This review article aims to address common research questions in hexapod robotics. How
can we build intelligent autonomous hexapod robots that can exploit their biomechanics …

Our real-time actions in everyday life reflect a range of spatiotemporal dynamic brain activity
patterns, the consequence of neuronal computation with spikes in the brain. Most existing …

As the representatives of brain-inspired models at the neuronal level, spiking neural
networks (SNNs) have shown great promise in processing spatiotemporal information with …

Recent studies have demonstrated that Drosophila melanogaster (briefly Drosophila) can
successfully perform higher cognitive processes including second order olfactory …

In nature, insects show impressive adaptation and learning capabilities. The proposed
computational model takes inspiration from specific structures of the insect brain: after …

Despite their small brains, insects show advanced capabilities in learning and task solving.
Flies, honeybees and ants are becoming a reference point in neuroscience and a main …

We revise the current model of learning pattern recognition in the Mushroom Bodies of the
insects using current experimental knowledge about the location of learning, olfactory …

Learning and reproducing temporal sequences is a fundamental ability used by living
beings to adapt behaviour repertoire to environmental constraints. This paper is focused on …

Classification and sequence learning are relevant capabilities used by living beings to
extract complex information from the environment for behavioral control. The insect world is …

The brain is the ultimate challenge when it comes to understanding the basis of what makes
living beings able to survive in hostile environments, adapt their lifestyle to changing …