Center-Surround Interactions

A Behavioral Receptive Field for Ocular Following in Monkeys: Spatial Summation and Its Spatial Frequency Tuning
In human and non-human primates, reflexive tracking eye movements can be initiated at very short latency in response to a rapid shift …
Cite DOI HAL
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 …
2012-01-12
Cite URL
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 …
2010-12-17
Cite URL
Functional consequences of correlated excitatory and inhibitory conductances in cortical networks
Neurons in the neocortex receive a large number of excitatory and inhibitory synaptic inputs. Excitation and inhibition dynamically …
PDF Cite DOI URL
Functional consequences of correlated excitatory and inhibitory conductances in cortical networks
Models of low-level vision: linking probabilistic models and neural masses
2010-01-08
Cite URL
Dynamical emergence of a neural solution for motion integration
Dynamical emergence of a neural solution for motion integration
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 …
Cite URL
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 …
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 …
Cite
Decoding the population dynamics underlying ocular following response using a probabilistic framework
Modeling spatial integration in the ocular following response to center-surround stimulation using a probabilistic framework
Cite
Dynamical Neural Networks: modeling low-level vision at short latencies
The machinery behind the visual perception of motion and the subsequent sensori-motor transformation, such as in ocular following …
PDF Cite DOI
Modeling spatial integration in the ocular following response using a probabilistic framework
The machinery behind the visual perception of motion and the subsequent sensori-motor transformation, such as in Ocular Following …
PDF Cite DOI URL
Modeling spatial integration in the ocular following response using a probabilistic framework
Network of integrate-and-fire neurons using Rank Order Coding A: how to implement spike timing dependant plasticity
Cite DOI