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» Dynamic Path Planning with Spiking Neural Networks
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ICRA
2002
IEEE
105views Robotics» more  ICRA 2002»
14 years 12 days ago
Integrated Planning and Control of Mobile Robot with Self-Organizing Neural Network
— Despite the many significant advances made in robotics research, few works have focused on the tight integration of task planning and motion control. Most integration works in...
Kian Hsiang Low, Wee Kheng Leow, Marcelo H. Ang
JCNS
1998
134views more  JCNS 1998»
13 years 7 months ago
Analytical and Simulation Results for Stochastic Fitzhugh-Nagumo Neurons and Neural Networks
An analytical approach is presented for determining the response of a neuron or of the activity in a network of connected neurons, represented by systems of nonlinear ordinary stoc...
Henry C. Tuckwell, Roger Rodriguez
NN
2002
Springer
208views Neural Networks» more  NN 2002»
13 years 7 months ago
A spiking neuron model: applications and learning
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
Chris Christodoulou, Guido Bugmann, Trevor G. Clar...
WOA
2001
13 years 8 months ago
Implementing Adaptive Capabilities on Agents that Act in a Dynamic Environment
Acting in a dynamic environment is a complex task that requires several issues to be investigated, with the aim of controlling the associated search complexity. In this paper, a l...
Giuliano Armano, Giancarlo Cherchi, Eloisa Vargiu
NECO
2010
147views more  NECO 2010»
13 years 5 months ago
Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons
Abstract: Reservoir Computing (RC) systems are powerful models for online computations on input sequences. They consist of a memoryless readout neuron which is trained on top of a ...
Lars Büsing, Benjamin Schrauwen, Robert A. Le...