Novel visual computations
Novel visual computations
Home
Featured
Events
Projects
People
Publications
Talks
Grants
BlogBook
Contact
Light
Dark
Automatic
1
Motion-based prediction and development of the response to an 'on the way' stimulus
Based on Laurent U Perrinet, Guillaume S Masson (2012). Motion-based prediction is sufficient to solve the aperture problem. Neural Computation. Preprint PDF Cite see follow-up on motion extrapolation: Mina A Khoei, Guillaume S Masson, Laurent U Perrinet (2013).
Mina A Khoei
,
Giacomo Benvenuti
,
Frédéric Chavane
,
Laurent U Perrinet
PDF
Cite
DOI
Active inference, smooth pursuit and oculomotor delays
We consider the problem of sensorimotor delays in the optimal control of movement under uncertainty. Specifically, we consider axonal …
Laurent U Perrinet
,
Rick A Adams
,
Karl Friston
Cite
Effect of image statistics on fixational eye movements
Under natural viewing conditions, small movements of the eyes prevent the maintenance of a steady direction of gaze. It is unclear how …
Claudio Simoncini
,
Anna Montagnini
,
Laurent U Perrinet
,
Guillaume S Masson
PDF
Cite
DOI
Measuring speed of moving textures: Different pooling of motion information for human ocular following and perception.
To measure speed and direction of moving objects, the cortical motion system pools information across different spatiotemporal …
Claudio Simoncini
,
Laurent U Perrinet
,
Anna Montagnini
,
Pascal Mamassian
,
Guillaume S Masson
PDF
Cite
DOI
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 …
Guillaume S Masson
,
Laurent U Perrinet
PDF
Cite
Pattern discrimination for moving random textures: Richer stimuli are more difficult to recognize
In order to analyze the characteristics of a rich dynamic visual environment, the visual system must integrate information collected at …
Claudio Simoncini
,
Anna Montagnini
,
Laurent U Perrinet
,
Pascal Mamassian
,
Guillaume S Masson
PDF
Cite
DOI
Role of motion-based prediction in motion extrapolation
Based on Laurent U Perrinet, Guillaume S Masson (2012). Motion-based prediction is sufficient to solve the aperture problem. Neural Computation. Preprint PDF Cite see follow-up on motion extrapolation: Mina A Khoei, Guillaume S Masson, Laurent U Perrinet (2013).
Mina A Khoei
,
Laurent U Perrinet
,
Guillaume S Masson
PDF
Cite
Pattern discrimination for moving random textures: Richer stimuli are more difficult to recognize
In order to analyze the characteristics of a rich dynamic visual environment, the visual system must integrate information collected at …
Claudio Simoncini
,
Anna Montagnini
,
Laurent U Perrinet
,
Pascal Mamassian
,
Guillaume S Masson
PDF
Cite
DOI
Edge statistics in natural images versus laboratory animal environments: implications for understanding lateral connectivity in V1
Oriented edges in images of natural scenes tend to be aligned in collinear or co-circular arrangements, with lines and smooth curves …
Laurent U Perrinet
,
David Fitzpatrick
,
James A Bednar
PDF
Cite
Role of motion inertia in dynamic motion integration for smooth pursuit
Based on Laurent U Perrinet, Guillaume S Masson (2012). Motion-based prediction is sufficient to solve the aperture problem. Neural Computation. Preprint PDF Cite see follow-up on motion extrapolation: Mina A Khoei, Guillaume S Masson, Laurent U Perrinet (2013).
Mina A Khoei
,
Laurent U Perrinet
,
Amarender Bogadhi
,
Anna Montagnini
,
Guillaume S Masson
PDF
Cite
Diffraction monochromatique, spectre audiographique
En perception, les neurones « parlent » tous en même temps par de brèves impulsions électrochimiques, générant un mélange de signaux, …
Laurent U Perrinet
Apr 14, 2010
PDF
Cite
Project
Project
A recurrent Bayesian model of dynamic motion integration for smooth pursuit
Amarender Bogadhi
,
Anna Montagnini
,
Pascal Mamassian
,
Laurent U Perrinet
,
Guillaume S Masson
PDF
Cite
DOI
Different pooling of motion information for perceptual speed discrimination and behavioral speed estimation
Claudio Simoncini
,
Laurent U Perrinet
,
Anna Montagnini
,
Pascal Mamassian
,
Guillaume S Masson
Cite
Dynamical emergence of a neural solution for motion integration
Based on Laurent U Perrinet, Guillaume S Masson (2012). Motion-based prediction is sufficient to solve the aperture problem. Neural Computation. Preprint PDF Cite see follow-up on motion extrapolation: Mina A Khoei, Guillaume S Masson, Laurent U Perrinet (2013).
