High levels of insulin during mid-childhood was linked to an increased risk of developing psychosis during early adulthood. Additionally, an increase in BMI during the onset of puberty, specifically in girls, was linked to an increased risk of depression. Read More
A new machine-learning algorithm has uncovered new neural mechanisms and enhanced the decoding of behaviors directly from brain signaling data. Read More
Maternal obesity may hinder their child's brain development as soon as the second trimester of pregnancy. High maternal BMI is associated with changes to the child's prefrontal cortex and anterior insula, two brain areas associated with decision making, and behavior. Read More
Obesity and higher body mass are linked to decreased cerebral blood flow. Lower cerebral blood flow is associated with an increased risk of Alzheimer's disease and a range of psychiatric disorders. Read More
Researchers reduced the power requirements of neural interfaces while improving their accuracy by tuning into a subset of brain waves. Read More
Researchers were able to restore the sense of touch to a 28-year-old who suffered a spinal cord injury with the help of new brain-computer interface technology. Read More
Machine learning algorithm allows a brain-computer interface to readjust itself continually in the background to ensure the system is always calibrated and ready to use. Read More
Artificial IntelligenceDeep LearningFeaturedMachine LearningNeuroscienceNeurotechOpen Neuroscience Articles
··3 min readResearchers have created a hybrid neural network where biological and artificial neurons in different parts of the world were able to communicate via the internet through a hub of memristive synapses. Read More
Artificial IntelligenceDeep LearningFeaturedMachine LearningNeuroscienceNeurotechOpen Neuroscience Articles
··3 min readApplying a nonlinear signal processing method to experimental data, a new study reveals a connection between motor behavior and brain activity. The findings could help with the development of new brain-computer interfaces and artificial intelligence technologies. Read More
Neural activity patterns for limb movements remain stable over time. Researchers were able to record, decode, and reconstruct activity patterns from common movement skills. The findings could have immediate implications for the development of neuroprosthetics that can bypass brain injuries by inferring intended motor actions from a person's brain. Read More
Those with a higher body mass index who are given atezolizumab to treat cancer have an improved rate of survival, a new study reveals. Read More
A bilateral implant and brain-machine interface technology allowed a patient with a high spinal cord injury to control prosthetic arms with the power of thought. Read More