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» Modeling spiking neural networks
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132
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CEC
2009
IEEE
15 years 10 months ago
JubiTool: Unified design flow for the Perplexus SIMD hardware accelerator
This paper presents a new unified design flow developed within the Perplexus project that aims to accelerate parallelizable data-intensive applications in the context of ubiquitous...
Olivier Brousse, Jérémie Guillot, Th...
126
Voted
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...
WWW
2004
ACM
16 years 6 months ago
Information diffusion through blogspace
We study the dynamics of information propagation in environments of low-overhead personal publishing, using a large collection of weblogs over time as our example domain. We chara...
Daniel Gruhl, Ramanathan V. Guha, David Liben-Nowe...
ITCC
2005
IEEE
15 years 11 months ago
Real Stock Trading Using Soft Computing Models
The main focus of this study is to compare different performances of soft computing paradigms for predicting the direction of individuals stocks. Three different artificial intell...
Brent Doeksen, Ajith Abraham, Johnson P. Thomas, M...
227
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ICANN
2011
Springer
14 years 9 months ago
Robot Trajectory Prediction and Recognition Based on a Computational Mirror Neurons Model
Mirror neurons are premotor neurons that are considered to play a role in goal-directed actions, action understanding and even social cognition. As one of the promising research ar...
Junpei Zhong, Cornelius Weber, Stefan Wermter