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ALIFE
2004
15 years 6 months ago
Adaptability and Diversity in Simulated Turn-taking Behavior
Turn-taking behavior is simulated in a coupled-agents system. Each agent is modeled as a mobile robot with two wheels. A recurrent neural network is used to produce the motor outpu...
Hiroyuki Iizuka, Takashi Ikegami
BC
2002
90views more  BC 2002»
15 years 6 months ago
What can the hippocampal representation of environmental geometry tell us about Hebbian learning?
The importance of the hippocampus in spatial representation is well established. It is suggested that the rodent hippocampal network should provide an optimal substrate for the stu...
Colin Lever, Neil Burgess, Francesca Cacucci, Tom ...
NPL
1998
133views more  NPL 1998»
15 years 6 months ago
Parallel Coarse Grain Computing of Boltzmann Machines
Abstract. The resolution of combinatorial optimization problems can greatly benefit from the parallel and distributed processing which is characteristic of neural network paradigm...
Julio Ortega, Ignacio Rojas, Antonio F. Día...
MVA
2007
153views Computer Vision» more  MVA 2007»
15 years 6 months ago
An image-based feature tracking algorithm for real-time measurement of clad height
This paper presents a novel algorithm for real-time detection of clad height in laser cladding which is known as a layered manufacturing technique. A realtime measurement of clad g...
Mehrdad Iravani-Tabrizipour, Ehsan Toyserkani
ICANN
2010
Springer
15 years 4 months ago
Dynamics and Function of a CA1 Model of the Hippocampus during Theta and Ripples
The hippocampus is known to be involved in spatial learning in rats. Spatial learning involves the encoding and replay of temporally sequenced spatial information. Temporally seque...
Vassilis Cutsuridis, Michael E. Hasselmo