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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 ...
Pico della Mirandola is the unofficial saint of transhumanists because he was pushing human plasticity over the edge. He ...
Small-conductance calcium-activated potassium channel 2 (SK2) serves a variety of biological functions by coupling intracellular calcium dynamics with membrane potential. SK2 modulators are in ...
The future is marked by deepening uncertainty about our place in it, and by growing ambiguity about the nature of human purpose itself.
One computer scientist’s “stunning” proof is the first progress in 50 years on one of the most famous questions in computer ...
Antibody–siRNA conjugates (ARCs) are a type of promising drug modalities for cancer therapy. However, initial reports of ARCs present the gene knockdown effect only in limited tissues (e.g., muscles) ...
Think you’re seeing the whole picture? Discover how AI and your brain trick you and how scientific thinking can help you ...
Researchers are using machine learning, symbolic regression, and high-performance computing to explore and classify string ...
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.
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CNET on MSNChatGPT Glossary: 53 AI Terms Everyone Should KnowAI is everywhere. From the massive popularity of ChatGPT to Google cramming AI summaries at the top of its search results, AI ...
Seabed-origin oil spills pose distinct challenges in marine pollution management due to their complex transport dynamics and ...
Recent research on deep convolutional neural networks (DCNNs) for classifying micro-Doppler (m-D) signatures faces a significant challenge due to the limited and costly acquisition of data. This ...
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