Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Laurent U Perrinet"'
Publikováno v:
PLoS Computational Biology, Vol 19, Iss 9, p e1011459 (2023)
Growing evidence indicates that only a sparse subset from a pool of sensory neurons is active for the encoding of visual stimuli at any instant in time. Traditionally, to replicate such biological sparsity, generative models have been using the ℓ1
Externí odkaz:
https://doaj.org/article/e7f76c7342d74bbda6d777de4b443ade
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 7, p e1010270 (2022)
Neurons in the primary visual cortex are selective to orientation with various degrees of selectivity to the spatial phase, from high selectivity in simple cells to low selectivity in complex cells. Various computational models have suggested a possi
Externí odkaz:
https://doaj.org/article/eaf3823fe4b8401daf7fa762d590e129
Publikováno v:
PLoS Computational Biology, Vol 13, Iss 1, p e1005068 (2017)
Due to its inherent neural delays, the visual system has an outdated access to sensory information about the current position of moving objects. In contrast, living organisms are remarkably able to track and intercept moving objects under a large ran
Externí odkaz:
https://doaj.org/article/224677b7ba464e44b432db7e21acc710
Autor:
Jens eKremkow, Laurent U Perrinet, Cyril eMonier, Jose-Manuel eAlonso, Ad eAertsen, Yves eFregnac, Guillaume S Masson
Publikováno v:
Frontiers in Neural Circuits, Vol 10 (2016)
Neurons in the primary visual cortex are known for responding vigorously but with high variability to classical stimuli such as drifting bars or gratings. By contrast, natural scenes are encoded more efficiently by sparse and temporal precise spiking
Externí odkaz:
https://doaj.org/article/d13738f1538b40f0826876e6d7fbfab2
Publikováno v:
Frontiers in Computational Neuroscience, Vol 7 (2013)
Predictive coding hypothesizes that the brain explicitly infers upcoming sensory input to establish a coherent representation of the world. Although it is becoming generally accepted, it is not clear on which level spiking neural networks may impleme
Externí odkaz:
https://doaj.org/article/db97a0f0bfd14d62bf22805370d1a2d0
Autor:
Nicole eVoges, Laurent U Perrinet
Publikováno v:
Frontiers in Computational Neuroscience, Vol 6 (2012)
Most studies on the dynamics of recurrent cortical networks are either based on purely random wiring or neighborhood couplings. Neuronal cortical connectivity, however, shows a complex spatial pattern composed of local and remote patchy connections.
Externí odkaz:
https://doaj.org/article/7f3899ec7e1147ec90f6bf8af9e0badd
Publikováno v:
PLoS ONE, Vol 7, Iss 10, p e47502 (2012)
This paper introduces a model of oculomotor control during the smooth pursuit of occluded visual targets. This model is based upon active inference, in which subjects try to minimise their (proprioceptive) prediction error based upon posterior belief
Externí odkaz:
https://doaj.org/article/9ddb96f428a6484490371016fe838aca
Publikováno v:
Vision; Volume 7; Issue 2; Pages: 29
Vision
Vision, 2023, 7 (2), pp.29. ⟨10.3390/vision7020029⟩
Vision
Vision, 2023, 7 (2), pp.29. ⟨10.3390/vision7020029⟩
International audience; Humans are able to categorize images very efficiently, in particular to detect the presence of an animal very quickly. Recently, deep learning algorithms based on convolutional neural networks (CNNs) have achieved higher than
Autor:
Antoine Grimaldi, Amélie Gruel, Camille Besnainou, Jean-Nicolas Jérémie, Jean Martinet, Laurent U. Perrinet
Publikováno v:
Brain Sciences
Brain Sciences, 2022, 13 (1), pp.68. ⟨10.3390/brainsci13010068⟩
Brain Sciences, 2022, 13 (1), pp.68. ⟨10.3390/brainsci13010068⟩
International audience; Why do neurons communicate through spikes? By definition, spikes are all-or-none neural events which occur at continuous times. In other words, spikes are on one side binary, existing or not without further details, and on the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d656876abb4421a38d554b17c3f397f5
https://amu.hal.science/hal-03918338/file/brainsci-13-00068.pdf
https://amu.hal.science/hal-03918338/file/brainsci-13-00068.pdf
Autor:
Antoine Grimaldi, Laurent U Perrinet
Publikováno v:
IEEE International Conference on Image Processing (ICIP)
IEEE International Conference on Image Processing (ICIP), Oct 2022, Bordeaux, France. pp.3591-3595, ⟨10.1109/ICIP46576.2022.9897394⟩
IEEE International Conference on Image Processing (ICIP), Oct 2022, Bordeaux, France. pp.3591-3595, ⟨10.1109/ICIP46576.2022.9897394⟩
The response of a biological neuron depends on the precise timing of afferent spikes. This temporal aspect of the neuronal code is essential in understanding information processing in neurobiology and applies particularly well to the output of neurom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b43f34e6ee93cd27f250824aad244c08
https://hal.science/hal-03934188/file/2022-07-11_Grimaldi-etal-ICIP.pdf
https://hal.science/hal-03934188/file/2022-07-11_Grimaldi-etal-ICIP.pdf