This volume presents the science review article as an opportune genre for introducing
rhetorical diversity into scientific communities. First, it discusses the theoretical issues …

Oculomotor control in a humanoid robot faces similar problems as biological oculomotor
systems, that is, capturing targets accurately on a very narrow fovea, dealing with large …

Even though many authors use embodied systems for their research on adaptive behavior,
only few deal explicitly with shape or morphology. The adaptive potential is seen at the level …

Recent advances in behavioural and computational neuroscience, cognitive robotics, and in
the hardware implementation of large-scale neural networks, provide the opportunity for an …

We present here a learning system using the iCub humanoid robot and the SpiNNaker
neuromorphic chip to solve the real-world task of object-specific attention. Integrating spiking …

In this paper we explore the possibility of quantitative analysis of sensory data and the
interactions between the signals in different sensory channels as an agent interacts with the …

This paper proposes a biologically inspired model for motor skill imitation. The model is
composed of modules that are high-level abstractions of the spinal cord, the primary and pre …

Neuromorphic hardware and cognitive robots seem like an obvious fit, yet progress to date
has been frustrated by a lack of tangible progress in achieving useful real-world behaviour …

Taking a global analogy with the structure of perceptual biological systems, we present a
system composed of two layers of real-valued sigmoidal neurons. The primary layer …

We propose a cognitive system algebra (CSA) useful to represent cognitive systems and to
analyze them. This formalism is based on a deep structural link that should exist between …