Next-generation neural computations
Next-generation neural computations
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Frédéric Chavane
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Pooling in a predictive model of V1 explains functional and structural diversity across species
Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system
Modulation of orientation selectivity by orientation precision
ANR ShootingStar (2021/2024)
Anticipatory Responses along Motion Trajectories in Awake Monkey Area V1
A dynamic model for decoding direction and orientation in macaque primary visual cortex
Suppressive waves disambiguate the representation of long-range apparent motion in awake monkey V1
Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system
Orientation selectivity to synthetic natural patterns in a cortical-like model of the cat primary visual cortex
Sparse Deep Predictive Coding to model visual object recognition
ANR BalaV1 (2013/2016)
ANR Horizontal-V1 (2017/2021)
ANR TRAJECTORY (2016/2019)
Testing the odds of inherent vs. observed overdispersion in neural spike counts
A dynamic model for decoding direction and orientation in macaque primary visual cortex
A dynamic model for decoding direction and orientation in macaque primary visual cortex
On overdispersion in neuronal evoked activity
Motion-based prediction and development of the response to an 'on the way' stimulus
Reading out the dynamics of lateral interactions in the primary visual cortex from VSD data
Inferring monkey ocular following responses from V1 population dynamics using a probabilistic model of motion integration
Input-output transformation in the visuo-oculomotor loop: modeling the ocular following response to center-surround stimulation in a probabilistic framework
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