Akili Interactive Labs, Inc.

Adam Piper

Matthew Omernick

Ashley Mateus

Jeffrey Bower

Scott C Kellogg

Titiimaea Alailima

Walter Edward Martucci

Paul Rand Pierce

Jason Johnson

Eric Elenko

Adam Gazzaley

W Edward Martucci

Elena Cañadas Espinosa

Isabella Slaby

David Collins

Jeffery Bower

Ketki Karanam

Elena Canadas Espinosa

A computer-implemented cognitive assessment tool is provided for assessing cognitive ability of an individual while multi-tasking. In one embodiment, a computer processing system on which the tool is implemented may receive form the individual first responses to a first task and second responses to a second task, where the first task and the second task are presented to the individual simultaneously. The system may determine that the first task and the second task are performed by the individual based on the first responses and the second responses, and compute a cognitive measure using one or both of the first responses and the second responses. Further, computing the cognitive measure may be based on performance measures of one or both of the first responses and the second responses. Based on the cognitive measure, the system may output a cognitive assessment to the individual.

Processor implemented systems and methods for measuring cognitive abilities

Apparatus, systems, and methods are provided for generating a quantified indicator of cognitive skills in an individual. In certain configurations, the apparatus, systems, and methods can be implemented for enhancing cognitive skills in an individual.

Cognitive platform including computerized elements

A system and method for algorithmically modifying, in real-time, one or more graphical user elements of an end user application for a SaMD or DHI product/platform. The method may enable real-time modification of a graphical user interface in response to determining that one or more user-generated responses in response to one or more CSIs are reflective of a targeted stimulus-response pattern. The targeted stimulus-response pattern may reflect a threshold of active therapeutic delivery for the SaMD or DHI to the end user. The method of algorithmically modifying the one or more graphical user elements may include rendering new elements or modifying existing elements, including changing the color of existing elements, for only the time period when the user-generated responses are reflective of the targeted stimulus-response pattern and/or for a pre-determined period of time before and/or after the user-generated responses are reflective of the targeted stimulus-response pattern.

Systems and method for algorithmic rendering of graphical user interface elements

Example systems, methods, and apparatus, including cognitive platforms, are provided for computing performance metrics of an individual based at least in part on user interaction(s) with computerized tasks and/or interference and at least one physiological measure of the individual, where the performance metric provides an indication of the cognitive abilities of the individual. The apparatus can be coupled to at least one physiological component to perform the physiological measurement of the individual. The apparatus also can be configured to adapt the tasks and/or interferences to enhance the individual's cognitive abilities.

Cognitive platform coupled with a physiological component

Example systems, methods, and apparatus, including cognitive platforms, are provided for applying signal detection metrics in computer-implemented adaptive response-deadline procedures to data collected based at least in part on user interaction(s) with computerized tasks and/or interferences. The apparatus can include a response classifier for generating a quantifier of the cognitive abilities of an individual. The apparatus also can be configured to adapt the tasks and/or interferences to enhance the individual's cognitive abilities.

Platforms to implement signal detection metrics in adaptive response-deadline procedures

Display screen or portion thereof with an animated graphical user interface

Systems and methods are provided for the implementation of personalized cognitive training. As an example, a processor-implemented method is provided for enhancing cognitive abilities of a user by personalizing cognitive training regimens through difficulty progression. The method includes: performing a cognitive assessment of a user using a set of assessment tasks; estimating a maximal performance of the user related to the set of assessment tasks; determining a performance range based at least in part on the maximal performance of the user; dividing the performance range into a plurality of progress gates, the plurality of progress gates corresponding to a plurality of task difficulty levels; selecting a first progress gate within the performance range; generating a first set of training tasks associated with the first progress gate; and collecting the user's first training responses to the first set of training tasks.

Processor-implemented systems and methods for enhancing cognitive abilities by personalizing cognitive training regimens

Display screen or portion thereof with animated graphical user interface

Growing community of inventors

Sebastopol, CA, United States of America

Adam Piper