Zobrazeno 1 - 10
of 245
pro vyhledávání: '"H. J. Reitboeck"'
Publikováno v:
Neurocomputing. 11:123-134
We propose a neural network for object definition and scene segmentation via temporal signal correlations. The network consists of model neurons with a dynamic threshold and with two functionally different types of synapses. Activities of model neuro
Publikováno v:
Neural Computation. 2:293-307
We recently discovered stimulus-specific interactions between cell assemblies in cat primary visual cortex that could constitute a global linking principle for feature associations in sensory and motor systems: stimulus-induced oscillatory activities
Publikováno v:
Computer Analysis of Images and Patterns ISBN: 9783540634607
CAIP
CAIP
The performance of technical and biological vision systems crucially relies on powerful processing capabilities. Robust object recognition must be based on representations of segmented object candidates which are kept stable and sparse despite the hi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4eb1df9c6dacfa2615b8e9b2fe5e009a
https://doi.org/10.1007/3-540-63460-6_135
https://doi.org/10.1007/3-540-63460-6_135
Autor:
Michael Stoecker, H. J. Reitboeck
Publikováno v:
International journal of neural systems. 7(6)
We present an approach for position invariant recognition of individual objects in composite scenes, combining neural networks and algorithmic methods. A dynamic network of spiking neurons is used to generate object definition and figure/ground separ
Publikováno v:
Behavioral science. 38(2)
Neurophysiological studies have recently identified a pattern of synchronized slow-wave activity in the visual cortex which characteristically encompasses groups of neurons activated by similar or closely related stimulus attributes. This slow-wave a
Publikováno v:
Induced Rhythms in the Brain ISBN: 9781475712834
Our models of visual information processing are based on the hypothesis that synchronized activities of sensory neurons serve to define perceptual relations: the features represented by the synchronized neurons are assumed to be linked and, thus, int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b682a4aaf97166b2c23f1168d11ce0d
https://doi.org/10.1007/978-1-4757-1281-0_22
https://doi.org/10.1007/978-1-4757-1281-0_22
Publikováno v:
Neural Network Dynamics ISBN: 9783540197713
A visual object ‘pops out’ against the background, if its local features have a high degree of perceptual coherence: the object’s local features are linked by the visual system into a perceptual whole. A neuronal mechanism for such preattentive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4c70f0a1936e8c5129c37a87c57eff4
https://doi.org/10.1007/978-1-4471-2001-8_10
https://doi.org/10.1007/978-1-4471-2001-8_10
Autor:
R. Eckhorn, H. J. Reitboeck
Publikováno v:
Springer Series in Synergetics ISBN: 9783642487811
Correlations of neural signals have repeatedly been proposed to play a central role in sensory processing (e.g./1–6/). These hypotheses were recently supported by the discovery of stimulus-induced synchronizations of oscillatory neural activities i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c832e3c72f98c5b4863aea529ae1f18
https://doi.org/10.1007/978-3-642-48779-8_6
https://doi.org/10.1007/978-3-642-48779-8_6
Publikováno v:
Springer Series in Synergetics ISBN: 9783642487811
Based on our neurophysiological findings, we developed a neural network model that performs feature linking via modulatory interactions. In the linked state, the activities of the model neurons are highly synchronized. The model’s performance is de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cf247468e0a28a4abd04d4ebb3b9515
https://doi.org/10.1007/978-3-642-48779-8_7
https://doi.org/10.1007/978-3-642-48779-8_7
Autor:
J Altmann, H. J. Reitboeck
Publikováno v:
Biological Cybernetics. 51:113-121
The mapping of retinal space onto the striate cortex of some mammals can be approximated by a log-polar function. It has been proposed that this mapping is of functional importance for scale- and rotation-invariant pattern recognition in the visual s