Русские видео

Сейчас в тренде

Иностранные видео


Скачать с ютуб Ryszard Auksztulewicz: Prediction, attention, and memory in the auditory cortex в хорошем качестве

Ryszard Auksztulewicz: Prediction, attention, and memory in the auditory cortex 2 года назад


Если кнопки скачивания не загрузились НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием, пожалуйста напишите в поддержку по адресу внизу страницы.
Спасибо за использование сервиса savevideohd.ru



Ryszard Auksztulewicz: Prediction, attention, and memory in the auditory cortex

CCNB Seminar Series is hosted by the Center for Cognitive Neuroscience Berlin. Twitter: @CCNBerlin Title: Prediction, attention, and memory in the auditory cortex Date: 30.05.2023 Guest: Ryszard Auksztulewicz Affiliation: European Neuroscience Institute Göttingen Abstract: The brain is thought to generate internal predictions, based on the memory of past stimulation, to optimise behaviour. However, it is unclear to what extent these predictions are modulated by other top-down factors such as attention and task demands, and whether predictions of different sensory features are mediated by the same neural mechanisms. In this talk I will present results of several studies combining human and rodent electrophysiology with computational modelling to identify the neural mechanisms of sensory predictions and their interactions with other cognitive factors. First, in a series of non-invasive studies using MEG/EEG and direct recordings from humans using ECoG, analysis of behavioural and neural data showed that the effects of predictions are not automatic but are modulated by their contextual relevance. Second, computational modelling of the data suggested that these modulations could be linked to specific candidate mechanisms, including gain control in sensory regions. Finally, in a series of studies using invasive recordings in anaesthetised rodents, neural representations related to stimulus memory and predictions could be decoded from auditory cortical activity, shedding light on the evolutionary conservation of predictive processing across species.

Comments