Researchers use machine learning algorithms to train a computer to recognize the neural patters associated with various odors.
New software can be applied to existing neuron tracing algorithms to handle enormous data sets.
Researchers report relatively simple math logic underlies complex brain computations.
A new algorithm is able to predict future terror attacks by recognizing patterns from past attacks.
New analysis shows how to generate the best results when approximating solutions to complex engineering problems.
Researchers report improvement of up to 90% in seizure prediction, thanks to crowdsourcing over 10,000 algorithms world wide.
Researchers have created computer models of the neural connections in both health brains and brains of people suffering from Parkinson's disease.
Researchers have developed a faster, more precise method of identifying which of a person's genes could be associated with a particular disease.
The brain's ability to use approximate probabilistic inference can not be studied by simple tasks that are not well suited to expose the inferential computations that make the brain special, researchers say.
Researchers created a computer model based on direct brain recordings from epilepsy patients and discover the existence of a network of neural regions directly involved in seizures.
Researchers have developed a new mathematical algorithm that can detect dyskinesia in Parkinson's patients.
Researchers suggest more emphasis be placed on attention deficit rather than hyperactivity in people with ADHD.
