Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Ursula Körner"'
Publikováno v:
PLoS ONE, Vol 9, Iss 5, p e96485 (2014)
Although already William James and, more explicitly, Donald Hebb's theory of cell assemblies have suggested that activity-dependent rewiring of neuronal networks is the substrate of learning and memory, over the last six decades most theoretical work
Externí odkaz:
https://doaj.org/article/bb2d476b5b4944e5be1b17a7a3ddf0eb
Autor:
Ingo Fründ, Niko A Busch, Jeanette Schadow, Thomas Gruber, Ursula Körner, Christoph S Herrmann
Publikováno v:
PLoS ONE, Vol 3, Iss 2, p e1675 (2008)
BACKGROUND: Reactions to sensory events sometimes require quick responses whereas at other times they require a high degree of accuracy-usually resulting in slower responses. It is important to understand whether visual processing under different res
Externí odkaz:
https://doaj.org/article/fcc2bc1901b44b8abb11cbc00f3d83b1
Publikováno v:
Cognitive Computation
Most current approaches to scene understanding lack the capability to adapt object and situation models to behavioral needs not anticipated by the human system designer. Here, we give a detailed description of a system architecture for self-referenti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d6943a9ae5c93179b42d7bb0170f371
http://europepmc.org/articles/PMC4981634
http://europepmc.org/articles/PMC4981634
Autor:
Daniel Lenz, Christoph Herrmann, Ingo Fründ, Daniel Strüber, Jeanette Schadow, Stefan Rach, Nicole Naue, Ursula Körner
Publikováno v:
NeuroImage. 55:808-817
Previous studies showed higher gamma-band responses (GBRs, ≈ 40 Hz) of the electroencephalogram (EEG) for moving compared to stationary stimuli. However, it is unclear whether this modulation by motion reflects a special responsiveness of the GBR t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f19b49c47883ba70aab535ec5d18bca1
https://doi.org/10.1016/j.neuroimage.2010.11.053
https://doi.org/10.1016/j.neuroimage.2010.11.053
Publikováno v:
Neurocomputing. 70:1838-1842
This work presents first simulation results substantiating a previously proposed conceptual model of computation in neocortical architecture [E. Korner, M.-O. Gewaltig, U. Korner, A. Richter, T. Rodemann, A model of computation in neocortical archite
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6a17eebf3354d1dafa872684660e415
https://doi.org/10.1016/j.neucom.2006.10.092
https://doi.org/10.1016/j.neucom.2006.10.092
Publikováno v:
Neurocomputing. 70:1711-1716
We describe the simulation of a layered cortex model based on the cortical column as a generic local processor. It simulates the signal flow in the layers I-IV of a set of model columns across three hierarchical cortical areas. It demonstrates the fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce305842f176f3bafb0845465454f5e9
https://doi.org/10.1016/j.neucom.2006.10.085
https://doi.org/10.1016/j.neucom.2006.10.085
Publikováno v:
Clinical Neurophysiology. 118:221-227
Objective Evoked, phase-locked γ oscillations of the electroencephalogram (EEG) have been demonstrated to be modulated by both bottom-up as well as top-down factors. However, to date the test–retest reliability of these oscillations has not been s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::142880246f0231a3cac44817625aa4fd
https://doi.org/10.1016/j.clinph.2006.09.013
https://doi.org/10.1016/j.clinph.2006.09.013
Publikováno v:
Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB)
Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB), Sep 2015, Providence, United States. ⟨10.1109/DEVLRN.2015.7346155⟩
Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB), Sep 2015, Providence, United States. 2015, 〈10.1109/DEVLRN.2015.7346155〉
ICDL-EPIROB
Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB), Sep 2015, Providence, United States. ⟨10.1109/DEVLRN.2015.7346155⟩
Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB), Sep 2015, Providence, United States. 2015, 〈10.1109/DEVLRN.2015.7346155〉
ICDL-EPIROB
International audience; We propose an incremental, highly parallelizable, and constant-time complexity neural learning architecture for multi-class classification (and regression) problems that remains resource-efficient even when the number of input
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b9ea9f29016fe28917592cf689f945b
https://hal.science/hal-01250961/document
https://hal.science/hal-01250961/document
Publikováno v:
Neurocomputing. :189-194
Spike-time-based models of visual processing often cover only a few spike waves. This disregards the continuous character of visual processing and the fact that the visual field is scanned by series of saccades to different fixation points. Thus, som
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::065c1b0d389c2d23a80fc4b88f93e7f8
https://doi.org/10.1016/j.neucom.2004.10.006
https://doi.org/10.1016/j.neucom.2004.10.006
Publikováno v:
Neurocomputing. :519-524
In this contribution we propose that surface detectors, responding to areas of homogeneous gray-level may be used to support orientation selective cells in V1. By inhibiting orientation detectors within their input region, surface detectors act as lo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a6b8acf62be5c6cad54e7048a726810
https://doi.org/10.1016/s0925-2312(02)00767-1
https://doi.org/10.1016/s0925-2312(02)00767-1