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By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.
For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light ...
Recent research has employed chemical reaction networks (CRNs), which harness biochemical processes for computations that translate interactions involving biochemical species into graphical form.
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A recurrent neural network-based framework to non-linearly model behaviorally relevant neural dynamicsShanechi in their paper. "We present dissociative prioritized analysis of dynamics (DPAD), a nonlinear dynamical modeling approach that enables these capabilities with a multisection neural network ...
CRISPR construct to genetically ablate the GABA transporter GAT3 in the mouse visual cortex, with effects on population-level neuronal activity. This work is important, as it sheds light on how GAT3 ...
Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...
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