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Home > Biomimetic Neural Learning for Intelligent Robots: Intelligent Systems, Cognitive Robotics, and Neuroscience > Towards Biomimetic Neural Learning for Intelligent Robots
Biomimetic Neural Learning for Intelligent Robots: Intelligent Systems, Cognitive Robotics, and Neuroscience |
Stefan Wermter; Günther Palm; Mark Elshaw
Springer Berlin Heidelberg
Biomimetic Neural Learning for Intelligent Robots: Intelligent Systems, Cognitive Robotics, and Neuroscience
Towards Biomimetic Neural Learning for Intelligent Robots
Authors

Stefan Wermter; Günther Palm; Cornelius Weber; Mark Elshaw

ARI Id

1664838795503_3728981

Access

Not Available Free

Pages

1-18

DOI

10.1007/11521082_1

Chapter URL

https://rd.springer.com/chapter/10.1007/11521082_1

Table of Contents of Book
Showing 1 to 20 of 24 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
Towards Biomimetic Neural Learning for Intelligent Robots
Stefan Wermter; Günther Palm; Cornelius Weber; Mark Elshaw
1-18
The Intentional Attunement Hypothesis The Mirror Neuron System and Its Role in Interpersonal Relations
Vittorio Gallese
19-30
Sequence Detector Networks and Associative Learning of Grammatical Categories
Andreas Knoblauch; Friedemann Pulvermüller
31-53
A Distributed Model of Spatial Visual Attention
Julien Vitay; Nicolas P. Rougier; Frédéric Alexandre
54-72
A Hybrid Architecture Using Cross-Correlation and Recurrent Neural Networks for Acoustic Tracking in Robots
John C. Murray; Harry Erwin; Stefan Wermter
73-87
Image Invariant Robot Navigation Based on Self Organising Neural Place Codes
Kaustubh Chokshi; Stefan Wermter; Christo Panchev; Kevin Burn
88-106
Detecting Sequences and Understanding Language with Neural Associative Memories and Cell Assemblies
Heiner Markert; Andreas Knoblauch; Günther Palm
107-117
Combining Visual Attention, Object Recognition and Associative Information Processing in a NeuroBotic System
Rebecca Fay; Ulrich Kaufmann; Andreas Knoblauch; Heiner Markert; Günther Palm
118-143
Towards Word Semantics from Multi-modal Acoustico-Motor Integration: Application of the Bijama Model to the Setting of Action-Dependant Phonetic Representations
Olivier Ménard; Frédéric Alexandre; Hervé Frezza-Buet
144-161
Grounding Neural Robot Language in Action
Stefan Wermter; Cornelius Weber; Mark Elshaw; Vittorio Gallese; Friedemann Pulvermüller
162-181
A Spiking Neural Network Model of Multi-modal Language Processing of Robot Instructions
Christo Panchev
182-210
A Virtual Reality Platform for Modeling Cognitive Development
Hector Jasso; Jochen Triesch
211-224
Learning to Interpret Pointing Gestures: Experiments with Four-Legged Autonomous Robots
Verena V. Hafner; Frédéric Kaplan
225-234
Reinforcement Learning Using a Grid Based Function Approximator
Alexander Sung; Artur Merke; Martin Riedmiller
235-244
Spatial Representation and Navigation in a Bio-inspired Robot
Denis Sheynikhovich; Ricardo Chavarriaga; Thomas Strösslin; Wulfram Gerstner
245-264
Representations for a Complex World: Combining Distributed and Localist Representations for Learning and Planning
Joscha Bach
265-280
MaximumOne: An Anthropomorphic Arm with Bio-inspired Control System
Michele Folgheraiter; Giuseppina Gini
281-298
LARP, Biped Robotics Conceived as Human Modelling
Umberto Scarfogliero; Michele Folgheraiter; Giuseppina Gini
299-314
Novelty and Habituation: The Driving Forces in Early Stage Learning for Developmental Robotics
Q. Meng; M. H. Lee
315-332
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 24 entries
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