Using whole-brain virtual models, researchers simulate the effects of non-invasive neurostimulation on the aging brain. The computational models shed light on the dynamics of brain changes as a result of aging.
A new computational model uses the entire function of the brain rather than specific networks or areas to explain the relationship between mental processing and brain anatomy. The model aims to discover how the brain works and breaks down as a result of aging and dementia.
A new computational method sheds light on the intricacies of brain structure and function.
When people engage in complex thoughts, their brain networks organize into fractal-like patterns.
The cognitive map allows people to compute on the fly with limited information to solve abstract problems.
Researchers have discovered a new molecule that could increase the ultra-fast decision-making capabilities of computers. The simple molecule provides a new electronic circuit element in which complex logic is encoded in nanoscale material properties.
A new mathematical model is able to predict the optimal exercise regime to help build muscles.
A new artificial intelligence algorithm can find the quickest trajectory to fly a drone through a series of waypoints on a circuit. The AI proved to be faster at controlling the drone and completing the track than two world-class human pilots.
Findings shed new light on the invariant rate of aging hypothesis, providing fresh evidence that death is inevitable.
Emotional recognition technology is rapidly growing into a multi-billion dollar industry. Researchers investigate the limitations of new AI technology, and some of the biases within the algorithms, when it comes to identifying human emotions efficiently.
Apoptosis plays a critical role in brain development as it influences the thickness of layers in the cerebral cortex, variety, and layer cell density. Alterations in how cells perform division and apoptosis lead to the development of abnormal cortical structures as seen in a variety of neurodevelopmental disorders, including autism.
A newly developed AI tool can identify "deepfakes" of faces by examining the light reflection in the eyes of the images. The system is 94% accurate at detecting deepfakes.