161
Voted
IEEEICCI
2009
IEEE
15 years 1 months ago
2009
IEEE
Abstract-In this paper, we construct a neural-inspired computational model based on the representational capabilities of receptive fields. The proposed model, known as Shape Encodi...
147
Voted
NECO
1998
15 years 3 months ago
1998
We introduce a constructive, incremental learning system for regression problems that models data by means of spatially localized linear models. In contrast to other approaches, t...
116
Voted
COGSCI
2004
15 years 3 months ago
2004
This article presents a review of reverse correlation in neurophysiology. We discuss the basis of reverse correlation in linear transducers and in spiking neurons. The application...
136
Voted
BC
2004
15 years 3 months ago
2004
Abstract. The question of why the receptive fields of simple cells in the primary visual cortex are Gabor-like is a crucial one in vision research. Many research efforts (Olshausen...
114
Voted
NIPS
1990
15 years 4 months ago
1990
Previous work (M.I. Sereno, 1989; cf. M.E. Sereno, 1987) showed that a feedforward network with area V1-like input-layer units and a Hebb rule can develop area MT-like second laye...
125
Voted
ESANN
2003
15 years 5 months ago
2003
: -RetinotopicNET is an efficient simulator for neural networks with retinotopic-like receptive fields. The system has two main characteristics: it is event-driven and it takes adv...