30 octobre 2020

The Francis Crick Institute, UCL London

Is seeing believing ? - building a model system to study predictive coding in the cortex

Invité par Nicolas Wanaverbecq

Abstract :

In the last decade novel genetic technologies in mice, such as transgenics and optogenetics, opened the door to a deep, mechanistic understanding of sensory and motor processing in the mammalian brain. However, there is a large and so far relatively opaque part of the brain between input and output, which is thought to encode and process internal models. I will present our efforts to build a biological model system, based on layer 5 pyramidal neurons, to study the development and functioning of generative internal models underlying predictive coding.

Research Feld : The mammalian brain is built from many millions of nerve cells, wired together to form circuits and systems. These neuronal networks receive inputs from our senses and process the information to generate sophisticated responses, such as thoughts, feelings and actions. We are studying these circuits using a wide range of techniques, looking at everything from the entire brain down to single nerve cells so that we can understand more about how the brain works. In particular, we are focusing on the networks in the brain involved in seeing and sensing space and direction, known as the visual and vestibular systems. Our work is allowing us to understand the brain from the bottom up, finding out how the microscopic circuits between nerve cells work together to generate complex behaviours.


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