FACETS-ITN (2010/2013)

FACETS-ITN: From Neuroscience to neuro-inspired computing (20102013)

http://facets.kip.uni-heidelberg.de/ITN/index.html

FACETS ITN project (EU funding, grant number 237955) is a ‘Marie-Curie Initial Training Network’ involves 15 groups at European Research Universities, Research Centers and Industrial Partners in 6 countries. 22 Ph.D. Positions are funded in the FACETS-ITN project in the following scientific work areas: Neurobiology of Cells and Networks, Modelling of Neural Systems, Neuromorphic Hardware, Neuro-Electronic Interfaces, Computational Principles in Neural Architectures, Mechanisms of Learning and Plasticity.

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Laurent U Perrinet
Researcher in Computational Neuroscience

My research interests include Machine Learning and computational neuroscience applied to Vision.

Publications

The flash-lag effect as a motion-based predictive shift

Due to its inherent neural delays, the visual system has an outdated access to sensory information about the current position of moving …

Motion-based prediction model for flash lag effect

The flash lag effect (FLE) is a well known visual illusion that reveals the perceptual difference in position coding of moving and …

Signature of an anticipatory response in area V1 as modeled by a probabilistic model and a spiking neural network

As it is confronted to inherent neural delays, how does the visual system create a coherent representation of a rapidly changing …

Motion-based prediction explains the role of tracking in motion extrapolation

During normal viewing, the continuous stream of visual input is regularly interrupted, for instance by blinks of the eye. Despite these …

Anisotropic connectivity implements motion-based prediction in a spiking neural network

Predictive coding hypothesizes that the brain explicitly infers upcoming sensory input to establish a coherent representation of the …