A new mathematical model sheds light on how the brain processes different cues, such as sights and sounds, during decision ...
A new drug-free, minimally invasive intervention targets the root cause of progressive loss of neural function in spinal ...
Former Chief Economic Advisor (CEA) Arvind Subramanian has cast doubt on India's ability to achieve its 2047 "Viksit Bharat" goal, arguing that the economic math simply does not add up.
IEEE.tv is made possible by the Members of IEEE. This feature is accessible to IEEE Members only, with an IEEE Account. If you are an IEEE Member please sign in to ...
A flip-flop in digital electronics is a circuit with two stable states that can be used to store binary data. The stored data can be changed by applying varying inputs. Flip-flops and latches are ...
He later moved on to study C. elegans because its simple and well-documented nervous system offered a unique chance to examine how behavior arises from neural circuits. New strategy to see the ...
Neuronal pathway finding is crucial for structured cellular organization and development of neural circuits within the nervous system. Neuronal pathway finding within the visual system has been ...
Institute of Flexible Electronics (IFE, Future Technologies), Xiang’an Campus, Xiamen University, Xiang’an South Road, Xiamen 361102, Fujian, China State Key Laboratory of Physical Chemistry of Solid ...
Just as GPUs once eclipsed CPUs for AI workloads, Neural Processing Units (NPUs) are set to challenge GPUs by delivering even faster, more efficient performance—especially for generative AI, where ...
Previous research has suggested that IL-1 signaling in neurons is involved in sickness behaviors, anxiety, and changes in sleep, but the exact neural circuits involved have not been well-defined.
Previous research has suggested that IL-1 signaling in neurons is involved in sickness behaviors, anxiety, and changes in sleep, but the exact neural circuits involved have not been well-defined.
Learn More A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time ...
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