Learning is widespread in the animal kingdom. From the small nematode worm
Caenorhabditis elegans to humans, learning appears to play a central role in adaptation to …

The insect mushroom body has gained increasing attention as a system in which the
computational basis of neural learning circuits can be unraveled. We now understand in …

The pathways for olfactory learning in the fruitfly Drosophila have been extensively
investigated, with mounting evidence that that the mushroom body is the site of the olfactory …

The mushroom body is a prominent invertebrate neuropil strongly associated with learning
and memory. We built a high-level computational model of this structure using simplified but …

Publisher Summary This chapter discusses the use of robots to understand the animal
behavior. A fundamental difference of robotic implementations from computer simulations of …

Brain complexity varies across many orders of magnitude between animals, and it is often
assumed that complexity underpins cognition. It is thus important to explore the cognitive …

Sensory systems face the challenge to represent sensory inputs in a way to allow easy
readout of sensory information by higher brain areas. In the olfactory system of the fly …

Understanding sensorimotor neural circuits plays an important role in the study of behavioral
mechanisms. By virtue of a relatively simple brain structure and sophisticated locomotion …

A robot that senses and interacts autonomously with the real world can be used to embody
specific hypotheses about the mechanisms of learning in invertebrates. Several models of …

The moth Macroglossum stellatarum can learn the color and sometimes the odor of a
rewarding food source. We present data from 20 different experiments with different …