Mina A Khoei
,
Laurent U Perrinet
,
Guillaume S Masson
PDF
Cite
Dynamical emergence of a neural solution for motion integration
Laurent U Perrinet
,
Guillaume S Masson
Cite
Phase space analysis of networks based on biologically realistic parameters
We study cortical network dynamics for a more realistic network model. It represents, in terms of spatial scale, a large piece of …
Nicole Voges
,
Laurent U Perrinet
Cite
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
PDF
Cite
Peut-on parler d'intelligence mécanique?
Nous parlerons de cette partie "mécanique" du cerveau animal ou humain qui permet de percevoir les mouvements et de … …
Laurent U Perrinet
,
Thierry Vieville
Nov 24, 2009
PDF
Cite
Project
DOI
Decoding center-surround interactions in population of neurons for the ocular following response
Short presentation of a large moving pattern elicits an Ocular Following Response (OFR) that exhibits many of the properties attributed …
Laurent U Perrinet
,
Nicole Voges
,
Jens Kremkow
,
Guillaume S Masson
Cite
Dynamical state spaces of cortical networks representing various horizontal connectivities
Most studies of cor tical network dynamics are either based on purely random wiring or neighborhood couplings, e.g., [Kumar, Schrader, …
Nicole Voges
,
Laurent U Perrinet
Cite
Dynamics of cortical networks including long-range patchy connections
Most studies of cortical network dynamics are either based on purely random wiring or neighborhood couplings [1], focussing on a rather …
Nicole Voges
,
Laurent U Perrinet
Cite
Functional consequences of correlated excitation and inhibition on single neuron integration and signal propagation through synfire chains
Neurons receive a large number of excitatory and inhibitory synaptic inputs whose temporal interplay determines their spiking behavior. …
Jens Kremkow
,
Laurent U Perrinet
,
Guillaume S Masson
,
Ad M Aertsen
Cite
Inferring monkey ocular following responses from V1 population dynamics using a probabilistic model of motion integration
Short presentation of a large moving pattern elicits an ocular following response that exhibits many of the properties attributed to …
Laurent U Perrinet
,
Alexandre Reynaud
,
Frédéric Chavane
,
Guillaume S Masson
Cite
NeuralEnsemble: Towards a meta-environment for network modeling and data analysis
NeuralEnsemble (
http://neuralensemble.org
) is a multilateral effort to coordinate and organise neuroscience software development …
Pierre Yger
,
Daniel Bruderle
,
Jochen Eppler
,
Jens Kremkow
,
Dejan Pecevski
,
Laurent U Perrinet
,
Michael Schmuker
,
Eilif Muller
,
Andrew P Davison
Cite
Project
Analyzing cortical network dynamics with respect to different connectivity assumptions
Based on Nicole Voges, Laurent U Perrinet (2010). Phase space analysis of networks based on biologically realistic parameters. Journal of Physiology-Paris. PDF Cite DOI see follow-up : Nicole Voges, Laurent U Perrinet (2012).
Nicole Voges
,
Laurent U Perrinet
Cite
Functional properties of feed-forward inhibition
see this subsequent paper in the Journal of Computational Neuroscience
Jens Kremkow
,
Laurent U Perrinet
,
Ad M Aertsen
,
Guillaume S Masson
Cite
Adaptive Sparse Spike Coding : applications of Neuroscience to the compression of natural images
If modern computers are sometimes superior to cognition in some specialized tasks such as playing chess or browsing a large database, …
Laurent U Perrinet
Preprint
PDF
Cite
Control of the temporal interplay between excitation and inhibition by the statistics of visual input: a V1 network modelling study
In the primary visual cortex (V1), single cell responses to simple visual stimuli (gratings) are usually dense but with a high …
Jens Kremkow
,
Laurent U Perrinet
,
Pierre Baudot
,
Manu Levy
,
Olivier Marre
,
Cyril Monier
,
Yves Fregnac
,
Guillaume S Masson
,
Ad M Aertsen
Cite
Decoding the population dynamics underlying ocular following response using a probabilistic framework
The machinery behind the visual perception of motion and the subsequent sensorimotor transformation, such as in Ocular Following …
Laurent U Perrinet
,
Guillaume S Masson
Cite
Dynamics of cortical networks based on patchy connectivity patterns
Based on Nicole Voges, Laurent U Perrinet (2010). Phase space analysis of networks based on biologically realistic parameters. Journal of Physiology-Paris. PDF Cite DOI see follow-up : Nicole Voges, Laurent U Perrinet (2012).
