Early exposure to language, whether it's vocalized or sign language, assists with normal brain development in children, researchers report.
Artificial intelligence sheds new light on how the brain processes language. Researchers report the human brain may use next word prediction to drive language processing.
Auditory and speech processing occurs in parallel in the brain, researchers report. The findings contradict the belief that the brain processes auditory information before transferring it into linguistic information.
Study reveals how the brain analyzes different types of speech which may be linked to how we comprehend sentences and calculate mathematical equations.
Combining neuroimaging data with artificial intelligence technology, researchers have identified a complex network within the brain that comprehends the meaning of spoken sentences.
Interpreting computer code activates general-purpose brain networks, but not language processing areas.
Working memory for language processing can be provided by the down-regulation of neural excitability in response to external input.
Some words are far more memorable than others. Researchers discovered our memories are wired into neural networks that allow the brain to search for these memories, much like the way search engines track down relevant information.
New findings dispute the popular cerebellar deficit hypothesis of dyslexia. Researchers report the cerebellum is not engaged during reading in typical readers and does not differ in children with dyslexia.
Four genetic regions have been identified as playing a role in left-handedness. Three of the four genes were associated with proteins involved in brain development and structure. Neuroimaging revealed those who were left-handed had increased functional connectivity between left and right language networks. Researchers also found correlations between the genetic regions associated with left-handedness and slightly reduced Parkinson's risk, but a slightly increased risk for schizophrenia.
A new machine learning algorithm can accurately determine whether a person heard a real or made-up word based on neuroimaging data.
Children at higher risk of ASD are less able to distinguish between differences in speech patterns. The findings suggest the biological mechanism of language development is less acquisitive in high-risk infants who are diagnosed with autism during toddlerhood.
