Sciweavers

NN
2008
Springer
201views Neural Networks» more  NN 2008»
13 years 11 months ago
Learning representations for object classification using multi-stage optimal component analysis
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Yiming Wu, Xiuwen Liu, Washington Mio
NN
2008
Springer
13 years 11 months ago
Some neural networks compute, others don't
I address whether neural networks perform computations in the sense of computability theory and computer science. I explicate and defend the following theses. (1) Many neural netw...
Gualtiero Piccinini
NN
2008
Springer
158views Neural Networks» more  NN 2008»
13 years 11 months ago
Improved mapping of information distribution across the cortical surface with the support vector machine
The early visual cortices represent information of several stimulus attributes, such as orientation and color. To understand the coding mechanisms of these attributes in the brain...
Youping Xiao, Ravi Rao, Guillermo A. Cecchi, Ehud ...
NN
2008
Springer
13 years 11 months ago
Two k-winners-take-all networks with discontinuous activation functions
This paper presents two k-winners-take-all (k-WTA) networks with discontinuous activation functions. The k-WTA operation is first converted equivalently into linear and quadratic ...
Qingshan Liu, Jun Wang
NN
2008
Springer
169views Neural Networks» more  NN 2008»
13 years 11 months ago
Modeling a flexible representation machinery of human concept learning
dely acknowledged that categorically organized abstract knowledge plays a significant role in high-order human cognition. Yet, there are many unknown issues about the nature of ho...
Toshihiko Matsuka, Yasuaki Sakamoto, Arieta Chouch...
NN
2008
Springer
13 years 11 months ago
Multilayer in-place learning networks for modeling functional layers in the laminar cortex
Currently, there is a lack of general-purpose in-place learning networks that model feature layers in the cortex. By "general-purpose" we mean a general yet adaptive hig...
Juyang Weng, Tianyu Luwang, Hong Lu, Xiangyang Xue
NN
2008
Springer
152views Neural Networks» more  NN 2008»
13 years 11 months ago
Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge
We organized a challenge for IJCNN 2007 to assess the added value of prior domain knowledge in machine learning. Most commercial data mining programs accept data pre-formatted in ...
Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C...
NN
2008
Springer
107views Neural Networks» more  NN 2008»
13 years 11 months ago
Sequential Bayesian kernel modelling with non-Gaussian noise
Nikolay Y. Nikolaev, Lilian M. de Menezes
NN
2008
Springer
153views Neural Networks» more  NN 2008»
13 years 11 months ago
A biologically motivated visual memory architecture for online learning of objects
We present a biologically motivated architecture for object recognition that is based on a hierarchical feature-detection model in combination with a memory architecture that impl...
Stephan Kirstein, Heiko Wersing, Edgar Körner
NN
2008
Springer
107views Neural Networks» more  NN 2008»
13 years 11 months ago
Impact of temporal coding of presynaptic entorhinal cortex grid cells on the formation of hippocampal place fields
Many behavioural experiments have pointed out the important role played by the hippocampus in spatial navigation. This role was enlightened by the discovery of hippocampal cells i...
Colin Molter, Yoko Yamaguchi