotechnology for the study of well-being, quantifying gray matter atrophy in the hippocampus in schizophrenia, and classifying EEG signals with machine learning models, scoring human creativity data using AI, quantum wave collapse experiments, etc.

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