632 search results - page 24 / 127 » Computational Models of Neural Representations in the Human ... |
IPMI
2005
Springer
14 years 8 months ago
2005
Springer
Modeling the variability of brain structures is a fundamental problem in the neurosciences. In this paper, we start from a dataset of precisely delineated anatomical structures in ...
WAPCV
2004
Springer
14 years 25 days ago
2004
Springer
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
BC
2005
13 years 7 months ago
2005
Abstract Weproposeacomputationalmodelofcontourintegration for visual saliency. The model uses biologically plausible devices to simulate how the representations of elements aligned...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
We propose a novel, fast and robust technique for the computation of anatomical connectivity in the brain. Our approach exploits the information provided by Diffusion Tensor Magne...
NN
2008
Springer
13 years 7 months ago
2008
Springer
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...