Date and Time: Tuesday 20 May 2025, 09:30-11:00
Where: Digital Futures hub, Osquars Backe 5, floor 2 at KTH main campus
Directions: https://www.digitalfutures.kth.se/contact/how-to-get-here/
OR
Zoom: https://kth-se.zoom.us/j/69560887455
Host: Dr. Arvind Kumar, Computational Brain Science, Div. of Computational Science and Technology, SciLifeLab, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm
Speakers
Stefano Panzeri – Dissecting the contribution to perceptual decisions of encoding and readout of neural information
Stefano Panzeri – Institute of Neural Information Processing Center for Molecular Neurobiology Hamburg (ZMNH), Department of Excellence for Neural Information Processing, University of Hamburg, Germany
Abstract: Perceptual decisions require that neural populations encode information about the sensory environment and that other downstream populations read it out to inform behavioral outputs. Here we present our computational work to provide methods that individuate and tease apart the contribution of these two neural operations to the formation of perceptual decisions. We exemplify these methods with the study of several datasets from sensory and parietal cortices and we discuss their implications for understanding the emergent computations of neural population codes.
Peter Latham – Time and task management in complex environments
Peter Latham – Gatsby Computational Neuroscience Unit
Sainsbury Wellcome Centre for Neural Circuits and Behaviour, University College London, UK.
Abstract: Perceptual decisions require that neural populations encode information about the sensory environment and that other downstream populations read it out to inform behavioral outputs. Here we present our computational work to provide methods that individuate and tease apart the contribution of these two neural operations to the formation of perceptual decisions. We exemplify these methods with the study of several datasets from sensory and parietal cortices and we discuss their implications for understanding the emergent computations of neural population codes.
