Invention Grant
- Patent Title: Artificial neural network architectures based on synaptic connectivity graphs
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Application No.: US16731396Application Date: 2019-12-31
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Publication No.: US11593627B2Publication Date: 2023-02-28
- Inventor: Sarah Ann Laszlo , Philip Edwin Watson
- Applicant: X Development LLC
- Applicant Address: US CA Mountain View
- Assignee: X Development LLC
- Current Assignee: X Development LLC
- Current Assignee Address: US CA Mountain View
- Agency: Fish & Richardson P.C.
- Main IPC: G06N3/063
- 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.
Public/Granted literature
- US20210201119A1 ARTIFICIAL NEURAL NETWORK ARCHITECTURES BASED ON SYNAPTIC CONNECTIVITY GRAPHS Public/Granted day:2021-07-01
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