Hi LLC

Antonio H Lara

Husam Katnani

Bryan Johnson

Ryan Field

Gabriel Lerner

Julian Kates-Harbeck

Jamu Alford

Daniel Sobek

Ethan Pratt

John William Stanton

Kristopher Anderson

Randal Koene

Christian T Wentz

Isai Olvera

Michael Henninger

Katherine Perdue

Hamid Dehghani

Alejandro Ojeda

Viktoria Rojkova

Brian S Robinson

Erik J Peterson

Victoria A Poissant

Julien Dubois

Roman Sandler

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 mental impairment detection system and non-invasive method of detecting mental impairment of a user are provided. A test (e.g., an inhibitory reflex test or a sustained attention test) is administered to the user, brain activity in a frontal lobe of the user is non-invasively detected while the test is administered to the user, and a level of mental impairment of the user is determined based on the brain activity detected in the frontal lobe of the user.

Non-invasive systems and methods for detecting mental impairment

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

An illustrative optical measurement device includes a light source configured to emit light pulses directed at a target. The optical measurement device further includes a detector configured to detect arrival times for photons of the light pulses after the photons are scattered by the target. The optical measurement device further includes a processing unit configured to generate, based on the arrival times of the photons at the detector, histogram data associated with the target. The processing unit is further configured to determine, based on the histogram data, an absolute optical property associated with the target. The processing unit is further configured to determine, based on the absolute optical property, a blood oxygenation level of the user, and perform an operation based on the blood oxygenation level.

Devices, systems, and methods using wearable time domain-based activity tracker

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

Brain activity of a user is detected, and a mental state of the user is determined. In one technique, life/work context is automatically presented to the user in a manner that modulates the mental state of the user. In another technique, an entertainment selection is presented to the user, and an entertainment selection list is automatically modified in response to the determined mental state of the user. In still another technique, the mental state that is determined is a negative emotional state, and life/work context is automatically presented to the user in a manner that promotes a cognitive state of the user in response to the determined emotional state of the user. In yet another technique, the wellness of the user is automatically tracked over a time period based on the determined mental state.

Modulation of mental state of a user using a non-invasive brain interface system and method

Described herein are systems and methods for reducing the size of data payloads delivered to downstream processing from a raw series of biological sensor recordings. In one variation, the system comprises a low-power hardware architecture that combines serially sampled neural signal data with a transformation matrix (TFM) using a novel systolic random-logic-macro (RLM) array.

Systems and methods to reduce data and complexity in neural signal processing chain

Devices, systems, and methods herein relate to processing biosignal data. These systems and methods may obtain sensor data from a plurality of electrodes and may also be used to augment cortical function, treat neurological disease, and provide insight and analysis of biological processes and/or clinical therapeutic outcomes. An implantable biosignal processing system may comprise a lead having at least one biosignal sensor configured to transmit biosignal data based on electrophysiological activity of a subject. A first processing system may be coupled to the biosignal sensor and comprise a plurality of analog signal processing circuits configured to be selectively powered based on a selectable treatment mode. A second processing system in communication with the first processing system and may comprise a plurality of digital signal processing circuits configured to be selectively powered based on the treatment mode. A neurostimulator may stimulate tissue according to the set of biosignal characteristics.

Reconfigurable biosignal processing architecture

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Sherman Oaks, CA, United States of America

Antonio H Lara