For many years, a dominant view in neuroscience was that neurons in the inferotemporal (IT) cortex—a critical center in the ...

Neuromorphic engineering draws inspiration from biological neural systems, which operate robustly despite significant variability, noise, and heterogeneity ...

Building neural networks from scratch in Python with NumPy is one of the most effective ways to internalize deep learning fundamentals. By coding forward and backward propagation yourself, you see how ...

Prediction error refers to the mismatch between an expected outcome and the actual outcome. When a prediction error occurs, the brain updates its ...

What neural and behavioral mechanisms allow mice to identify food sources, navigate toward them, and initiate consumption? A research team led by Prof. Zhang Yunfeng from the Institute of Zoology of ...

With the rapid development of artificial electromagnetic (EM) media, metamaterials have achieved remarkable progress over the past two decades, demonstrating powerful capabilities in manipulating the ...

Traditional explanations of acupuncture often emphasize direct acupoint-organ relationships, focusing on local stimulation or ...

NPU-equipped MCUs open the door to optimized edge AI in systems ranging from wearable health monitors to physical AI in ...