4 papers
Spiking neurons as predictive controllers of linear systems
Paolo Agliati, André Urbano, Pablo Lanillos +3
Neurons communicate with downstream systems via sparse and incredibly brief electrical pulses, or spikes. Using these events, they control various targets such as neuromuscular uni…
Efficient and robust control with spikes that constrain free energy
André Urbano, Pablo Lanillos, Sander Keemink
Animal brains exhibit remarkable efficiency in perception and action, while being robust to both external and internal perturbations. The means by which brains accomplish this rema…
Spiking Neural Networks for Continuous Control via End-to-End Model-Based Learning
Justus Huebotter, Pablo Lanillos, Marcel van Gerven +1
Despite recent progress in training spiking neural networks (SNNs) for classification, their application to continuous motor control remains limited. Here, we demonstrate that full…
Object-centric proto-symbolic behavioural reasoning from pixels
Ruben van Bergen, Justus Hübotter, Alma Lago +1
Autonomous intelligent agents must bridge computational challenges at disparate levels of abstraction, from the low-level spaces of sensory input and motor commands to the high-lev…