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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 strategic advantage of QML continues to expand its presence in industries that deal with complex, high-dimensional data.
An NYU team uses machine learning to analyze neural activity data and uncover how speech is produced. In a recent paper ...
Microsoft’s artificial intelligence tool BioEmu can predict the multiple conformational states of a protein, giving insight into how a protein moves and its potential function.
Neuroscience research. Learn how the brain's physical, chemical and electrical structure can affect everything from motivation and sensory perception to disease recovery.
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