Arthur W. Juliani, PhD

Research Scientist

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I am currently a research scientist at the Institute for Advanced Consciousness Studies. My interests reside at the intersection of psychology, neuroscience, machine learning, and philosophy.

My graduate research at University of Oregon focused on human navigation and computational models of the brain systems which support it. In that work, I used a combination of behavioral experiments and novel computational modeling to develop a deep learning inspired model of the hippocampal place cell system.

While at Unity Technologies, I was one of the founding developers of the Unity ML Agents toolkit. I also lead a project to develop and host the Obstacle Tower Challenge, a reinforcement learning competition in which hundreds of researchers benchmarked their algorithms.

During my time at Araya Inc I led a pair of projects studying the potential for current deep learning architectures to capture the functional properties of current leading models of consciousness. This included a proposal that the Transformer architecture can be understood as functional Global Neuronal Workspace.

At Microsoft Research I focused on using the theoretical framework of deep reinforcement learning to model both healthy and pathological representation learning, belief formation, and decision making in humans. The goal of this line of research was to better understanding mental health disorders and their potential treatment through novel modalities such as psychedelic-assisted therapy, meditation, and neurofeedback.

Download my curriculum vitae

latest posts

selected publications

2024

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    Deep CANALs: A Deep Learning Approach to Refining the Canalization Theory of Psychopathology
    Arthur Juliani, Adam Safron, and Ryota Kanai
    Neuroscience of Consciousness, 2024
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    A dual-receptor model of serotonergic psychedelics: therapeutic insights from simulated cortical dynamics
    Arthur Juliani, Veronica Chelu, Laura Graesser, and 1 more author
    bioRxiv, 2024

2022

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2019

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    Obstacle tower: A generalization challenge in vision, control, and planning
    Arthur Juliani, Ahmed Khalifa, Vincent-Pierre Berges, and 6 more authors
    arXiv preprint arXiv:1902.01378, 2019

2018

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    Unity: A general platform for intelligent agents
    Arthur Juliani, Vincent-Pierre Berges, Ervin Teng, and 8 more authors
    arXiv preprint arXiv:1809.02627, 2018

2016

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    Navigation performance in virtual environments varies with fractal dimension of landscape
    Arthur W Juliani, Alexander J Bies, Cooper R Boydston, and 2 more authors
    Journal of environmental psychology, 2016