Breathing is one of the most vital signs of health, yet most methods to monitor it are bulky and uncomfortable. A new study ...

An organic synapse array enables night vision and pattern recognition in insect robots by detecting near-infrared light and ...

It is like obtaining a detailed wiring diagram of an AI’s internal ... for understanding and experimentation with neural networks. Circuit tracing on Neuronpedia (source: Anthropic blog ...

Two new research papers have mapped out which pathways in the brain are responsible for driving hunger, food seeking and ...

This important study investigates frequency-dependent effects of transcutaneous tibial nerve stimulation (TTNS) on bladder function in healthy humans and, through a computational model, shows that low ...

Section 2.1 presents the comprehensive architecture featuring MRAM circuits and details the types of neural behaviors from biological neural networks that the proposed design can emulate. Section 2.2 ...

Abstract: It is shown that simple neural networks can have potential problems of stability depending on their circuit implementation. A technique for transforming neural networks to equivalent ...

Abstract: This paper presents a novel circuit implementation for convolution filters and rectified linear activation function used in deep neural networks. By conducting ... compared to a conventional ...

Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a ...

Although this resilience is traditionally attributed to redundancy in neural networks, a new study uncovers a more active mechanism: dynamic homeostatic processes that preserve cortical ...

Researchers have developed a groundbreaking 3D brain model that closely mirrors the architecture and function of the human brain.

AI model GPT-4o accurately extracts brain circuit data from scientific literature, offering a faster, reliable way to advance ...