Neural functional localization using synaptic connectivity graphs

A system comprising:

• one or more computers;
• and
• one or more storage devices communicatively coupled to the one or more computers, wherein the one or more storage devices store instructions that, when executed by the one or more computers, cause the one or more computers to perform operations for identifying one or more regions of a brain of a biological organism that are predicted to be functionally-specialized for performing a task, the operations comprising:
• obtaining data defining a synaptic connectivity graph representing synaptic connectivity between neurons in the brain of the biological organism, wherein the synaptic connectivity graph is generated by processing a three-dimensional (3D) synaptic resolution image of 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 of the synaptic connectivity graph, a performance measure characterizing a performance of a neural network having a neural network architecture that is specified by the sub-graph of the synaptic connectivity graph in accomplishing the task, comprising, for each of the plurality of sub-graphs of the synaptic connectivity graph:
• processing the sub-graph of the synaptic connectivity graph to generate a neural network having a neural network architecture that is specified by the sub-graph of the synaptic connectivity graph;
• training the neural network having the neural network architecture that is specified by the sub-graph of the synaptic connectivity graph to accomplish the task;
• and
• after the training, evaluating a performance measure of the neural network having the neural network architecture that is specified by the sub-graph of the synaptic connectivity graph in accomplishing the task;
• and
• determining, based on the performance measures of neural networks having neural network architectures specified by the sub-graphs of the synaptic connectivity graph in accomplishing the task, that one or more sub-graphs of the plurality of sub-graphs of the synaptic connectivity graph correspond to regions of the brain of the biological organism that are predicted to be functionally-specialized for performing the task.

One or more non-transitory computer storage media storing instructions that when executed by one or more computers cause the one or more computers to perform operations for identifying one or more regions of a brain of a biological organism that are predicted to be functionally-specialized for performing a task, the operations comprising:

• obtaining data defining a synaptic connectivity graph representing synaptic connectivity between neurons in the brain of the biological organism, wherein the synaptic connectivity graph is generated by processing a three-dimensional (3D) synaptic resolution image of 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 of the synaptic connectivity graph, a performance measure characterizing a performance of a neural network having a neural network architecture that is specified by the sub-graph of the synaptic connectivity graph in accomplishing the task, comprising, for each of the plurality of sub-graphs of the synaptic connectivity graph:
• processing the sub-graph of the synaptic connectivity graph to generate a neural network having a neural network architecture that is specified by the sub-graph of the synaptic connectivity graph;
• training the neural network having the neural network architecture that is specified by the sub-graph of the synaptic connectivity graph to accomplish the task;
• and
• after the training, evaluating a performance measure of the neural network having the neural network architecture that is specified by the sub-graph of the synaptic connectivity graph in accomplishing the task;
• and
• determining, based on the performance measures of neural networks having neural network architectures specified by the sub-graphs of the synaptic connectivity graph in accomplishing the task, that one or more sub-graphs of the plurality of sub-graphs of the synaptic connectivity graph correspond to regions of the brain of the biological organism that are predicted to be functionally-specialized for performing the task.