SBRI Stem-cell and Brain Research Institute - France (Lyon)
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Knoblauch Kenneth

Kenneth Knoblauch / Team Leader / DR2 - INSERM

Research interests 

Perception and sensory coding, color vision, psychophysics, functional cerebral imagery, low vision, development of visual function, modeling of neural processes and networks, computational neuroscience.

Member of SBRI Teams

3B- Building the cerebral cortex: Connectomics

Member contact

Selected Publications of Kenneth Knoblauch

Year Referencesort descending Title Authors Journal PUB MED PDF
2008 8(16):10.1-19 Estimating classification images with generalized linear and additive models Knoblauch K, Maloney LT J Vis
1991 8(2):428-39 Effects of chromatic and luminance contrast on reading Knoblauch K, Arditi A, Szlyk J J Opt Soc Am A
2013 80(1):184-97 A predictive network model of cerebral cortical connectivity based on a distance rule Ercsey-Ravasz M, Markov NT, Lamy C, Van Essen DC, Knoblauch K, Toroczkai Z, Kennedy H Neuron
2013 80:37-45 Why data coherence and quality is critical for understanding interareal cortical networks Kennedy H, Knoblauch K, Toroczkai Z Neuroimage
2013 80:37-45 Why data coherence and quality is critical for understanding interareal cortical networks Kennedy H, Knoblauch K, Toroczkai Z Neuroimage -
2015 88(2):419-31 A Large-Scale Circuit Mechanism for Hierarchical Dynamical Processing in the Primate Cortex Chaudhuri R, Knoblauch K, Gariel MA, Kennedy H, Wang XJ Neuron -
2020 8:588814 Radial Migration Dynamics Is Modulated in a Laminar and Area-Specific Manner During Primate Corticogenesis Veronique Cortay, Delphine Delaunay, Dorothée Patti, Elodie Gautier, Nathalie Doerflinger, Pascale Giroud, Kenneth Knoblauch, Cyril Huissoud, Henry Kennedy, Colette Dehay Front Cell Dev Biol -
2014 8:805 Quantifying the watercolor effect: from stimulus properties to neural models Devinck F, Gerardin P, Dojat M, Knoblauch K Front Hum Neurosci
2018 97(3):698-715 The Mouse Cortical Connectome, Characterized by an Ultra-Dense Cortical Graph, Maintains Specificity by Distinct Connectivity Profiles Gămănuţ R, Kennedy H, Toroczkai Z, Ercsey-Ravasz M, Van Essen DC, Knoblauch K, Burkhalter A Neuron -
2020 doi: 10.1146/annurev-vision-030320-041152 Measuring and Modeling Visual Appearance. Knoblauch K, Maloney LT Annu Rev Vis Sci -