The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...

Background: Linear dimensionality reduction techniques are widely used in many applications. The goal of dimensionality reduction is to eliminate the noise of data and extract the main features of ...

In 1957, Rosenblatt published pioneering work on the first machine learning algorithm for artificial neurons, known as the perceptron. He helped revolutionize the field of artificial intelligence ...

Parkinson's Disease (PD) is the second most common age-related neurological disorder that leads to a range of motor and cognitive symptoms. A PD diagnosis is difficult since its symptoms are quite ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Implants and prostheses have become common routes to treat ...

Abstract: The binary (or Ising) perceptron is a toy model of a single-layer neural network and can be viewed as a random constraint satisfaction problem with a high degree of connectivity. The model ...

Abstract: In order to solve the problem of non-ideal training sets (i.e., the less-complete or over-complete sets) and implement one-iteration learning, a novel efficient quantum perceptron algorithm ...

Institute of Electrical and Microengineering, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland Institute of Materials Science and Engineering, École Polytechnique ...