Classifying Neuronal Cell Types Based on Shared Electrophysiological Information from Humans and Mice

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology, Life Sciences, Cell Biology, Bioengineering,
electrophysiology   cell-type classification   neuronal types   domain adaptation   sparse neural networks   interpretable neural networks  

Innovative Fusion in Neuron Classification: Shared Information from Human and Mouse Electrophysiological Data The scientific community has long faced significant challenges in neuron classification. Accurate classification of neurons is crucial for understanding brain function in both healthy and diseased states. This study, led by Ofek Ophir, Orit...

Speech Prosody Serves Temporal Prediction of Language via Contextual Entrainment

Medicine, Neurology, Clinical Psychology, Life Sciences, Biophysics,
speech prosody   temporal prediction   contextual entrainment   electrophysiology   MEG   language comprehension  

Time prediction plays an important role in language comprehension, making language processing faster and more efficient. Especially in complex auditory and language processing, predicting the information of the upcoming utterance can improve comprehension efficiency and reduce cognitive load. Existing research has shown that listeners can utilize t...