Neural chip decodes interactions between brain regions

Researchers at EPFL have developed a neural chip that can decode interactions between different brain regions. The chip uses a combination of artificial intelligence and machine learning algorithms to analyze neural activity. The team used the chip to study the neural activity of mice and were able to decode the interactions between brain regions involved in memory formation and retrieval. The chip can be used to study various brain functions and could potentially be used to help people with neurological disorders such as Alzheimer's disease. The neural chip is made up of 1,024 artificial neurons and is connected to a computer, which is used to analyze the data. The team used a technique called spike-phase locking value (SPV) to decode the neural activity. The results of the study were published in the journal Nature Communications.