Researchers have identified a connectivity fingerprint that suggests the brain's reading network works across different cognitive domains, even mathematical skills.
Genetic variants of ROBO1 in young children are associated with gray matter volume in the right parietal cortex. This, in turn, predicts mathematical tests scored by second grade.
A new computational model predicts how information deep inside the brain could flow from one network to another, and how neural network clusters can self optimize over time.
Neural networks involved in the same computation will repeatedly converge toward the same firing rates, even if they are perturbed by the natural noisiness of individual neurons or sensory environmental stimuli.
Mathematical model incorporated several strategies to help flatten the COVID-19 curve, focusing on scarcity in hospital resources over two years. The models showed current physical distancing can help maintain healthcare capacity and reduce infections. The model also allowed for periodic economic and psychological breaks from social restrictions.
Community actions taken to slow the spread of COVID-19 may help to contain the virus and stop the exponential growth of cases. Researchers say the viral spread in China occurred in a fractal pattern. When social distancing was implemented, viral spread slowed. With more communities adopting social distancing measures, the spread became smaller in each new area exposed.
Combining advanced microscopy and mathematical modeling, researchers have discovered a pattern that governs the growth of neurons.
When those around you are indecisive, it can have a big influence on your own choices.
Brain training exercises do not help boost early math learning. However, core thinking skills, including memory and attention, are key skills that support early math learning.