Novel visual computations
Novel visual computations
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Signature of an anticipatory response in area V1 as modeled by a probabilistic model and a spiking neural network
see Kaplan and al, 2014
Bernhard A Kaplan
,
Mina A Khoei
,
Anders Lansner
,
Laurent U Perrinet
Apr 25, 2014
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DOI
Axonal delays and on-time control of eye movements
Moving objects generate sensory information that may be noisy and ambiguous, yet it is important to be able to reconstruct object speed …
Laurent U Perrinet
Jan 10, 2014
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Grabbing, tracking and sniffing as models for motion detection and eye movements
Moving objects generate sensory information that may be noisy and ambiguous, yet it is important to be able to reconstruct object speed …
Laurent U Perrinet
Jan 27, 2012
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Motion-based prediction is sufficient to solve the aperture problem
In low-level sensory systems, it is still unclear how the noisy information collected locally by neurons may give rise to a coherent …
Laurent U Perrinet
Jan 12, 2012
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Propriétés émergentes d'un modèle de prédiction probabiliste utilisant un champ neural
Sensory informations such as visual images are inherently variable. We use probabilistic models to describe how the low-level visual …
Laurent U Perrinet
Jul 2, 2011
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Probabilistic models of the low-level visual system: the role of prediction in detecting motion
Sensory informations such as visual images are inherently variable. We use probabilistic models to describe how the low-level visual …
Laurent U Perrinet
Dec 17, 2010
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Models of low-level vision: linking probabilistic models and neural masses
see this more recent talk @ UCL, London
Laurent U Perrinet
,
Guillaume S Masson
Jan 8, 2010
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