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» Evolving Artificial Neural Networks that Develop in Time
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102
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IJCNN
2008
IEEE
15 years 7 months ago
Adaptation of barn owl localization system with spike timing dependent plasticity
— To localize a seen object, the superior colliculus of the barn owl integrates the visual and auditory localization cues which are accessed from the sensory system of the brain....
Juan Huo, Alan F. Murray, Leslie Smith, Zhijun Yan...
100
Voted
ICANN
2009
Springer
15 years 7 months ago
Acquiring and Classifying Signals from Nanopores and Ion-Channels
The use of engineered nanopores as sensing elements for chemical and biological agents is a rapidly developing area. The distinct signatures of nanopore-nanoparticle lend themselve...
Bharatan Konnanath, Prasanna Sattigeri, Trupthi Ma...
IADIS
2004
15 years 2 months ago
Modeling the Development of Scientific Competence in Chemistry
We have developed models of how strategies are constructed and retained as male and female high school and university students gain experience in solving online qualitative chemic...
Ron Stevens, Amy Soller, Melanie Cooper, Marcia Sp...
75
Voted
GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
15 years 6 months ago
Division blocks and the open-ended evolution of development, form, and behavior
We present a new framework for artificial life involving physically simulated, three-dimensional blocks called Division Blocks. Division Blocks can grow and shrink, divide and fo...
Lee Spector, Jon Klein, Mark Feinstein
104
Voted
IWINAC
2007
Springer
15 years 6 months ago
Evolving Robot Behaviour at Micro (Molecular) and Macro (Molar) Action Level
We investigate how it is possible to shape robot behaviour adopting a molecular or molar point of view. These two ways to approach the issue are inspired by Learning Psychology, wh...
Michela Ponticorvo, Orazio Miglino