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Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p
This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...
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.
The strength of certain neural connections can predict how well someone can learn math, and mildly electrically stimulating ...
This useful study presents a biologically realistic, large-scale cortical model of the rat's non-barrel somatosensory cortex, investigating synaptic plasticity of excitatory connections under varying ...
The strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.
Neuromorphic computing, as a novel approach to processing information by mimicking biological neural networks, has gradually demonstrated significant ...
Exposure to mycotoxins – a broad group of harmful substances produced by mold – during pregnancy may impact placental function, which could result in lower birthweight in humans, according to Rutgers ...
Thanks to the neural network, the researchers now suspect that the black hole at the center of the Milky Way is spinning at almost top speed. Its rotation axis points to the Earth.
Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .
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