公开(公告)号：US20210201119A1

公开(公告)日：2021-07-01

申请号：US16731396

申请日：2019-12-31

Applicant: X Development LLC

Inventor： Sarah Ann Laszlo ,  Philip Edwin Watson

IPC: G06N3/063 ,  G06N3/04

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating an artificial neural network architecture based on a synaptic connectivity graph. According to one aspect, there is provided a method comprising: obtaining a synaptic resolution image of at least a portion of a brain of a biological organism; processing the image to identify: (i) a plurality of neurons in the brain, and (ii) a plurality of synaptic connections between pairs of neurons in the brain; generating data defining a graph representing synaptic connectivity between the neurons in the brain; determining an artificial neural network architecture corresponding to the graph representing the synaptic connectivity between the neurons in the brain; and processing a network input using an artificial neural network having the artificial neural network architecture to generate a network output.

公开(公告)号：US20210201115A1

公开(公告)日：2021-07-01

申请号：US16776574

申请日：2020-01-30

Applicant: X Development LLC

Inventor： Sarah Ann Laszlo ,  Philip Edwin Watson ,  Georgios Evangelopoulos

IPC: G06N3/04 ,  G06T7/00 ,  G06N3/08

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for implementing a reservoir computing neural network. In one aspect there is provided a reservoir computing neural network comprising: (i) a brain emulation sub-network, and (ii) a prediction sub-network. The brain emulation sub-network is configured to process the network input in accordance with values of a plurality of brain emulation sub-network parameters to generate an alternative representation of the network input. The prediction sub-network is configured to process the alternative representation of the network input in accordance with values of a plurality of prediction sub-network parameters to generate the network output. The values of the brain emulation sub-network parameters are determined before the reservoir computing neural network is trained and are not adjusting during training of the reservoir computing neural network.

公开(公告)号：US11009952B2

公开(公告)日：2021-05-18

申请号：US16832645

申请日：2020-03-27

Applicant: X Development LLC

Inventor： Sarah Ann Laszlo ,  Gabriella Levine ,  Joseph Hollis Sargent ,  Phillip Yee

IPC: G06F3/0482 ,  G06F3/01 ,  A61B5/00 ,  A61B5/38 ,  A61B5/291 ,  A61B5/316 ,  A61B5/375 ,  A61B5/378

Abstract: A method for analyzing electroencephalogram (EEG) signals is disclosed. Information associated with two or more options is presented to a user. EEG signals from a sensor coupled to the user are received contemporaneously to the user receiving information associated with the two or more options. The EEG signals are processed in real time to determine which one of the options was selected by the user. In response to determining which one of the options was selected by the user, an action from one or more possible actions associated with the information presented to the user is selected. An output associated with the selected action is then generated.

公开(公告)号：US20190192024A1

公开(公告)日：2019-06-27

申请号：US16126951

申请日：2018-09-10

Applicant: X Development LLC

Inventor： Philip Edwin Watson ,  Sarah Ann Laszlo ,  Brian John Adolf

IPC: A61B5/04 ,  A61B5/00 ,  A61B5/0478

CPC classification number: G06F3/015 ,  A61B5/0006 ,  A61B5/04004 ,  A61B5/04012 ,  A61B5/0478 ,  A61B5/6814 ,  A61B5/7203 ,  A61B5/7225 ,  A61B5/7264 ,  G01N27/02 ,  G01N33/4836 ,  G06N20/00

Abstract: A method for generating an EEG signal is disclosed. Multiple signals from multiple electrodes applied to a user's scalp are measured. The signals correspond to electrical activity generated by the user's brain. Each of the signals is evaluated using a machine learning algorithm in real-time to determine a quality of each of the signals. One or more switches is activated between the electrodes to electrically-connect a plurality of the electrodes. An EEG signal is measured using the parallel-connected electrodes.

公开(公告)号：USD852366S1

公开(公告)日：2019-06-25

申请号：US29619309

申请日：2017-09-28

Applicant: X Development LLC

Designer： Joseph Hollis Sargent ,  Sarah Ann Laszlo ,  Brian John Adolf

公开(公告)号：US20230206059A1

公开(公告)日：2023-06-29

申请号：US17564536

申请日：2021-12-29

Applicant: X Development LLC

Inventor： Sarah Ann Laszlo ,  Lam Thanh Nguyen ,  Baihan Lin

IPC: G06N3/08 ,  G06N3/063

CPC classification number: G06N3/08 ,  G06N3/063

Abstract: In one aspect, there is provided a method performed by one or more data processing apparatus for training a neural network, the method including: obtaining a set of training examples, where each training example includes: (i) a training input, and (ii) a target output, and training the neural network on the set of training examples. Training the neural network can include, for each training example: processing the training input using the neural network to generate a corresponding training output, updating current values of at least a set of encoder sub-network parameters and a set of decoder sub-network parameters by a supervised update, and updating current values of at least a set of brain emulation sub-network parameters by an unsupervised update based on correlations between activation values generated by artificial neurons of the neural network during processing of the training input by the neural network.

