Ali Motahharynia, Ahmad Pourmohammadi ... Mehdi Sanayei
Imprecision in decoding information and swap error, that is, mistakenly reporting a non-target feature, contributes to working memory deficit in the multiple sclerosis population.
Neural network modeling shows that hierarchical application of the simple computational principle of predicting future sensory input from its past can capture features of visual motion processing from the retina to the visual cortex.
The coupling between neural oscillatory activity, haemodynamics, and metabolism is localised to the temporo-parietal region in response to social stimuli, providing evidence of the importance of investigating the energetic basis of brain functional specialisation.
Interactions between cortical and subcortical circuits in the mammalian brain flexibly control the flow of information streams that drive decisions by shifting the balance of power both within and between action representations.
As mice learn a sensory discrimination task, information from the previous trial emerges during the current trial period in several task-related cortical areas, just before and during the sensation period.
Generative artificial intelligence, such as OpenAI’s ChatGPT, can be used to analyze scientific texts with specialized constructions, including peer review reports.
Retinal visual response properties in awake mice are similar to those under anesthesia or ex vivo, but not exactly the same, so knowledge of retinal function cannot be simply translated from ex vivo to in vivo.
