Olivier Marre
@RetinaGeek
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Interested in retinal circuits and computations, vision and neuroscience. Researcher at the @InstVisionParis @[email protected]
Paris, France
Joined September 2018
Please RT: postdoc positions open in the lab to work on a @ERC_Research -funded project on retinal circuits and computations. Don't hesitate to DM or email me for details.
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New blog post: What chess (may have) taught me about neuroscience.
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RT @mameister4: Have you had private doubts whether we'll ever understand the brain? Whether we'll be able explain psychological phenomena….
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RT @NEIDirector: New research out of @UniBonn (Germany) finds that rapid eye movements may optimize sharp vision and help us detect small d….
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RT @leafs_s: Nature Reviews Neuroscience . How deep is the brain? The shallow brain hypothesis.
nature.com
Nature Reviews Neuroscience - Architectures in neural networks commonly assume that inference is hierarchical. In this Perspective, Suzuki et al. present the shallow brain hypothesis, a neural...
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RT @qbilius: A lot to learn from @eric_is_weird's post on the problem selection processes at Bell Labs: My thoughts….
freaktakes.com
Alternative Title: Why all applied research organizations should hire a Bell-style systems engineer
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RT @AnnaIntegrated: Our paper "GABAergic amacrine cells balance biased chromatic information in the mouse retina" is now published in @Cell….
cell.com
Mouse photoreceptors establish a dorsal-ventral chromatic gradient that is attenuated at the retinal output. Korympidou et al. explore how dendrites of inhibitory amacrine cells in the mouse retina...
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RT @Saturnin_FR: 🔴 Réduction de la dépense publique : peut-on mettre les retraités à contribution ?.➡️ Oui, et je vous explique pourquoi da….
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RT @SebastianSeung: It is conceivable that neural nets could ultimately be superseded by some new approach to vision derived from "understa….
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RT @SebastianSeung: You can't understand Marr's levels without knowing the historical context. In fact, if you stop to think about it, Marr….
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RT @NeuroFishh: New collaborative @bioRxiv alert, with @TommasiniDario, @shekharlab and @TaYoshimatsu about the molecular and evolutionary….
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RT @SussilloDavid: No, AI Has Not Killed Marr's Three Levels, It’s Merely Maimed Them (Consider me triggered. 😂🤣). The rapid advancement of….
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RT @SteveStuWill: Tinbergen’s Four Questions. To understand any evolved behaviour (e.g., singing in birds), we need to understand:. 1. Mech….
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I don't know if they are dead but apparently they are still good enough to trigger a tweetstorm.
Marr's three levels are dead. AI killed them.
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RT @NEIDirector: From @UniBonn (Germany): micro-saccades may help the eye place areas of visual interest on regions of the fovea with the g….
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RT @Pieters_Tweet: Paolo Papale et al. find that the representation of borders of objects in natural scenes are special in the visual brain….
pnas.org
The visual system needs to identify perceptually relevant borders to segment complex natural scenes. The primary visual cortex (V1) is thought to e...
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RT @DevelopmentalDy: The #retina develops from a pool of retinal #progenitor cells into six #neuronal and one #glial cell type whose cell b….
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RT @DevelopmentalDy: The Art of Science - Cover of Developmental Dynamics. Isl1/2+ ganglion and amacrine cells (green) and Caspase-3+ (red)….
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RT @johannbrehmer: Does equivariance matter when you have lots of data and compute?. In a new paper with Sönke Behrends, @pimdehaan, and @T….
arxiv.org
Given large datasets and sufficient compute, is it beneficial to design neural architectures for the structure and symmetries of each problem? Or is it more efficient to learn them from data? We...
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RT @rafeequemavoor: Free scientific illustrations for biologists! 😍. @NIH has released a library of 500+ free scientific illustrations to….
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