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ENGL
2007
89views more  ENGL 2007»
14 years 10 months ago
Similarity-based Heterogeneous Neural Networks
This research introduces a general class of functions serving as generalized neuron models to be used in artificial neural networks. They are cast in the common framework of comp...
Lluís A. Belanche Muñoz, Julio Jose ...
NIPS
1997
14 years 12 months ago
Minimax and Hamiltonian Dynamics of Excitatory-Inhibitory Networks
A Lyapunov function for excitatory-inhibitory networks is constructed. The construction assumes symmetric interactions within excitatory and inhibitory populations of neurons, and...
H. Sebastian Seung, Tom J. Richardson, J. C. Lagar...
EPIA
2003
Springer
15 years 3 months ago
From Wheels to Wings with Evolutionary Spiking Circuits
We give an overview of the EPFL indoor flying project, whose goal is to evolve neural controllers for autonomous, adaptive, indoor micro-flyers. Indoor flight is still a challenge ...
Dario Floreano, Jean-Christophe Zufferey, Jean-Dan...
TCS
2008
14 years 10 months ago
Modeling spiking neural networks
A notation for the functional specification of a wide range of neural networks consisting of temporal or non-temporal neurons, is proposed. The notation is primarily a mathematica...
Ioannis D. Zaharakis, Achilles D. Kameas
TNN
1998
114views more  TNN 1998»
14 years 10 months ago
A new approach to artificial neural networks
: A novel approach to artificial neural networks is presented. The philosophy of this approach is based on two aspects: the design of task-specific networks, and a new neuron model...
Benedito Dias Baptista F. Filho, Eduardo Lobo Lust...