Artificial intelligence is already proving to be a valuable tool in the field of neuroscience. It aids in our understanding of how the human brain functions as well as the advancement of neuroscience. In the history of artificial intelligence, neuroscience has played a significant role. It has been used as a model for creating AI that is human-like. Neuroscience can inspire us to create AI systems in two ways. One is to develop neural networks that replicate brain structure, and the other is to emulate human intelligence. The emergence of more powerful processors and ever-increasing amounts of training data has contributed significantly to AI's success. Artificial intelligence advancements can aid in the advancement of neuroscience and the unlocking of the brain's secrets. It enables neuroscientists and researchers to create more accurate models of the human brain.
Title : Scalp acupuncture with functional electrical stimulation for the treatment children with autism spectrum disorder
Zhenhuan Liu, Guangzhou University of Chinese Medicine, China
Title : Perception and individuality in patient cases identifying the ongoing evolution of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS)
Ken Ware, NeuroPhysics Therapy, Australia
Title : A structure-based strategy to target pathogenic α-synuclein in Parkinson’s disease
Salvador Ventura, Autonomous University of Barcelona, Spain
Title : Rabies: Challenges in taming the beast
Alan C Jackson, University of Calgary, Canada
Title : Designing and managing intelligent and ethical transformed health and social care ecosystems
Bernd Blobel, University of Regensburg, Germany
Title : Understanding Alzheimer's disease biomarkers across diverse populations - Opportunities and Insights for novel prevision medicine approaches
Sid O Bryant, Texas College of Osteopathic Medicine and University of North Texas Health Science Center Fort Worth, United States