Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Aljoscha Leonhardt"'
Publikováno v:
PLoS ONE, Vol 12, Iss 12, p e0189019 (2017)
Optical illusions provide powerful tools for mapping the algorithms and circuits that underlie visual processing, revealing structure through atypical function. Of particular note in the study of motion detection has been the reverse-phi illusion. Wh
Externí odkaz:
https://doaj.org/article/ee347c9218964deb8c8f179dc969285f
Publikováno v:
The Journal of experimental biology. 224(14)
Visual motion detection is among the best understood neuronal computations. As extensively investigated in tethered flies, visual motion signals are assumed to be crucial to detect and counteract involuntary course deviations. During free flight, how
Visual motion detection is among the best understood neuronal computations. One assumed behavioural role is to detect self-motion and to counteract involuntary course deviations, extensively investigated in tethered walking or flying flies. In free f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c150c9819fbb587120b67d4beaeb20b
https://doi.org/10.1101/2020.12.16.423059
https://doi.org/10.1101/2020.12.16.423059
Autor:
Michael S. Drews, Nadezhda Pirogova, Alexander Borst, Lukas Braun, Florian Richter, Anna Schuetzenberger, Etienne Serbe, Aljoscha Leonhardt
Publikováno v:
Current Biology
Summary Sensory systems need to reliably extract information from highly variable natural signals. Flies, for instance, use optic flow to guide their course and are remarkably adept at estimating image velocity regardless of image statistics. Current
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f8f44b352935e5e8469090b8352a848
https://hdl.handle.net/21.11116/0000-0006-D0F3-C21.11116/0000-0006-D0F4-B21.11116/0000-0005-BD90-321.11116/0000-0005-BD92-1
https://hdl.handle.net/21.11116/0000-0006-D0F3-C21.11116/0000-0006-D0F4-B21.11116/0000-0005-BD90-321.11116/0000-0005-BD92-1
Publikováno v:
Development (Cambridge, England)
Development
Development
In the Drosophila visual system, T4/T5 neurons represent the first stage of computation of the direction of visual motion. T4 and T5 neurons exist in four subtypes, each responding to motion in one of the four cardinal directions and projecting axons
Publikováno v:
Nature Neuroscience. 19:706-715
The reliable estimation of motion across varied surroundings represents a survival-critical task for sighted animals. How neural circuits have adapted to the particular demands of natural environments, however, is not well understood. We explored thi
Publikováno v:
Neuron. 89:829-841
Estimating motion is a fundamental task for the visual system of sighted animals. In Drosophila, direction-selective T4 and T5 cells respond to moving brightness increments (ON) and decrements (OFF), respectively. Current algorithmic models of the ci
Autor:
Aljoscha Leonhardt, Dierk F. Reiff, Matthias Meier, Georg Ammer, Juergen Haag, Etienne Serbe, Barry J. Dickson, Gerald M. Rubin, Armin Bahl, Alexander Borst, Tabea Schilling, Aljoscha Nern, Matthew S. Maisak, Elisabeth Hopp
Publikováno v:
Nature. 500:212-216
The extraction of directional motion information from changing retinal images is one of the earliest and most important processing steps in any visual system. In the fly optic lobe, two parallel processing streams have been anatomically described, le
Autor:
Aljoscha Leonhardt, Andrey Sobolev, Christian Kellner, Philipp L. Rautenberg, Christian Garbers, Thomas Wachtler, Adrian Stoewer
Publikováno v:
Frontiers in Neuroinformatics, Vol 8 (2014)
Frontiers in Neuroinformatics
Frontiers in Neuroinformatics
Recent advancements in technology and methodology have led to growing amounts of increasingly complex neuroscience data recorded from various species, modalities, and levels of study. The rapid data growth has made efficient data access and flexible,
Publikováno v:
Current Biology. (17):2247-2253
SummaryDetecting the direction of visual movement is fundamental for every sighted animal in order to navigate, avoid predators, or detect conspecifics. Algorithmic models of correlation-type motion detectors describe the underlying computation remar