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ESANN
1998
15 years 8 months ago
A self-organising neural network for modelling cortical development
This paper presents a novel self-organising neural network. It has been developed for use as a simpli ed model of cortical development. Unlike many other models of topological map...
Michael W. Spratling, Gillian Hayes
NIPS
1998
15 years 8 months ago
Global Optimisation of Neural Network Models via Sequential Sampling
We propose a novel strategy for training neural networks using sequential Monte Carlo algorithms. This global optimisation strategy allows us to learn the probability distribution...
João F. G. de Freitas, Mahesan Niranjan, Ar...
HAIS
2008
Springer
15 years 7 months ago
An Evolutionary Approach for Tuning Artificial Neural Network Parameters
The widespread use of artificial neural networks and the difficult work regarding the correct specification (tuning) of parameters for a given problem are the main aspects that mot...
Leandro M. Almeida, Teresa Bernarda Ludermir
IEICET
2007
75views more  IEICET 2007»
15 years 6 months ago
An Inhibitory Neural-Network Circuit Exhibiting Noise Shaping with Subthreshold MOS Neuron Circuits
We designed subthreshold analog MOS circuits implementing an inhibitory network model that performs noise-shaping pulse-density modulation with noisy neural elements. Our aim is t...
Akira Utagawa, Tetsuya Asai, Tetsuya Hirose, Yoshi...
IJCNN
2008
IEEE
16 years 1 months ago
A connection-limited neural network by InfoMax and InfoMin
— It is well known that edge filters in the visual system can be generated by the InfoMax principle. But, such models are nonlinear and employ fully-connected network structures...
Yoshitatsu Matsuda, Kazunori Yamaguchi