公开(公告)号：US20230196059A1

公开(公告)日：2023-06-22

申请号：US17557618

申请日：2021-12-21

Applicant: X Development LLC

Inventor： Sarah Ann Laszlo ,  Lam Thanh Nguyen ,  Baihan Lin ,  Julia Renee Watson ,  Garrett Raymond Honke

IPC: G06N3/00

CPC classification number: G06N3/008

Abstract: In one aspect, there is provided a method performed by one or more data processing apparatus, the method includes: obtaining a network input including a respective data element at each input position in a sequence of input positions, and processing the network input using a neural network to generate a network output that defines a prediction related to the network input, where the neural network includes a sequence of encoder blocks and a decoder block, where each encoder block has a respective set of encoder block parameters, and where the set of encoder block parameters includes multiple brain emulation parameters that, when initialized, represent biological connectivity between multiple biological neuronal elements in a brain of a biological organism.

公开(公告)号：US20230186059A1

公开(公告)日：2023-06-15

申请号：US17547107

申请日：2021-12-09

Applicant: X Development LLC

Inventor： Sarah Ann Laszlo ,  Estefany Kelly Buchanan ,  Baihan Lin

IPC: G06N3/06 ,  G06N3/04

CPC classification number: G06N3/061 ,  G06N3/0472

Abstract: In one aspect, there is provided a method performed by one or more data processing apparatus that includes obtaining a network input and processing the network input using a neural network to generate a network output that defines a prediction for the network input. The method further includes processing the network input using an encoding sub-network of the neural network to generate an embedding of the network input, processing the embedding of the network input using a brain hybridization sub-network of the neural network to generate an alternative embedding of the network input, and processing the alternative embedding of the network input using a decoding sub-network of the neural network to generate the network output that defines the prediction for the network input.

公开(公告)号：US11576601B2

公开(公告)日：2023-02-14

申请号：US16388709

申请日：2019-04-18

Applicant: X Development LLC

Inventor： Sarah Ann Laszlo ,  Nina Thigpen ,  Vladimir Miskovic ,  Yvonne Yip

IPC: A61B5/00 ,  A61B5/374 ,  A61B5/291 ,  G06N3/08 ,  A61B5/316 ,  G06N20/00

Abstract: Methods, systems, and computer programs encoded on a computer storage medium, for improving EEG measurements by identifying artifacts present in EEG measurements and providing a real-time indication to a user of likely artifacts in EEG measurements are described. EEG measurements of a patient can be obtained by placing a wearable device or EEG cap on a patient's head. Sensors in the cap provide EEG data to a computing device that processes the data to identify one or more artifacts in the EEG data. The artifacts can be identified by conducting one or more operations of determining the signal to noise ratio of the line noise, calculating mutual information between sensor pairs, and applying the p-welch method. Based on the types of artifacts identified, the computing device can output an indicator that provides feedback to the technician performing an EEG test to make adjustments to the test setup.

公开(公告)号：US20220414419A1

公开(公告)日：2022-12-29

申请号：US17362446

申请日：2021-06-29

Applicant: X Development LLC

Inventor： Sarah Ann Laszlo ,  David Andre ,  Rednar Rosique Rodriquez

IPC: G06N3/00 ,  G06N3/08 ,  G06N3/04

Abstract: In one aspect, there is provided a method performed by one or more data processing apparatus for selecting actions to be performed by an agent interacting with an environment, the method including, at each of multiple time steps, receiving an observation characterizing a current state of the environment at the time step, providing an input including the observation to an action selection neural network having a brain emulation sub-network with an architecture that is based on synaptic connectivity between biological neurons in a brain of a biological organism, processing the input including the observation characterizing the current state of the environment at the time step using the action selection neural network having the brain emulation sub-network to generate an action selection output, and selecting an action to be performed by the agent at the time step based on the action selection output.