ANNULÉ - How do natural neuronal networks deal with noise?

The retina is a dense layered network of neurons that transforms incoming light from visual scenes into noisy spiking activity. This transformation is highly non-linear and has not been fully characterized yet. In particular, the activity of the different output neurons is noisy and correlated. There is at the moment no consensus on the extent and purpose of the correlations observed in the population response, some studies stating that they can be beneficial whilst others showing otherwise. In this talk I will discuss some recent results to answer this question. First, I will develop generative models to characterize the retinal response to complex visual stimuli using data from multi-electrode array experiments. Then, I will present a new method for estimating the extent of information transmitted by the retina, and use it to discuss whether the correlation between the retinal output neurons is beneficial or detrimental.

Zoom details: https://us06web.zoom.us/j/85026628859?pwd=NVBkVUJXR3JINlJRdzRKZDNJWmtPQT09