no code implementations • NeurIPS Workshop SVRHM 2020 • Lynn Katrina Annika Sörensen, Heleen A. Slagter, H. Steven Scholte, Sander Bohte
By leveraging the full observability of our model, we reconcile conflicting findings from previous studies on sensory processing, by showing that both linear as well inverted-U-shaped gain profiles emerge in the interaction of hierarchical sensory processing and global arousal changes.
no code implementations • 18 Feb 2019 • Bojian Yin, Siebren Schaafsma, Henk Corporaal, H. Steven Scholte, Sander M. Bohte
While modern convolutional neural networks achieve outstanding accuracy on many image classification tasks, they are, compared to humans, much more sensitive to image degradation.
no code implementations • 13 Oct 2017 • Davide Zambrano, Roeland Nusselder, H. Steven Scholte, Sander Bohte
Adaptive spike-time coding additionally allows for the dynamic control of neural coding precision: we show how a simple model of arousal in AdSNNs further halves the average required firing rate and this notion naturally extends to other forms of attention.