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» Neural Networks and Complexity Theory
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2004
Springer
15 years 9 months ago
Towards Cortex Sized Artificial Nervous Systems
We characterize the size and complexity of the mammalian cortices of human, macaque, cat, rat, and mouse. We map the cortical structure onto a Bayesian confidence propagating neura...
Christopher Johansson, Anders Lansner
JDCTA
2010
160views more  JDCTA 2010»
14 years 11 months ago
Learning and Decision Making in Human During a Game of Matching Pennies
To gain insights into the neural basis of such adaptive decision-making processes, we investigated the nature of learning process in humans playing a competitive game with binary ...
Jianfeng Hu, Xiaofeng Li, Jinghai Yin
GIS
2009
ACM
15 years 8 months ago
Dynamic network data exploration through semi-supervised functional embedding
The paper presents a framework for semi-supervised nonlinear embedding methods useful for exploratory analysis and visualization of spatio-temporal network data. The method provid...
Alexei Pozdnoukhov
ICANN
1997
Springer
15 years 8 months ago
Topology Representing Networks for Intrinsic Dimensionality Estimation
Abstract. In this paper we compare two methods for intrinsic dimensionality (ID) estimation based on optimally topology preserving maps (OTPMs). The rst one is a direct approach, w...
Jörg Bruske, Gerald Sommer
ICC
2007
IEEE
158views Communications» more  ICC 2007»
15 years 10 months ago
Cooperative Game Theory for Distributed Spectrum Sharing
— There is a need for new spectrum access protocols that are opportunistic, flexible and efficient, yet fair. Game theory provides a framework for analyzing spectrum access, a ...
Juan E. Suris, Luiz A. DaSilva, Zhu Han, Allen B. ...