Real brains and artificial intelligence
The artificial intelligence debate: false starts, real foundations
Modeling neural function at the schema level: implications and results for robotic control
Proceedings of the workshop on "Locomotion Control in Legged Invertebrates" on Biological neural networks in invertebrate neuroethology and robotics
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Evolutionary neurocontrollers for autonomous mobile robots
Neural Networks - Special issue on neural control and robotics: biology and technology
Being There: Putting Brain, Body, and World Together Again
Being There: Putting Brain, Body, and World Together Again
Evolutionary Robotics: The Biology,Intelligence,and Technology
Evolutionary Robotics: The Biology,Intelligence,and Technology
Design Principles and Constraints Underlying the Construction of Brain-Based Devices
Neural Information Processing
Creating Brain-Like Intelligence
Creating Brain-Like Intelligence
Prerequesites for symbiotic brain-machine interfaces
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
The iCub cognitive humanoid robot: an open-system research platform for enactive cognition
50 years of artificial intelligence
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Importing the computational neuroscience toolbox into neuro-evolution-application to basal ganglia
Proceedings of the 12th annual conference on Genetic and evolutionary computation
Neuromorphic modeling abstractions and simulation of large-scale cortical networks
Proceedings of the International Conference on Computer-Aided Design
Towards a real-time interface between a biomimetic model of sensorimotor cortex and a robotic arm
Pattern Recognition Letters
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The simultaneous study of brain function at all levels of organization is difficult to undertake with current experimental tools. Present day electrophysiology only allows the recording of at most hundreds of neurons while an animal is performing a behavioral task. Because of this limitation and the sheer complexity of the nervous system, computational modeling has become essential in developing theories of brain function. Accordingly, our group has constructed a series of brain-based devices (BBDs), that is, physical devices with simulated nervous systems that guide behavior, to serve as a heuristic for testing theories of brain function. Unlike animal models, BBDs permit analysis of activity at all levels of the nervous system as the device behaves in its environment. Although the principal focus of developing BBDs has been to test theories of brain function, this type of modeling may also provide a basis for robotic design and practical applications.