Jaime de la Rocha

title: Integration of information in perceptual decisions across different time scales.

Affiliation: Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona.

Abstract:

Jaime de la Rocha

title: Integration of information in perceptual decisions across different time scales.

Affiliation: Institut d’Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona.

Abstract:

Robb Rutledge

Title: The role of dopamine in decision making and mood.
Affiliation: Max Planck UCL Centre for Computational Psychiatry, University College London. **
Abstract:

Jakob Macke

Title: Shrinking the gap between data-driven and theory-driven models of neural dynamics.

Affiliation: Center of advanced European studies and research (CAESAR), Germany.

Abstract:

Jakob Macke

Title: Shrinking the gap between data-driven and theory-driven models of neural dynamics.

Affiliation: Center of advanced European studies and research (CAESAR), Germany.

Abstract:

Claudia Clopath

Title: Modelling synaptic plasticity in neural circuits.

Affiliation: Imperial College London, UK.

Abstract:

Claudia Clopath

Title: Modelling synaptic plasticity in neural circuits.

Affiliation: Imperial College London, UK.

Abstract:

Seminar: Roel Wolterink

Title: Stage-dependent functions of GATA-3 in early T cell and ILC development.

Affiliation: Division of Hematology, Department of Internal Medicine, Maastricht University Medical Center, Maastricht, The Netherlands.

Abstract:

Naftali Tishby

Title: Inormation Theory of Deep Neural Networks: Why and how Deep Learning works so well?

Affiliation: The Hebrew University, Jerusalem, Israel.

Abstract:

Despite their great success, the theoretical understating of Deep
Neural Networks (DNNs) and their inner organization is still lacking.

Naftali Tishby

Title: Inormation Theory of Deep Neural Networks: Why and how Deep Learning works so well?

Affiliation: The Hebrew University, Jerusalem, Israel.

Abstract:

Despite their great success, the theoretical understating of Deep
Neural Networks (DNNs) and their inner organization is still lacking.

Subscribe to Seminar
Loading
Please wait...