- Patent Title: Neural functional localization using synaptic connectivity graphs
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Application No.: US16829107Application Date: 2020-03-25
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Publication No.: US11636349B2Publication Date: 2023-04-25
- Inventor: Sarah Ann Laszlo , Matthew Sibigtroth , Bin Ni
- 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: G06N3/10
- IPC: G06N3/10 ; G06N3/04 ; G06N3/08

Abstract:
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying one or more regions of a brain of a biological organism that are predicted to be functionally-specialized for performing a task. In one aspect, a method comprises: obtaining data defining a synaptic connectivity graph representing synaptic connectivity between neurons in the brain of the biological organism; identifying a plurality of sub-graphs of the synaptic connectivity graph; determining, for each sub-graph of the plurality of sub-graphs, a performance measure characterizing a performance of a neural network having a neural network architecture that is specified by the sub-graph in accomplishing the task; and determining, based on the performance measures, that one or more sub-graphs of the plurality of sub-graphs correspond to regions of the brain of the biological organism that are predicted to be functionally-specialized for performing the task.
Public/Granted literature
- US20210304011A1 NEURAL FUNCTIONAL LOCALIZATION USING SYNAPTIC CONNECTIVITY GRAPHS Public/Granted day:2021-09-30
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