Nicole Voges
,
Jens Kremkow
,
Laurent U Perrinet
Cite
Modeling spatial integration in the ocular following response to center-surround stimulation using a probabilistic framework
Laurent U Perrinet
,
Guillaume S Masson
Cite
What adaptive code for efficient spiking representations? A model for the formation of receptive fields of simple cells
Laurent U Perrinet
PDF
Cite
Synchrony in thalamic inputs enhances propagation of activity through cortical layers
see this subsequent paper in the Journal of Computational Neuroscience
Jens Kremkow
,
Laurent U Perrinet
,
Arvind Kumar
,
Ad M Aertsen
,
Guillaume S Masson
PDF
Cite
DOI
Dynamic inference for motion tracking
When the visual information about an object’s motion differs at the local level, the visuomotor system needs to integrate …
Anna Montagnini
,
Pascal Mamassian
,
Laurent U Perrinet
,
Eric Castet
,
Guillaume S Masson
Cite
Neural Codes for Adaptive Sparse Representations of Natural Images
I will illustrate in this talk how computational neuroscience may inspire and be inspired by mathematical image processing. Focusing on …
Laurent U Perrinet
Cite
On efficient sparse spike coding schemes for learning natural scenes in the primary visual cortex
We describe the theoretical formulation of a learning algorithm in a model of the primary visual cortex (V1) and present results of the …
Laurent U Perrinet
PDF
Cite
DOI
PyNN: towards a universal neural simulator API in Python
Trends in programming language development and adoption point to Python as the high-level systems integration language of choice. …
Andrew P Davison
,
Pierre Yger
,
Jens Kremkow
,
Laurent U Perrinet
,
Eilif Muller
PDF
Cite
Project
DOI
Visual tracking of ambiguous moving objects: A recursive Bayesian model
Perceptual and oculomotor data demonstrate that, when the visual information about an object’s motion differs on the local …
Anna Montagnini
,
Pascal Mamassian
,
Laurent U Perrinet
,
Guillaume S Masson
Cite
An efficiency razor for model selection and adaptation in the primary visual cortex
We describe the theoretical formulation of a learning algorithm in a model of the primary visual cortex (V1) and present results of the …
Laurent U Perrinet
PDF
Cite
Bayesian modeling of dynamic motion integration
The quality of the representation of an object’s motion is limited by the noise in the sensory input as well as by an intrinsic …
Anna Montagnini
,
Pascal Mamassian
,
Laurent U Perrinet
,
Eric Castet
,
Guillaume S Masson
PDF
Cite
DOI
Contrast sensitivity adaptation in a virtual spiking retina and its adequation with mammalians retinas
Adrien Wohrer
,
Guillaume S Masson
,
Laurent U Perrinet
,
Pierre Kornprobst
,
Thierry Vieville
Cite
Dynamical contrast gain control mechanisms in a layer 2/3 model of the primary visual cortex
Laurent U Perrinet
,
Jens Kremkow
Cite
Dynamical contrast gain control mechanisms in a layer 2/3 model of the primary visual cortex
Computations in a cortical column are characterized by the dynamical, event-based nature of neuronal signals and are structured by the …
Laurent U Perrinet
,
Jens Kremkow
Cite
Input-output transformation in the visuo-oculomotor loop: modeling the ocular following response to center-surround stimulation in a probabilistic framework
Laurent U Perrinet
,
Jens Kremkow
,
Frédéric V Barthélemy
,
Guillaume S Masson
,
Frédéric Chavane
Cite
Input-output transformation in the visuo-oculomotor loop: modeling the ocular following response to center-surround stimulation in a probabilistic framework
The quality of the representation of an object’s motion is limited by the noise in the sensory input as well as by an intrinsic …
Laurent U Perrinet
,
Frédéric V Barthélemy
,
Guillaume S Masson
Cite
Modeling of simple cells through a sparse overcomplete gabor wavelet representation based on local inhibition and facilitation
We present a biologically plausible model of simple cortical cells as 1) a linear transform representing edges and 2) a non-linear …
Rafael Redondo
,
Sylvain Fischer
,
Laurent U Perrinet
,
Gabriel Cristóbal
Cite
Sparse Gabor wavelets by local operations
Efficient sparse coding of overcomplete transforms remains still anopen problem. Different methods have been proposed in theliterature, …
Sylvain Fischer
,
Rafael Redondo
,
Laurent U Perrinet
,
Gabriel Cristóbal
PDF
Cite
DOI
Dynamics of motion representation in short-latency ocular following: A two-pathways Bayesian model
The integration of information is essential to measure the exact 2D motion of a surface from both local ambiguous 1D motion produced by …
Laurent U Perrinet
,
Frédéric V Barthélemy
,
Eric Castet
,
Guillaume S Masson
Cite
Efficient representation of natural images using local cooperation
Low-level perceptual computations may be understood in terms of efficient codes (Simoncelli and Olshausen, 2001, Annual Review of …
Sylvain Fischer
,
Rafael Redondo
,
Laurent U Perrinet
,
Gabriel Cristóbal
Cite
Efficient Source Detection Using Integrate-and-Fire Neurons
Laurent U Perrinet
PDF
Cite
DOI
Sparse Image Coding Using an Asynchronous Spiking Neural Network
Progressive reconstruction of a static image using spikes in a Laplacian pyramid.
Laurent U Perrinet
,
Manuel Samuelides
Cite
Visual Strategies for Sparse Spike Coding
Laurent U Perrinet
,
Manuel Samuelides
Cite
A generative model for Spike Time Dependent Hebbian Plasticity
Laurent U Perrinet
,
Manuel Samuelides
PDF
Cite
«
Cite
×