Coarse wiring statistics set the dynamical regime while precise connections set activity geometry in a parameter-free model of the complete larval Drosophila connectome.
A petavoxel fragment of human cerebral cortex reconstructed at nanoscale resolution
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ShardTensor is a domain-parallelism system for SciML that enables flexible scaling of extreme-resolution spatial datasets by removing the constraint of batch size one per device.
Layer-specific cortical conductivities derived from experimental volume fractions are 20-50% higher in deeper layers than in layer 2, providing a basis for improved multiscale E-field models in neural stimulation.
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Separating wiring-specific from statistical control of dynamics in a complete connectome
Coarse wiring statistics set the dynamical regime while precise connections set activity geometry in a parameter-free model of the complete larval Drosophila connectome.
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ShardTensor: Domain Parallelism for Scientific Machine Learning
ShardTensor is a domain-parallelism system for SciML that enables flexible scaling of extreme-resolution spatial datasets by removing the constraint of batch size one per device.
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Mesoscale tissue properties and electric fields in brain stimulation: Bridging the macroscopic and microscopic scales using layer-specific cortical conductivity
Layer-specific cortical conductivities derived from experimental volume fractions are 20-50% higher in deeper layers than in layer 2, providing a basis for improved multiscale E-field models in neural stimulation.