Hi LLC

Gabriel Lerner

Bryan Johnson

Antonio H Lara

Ryan Field

Husam Katnani

Jamu Alford

Ethan Pratt

Julian Kates-Harbeck

Alejandro Ojeda

Viktoria Rojkova

Julien Dubois

An illustrative system includes an extended reality system and a brain interface system configured to be concurrently worn by a user. The extended reality system is configured to provide the user with an extended reality experience and output a timing signal while the extended reality experience is being provided to the user, the timing signal representing a plurality of timing events that occur during the extended reality experience. The brain interface system is configured to receive the timing signal from the extended reality system while the extended reality experience is being provided to the user, acquire brain activity measurements while the extended reality experience is being provided to the user, and output measurement timestamp data representative of a temporal association of the brain activity measurements with the timing events.

Synchronization between brain interface system and extended reality system

A system for training a neurome that emulates a brain of a user comprises a non-invasive brain interface assembly configured for detecting neural activity of the user in response to analog instances of a plurality of stimuli peripherally input into the brain of the user from at least one source of content, memory configured for storing a neurome configured for outputting a plurality of determined brain states of an avatar in response to inputs of the digital instances of the plurality of stimuli, and a neurome training processor configured for determining a plurality of brain states of the user based on the detected neural activity of the user, and modifying the neurome based on the plurality of determined brain states of the user and the plurality of determined brain states of the avatar.

Methods for training and using a neurome that emulates the brain of a user

An illustrative research support computing system maintains subject data representative of attributes for research subjects included in a potential subject pool for potential research studies. The system receives, from a client device, an input dataset representative of: 1) a set of parameters defining a research study to be conducted with respect to a research subject group, and 2) a set of criteria for research subjects that are to be included in the research subject group. The system designates a research subject included in the potential subject pool for inclusion in the research subject group based on the set of criteria, and receives research data detected for the research subject in accordance with the set of parameters. The system also provides an output dataset generated based on the research data detected for the research subject in accordance with the set of parameters. Corresponding methods and systems are also disclosed.

Methods and systems for initiating and conducting a customized computer-enabled brain research study

Systems and methods for training a neurome that emulates the brain of a user

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Los Angeles, CA, United States of America

Gabriel Lerner