Their findings, recently reported in the journal Nature, overturn longstanding assumptions in developmental biology and could change the way scientists think about treatments for a variety of ...
Protocadherins, a subfamily within the cadherin superfamily, are fundamental to the precise organisation of neural circuits. They contribute to cell adhesion mechanisms that underlie synaptic ...
Scientists have shed new light on how certain biological processes determine the development of neural cells. Their findings on a molecular 'bridge' complex demonstrate a new level of detail in the ...
Researchers from the lab of Richard Simerly have uncovered the first example of activity-dependent development of hypothalamic neural circuitry. The work also suggests a novel role for the hunger ...
Bioengineering researchers at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have developed a soft, thin, stretchable bioelectronic device that can be implanted into a ...
Georgia Tech researchers demonstrated the mechanics behind neural tube closure, which can lead to severe or fatal birth ...
Axons from AgRP neurons, in red, innervate oxytocin neurons, in green, in the PVH. Neuronal activity of AgRP neurons is required for normal targeting of their axons to oxytocin neurons, as well as for ...
Human-accelerated regions (HARs) are sections of the human genome that have accumulated an unusually high level of mutations as humans split away from chimpanzees. Given their rapid evolution, some ...
Bioengineering researchers at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have developed a soft, thin, stretchable bioelectronic device that can be implanted into a ...
Early brain development is a biological black box. While scientists have devised multiple ways to record electrical signals in adult brains, these techniques don’t work for embryos. A team at Harvard ...
MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), today announced that they have developed a set of quantum algorithms for feedforward neural networks, breaking through the performance ...
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