Next-generation neural computations
Next-generation neural computations
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Statistics of Natural Images
Push-Pull Receptive Field Organization and Synaptic Depression: Mechanisms for Reliably Encoding Naturalistic Stimuli in V1
Neurons in the primary visual cortex are known for responding vigorously but with high variability to classical stimuli such as …
Jens Kremkow
,
Laurent U Perrinet
,
Cyril Monier
,
Jose-Manuel Alonso
,
Ad M Aertsen
,
Yves Frégnac
,
Guillaume S Masson
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HAL
Sparse Coding Of Natural Images Using A Prior On Edge Co-Occurences
Oriented edges in images of natural scenes tend to be aligned in co-linear or co-circular arrangements, with lines and smooth curves …
Laurent U Perrinet
,
James A Bednar
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Relationship between natural image statistics and lateral connectivity in the primary visual cortex
see a follow-up: Laurent U Perrinet, James A Bednar (2015). Edge co-occurrences can account for rapid categorization of natural versus animal images. Scientific Reports. Cite DOI Code URL HAL
P Philipp Rudiger
,
Jean-Luc Stevens
,
Bharath Chandra Talluri
,
Laurent U Perrinet
,
James A Bednar
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Role of homeostasis in learning sparse representations
Neurons in the input layer of primary visual cortex in primates develop edge-like receptive fields. One approach to understanding the …
Laurent U Perrinet
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arXiv
Coding static natural images using spiking event times: do neurons cooperate?
To understand possible strategies of temporal spike coding in the central nervous system, we study functional neuromimetic models of …
Laurent U Perrinet
,
Manuel Samuelides
,
Simon Thorpe
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arXiv
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