AI Synergies


Arnoud Visser

Senior Lecturer

An unsupervised trained neural network model to predict visual cortex measurements

Understanding how the visual cortex of the human brain really works is still an open problem for science today. A better understanding of natural intelligence could also benefit object-recognition algorithms based on convolutional neural networks. In this talk we demonstrate the asset of using a residual neural network of only 20 layers for this task. This will be compared with the approaches applied by the most successful competitors of this challenge.


Arnoud Visser’s research focuses on perception and cooperation inside robot teams. With perception one can build a joint world model which could be the basis of shared decision making. Arnoud Visser was the founder of the Intelligent Robotics Lab, a place where robotics research in Amsterdam is conducted and shared.


Syrah room
Research presentations AI
Day 2 - Nov 7th

Brewery of Ideas

AI Synergies is organized by VUB/ULB, BNVKI and Brewery of Ideas.

More info about our events