3B
Building the cerebral cortex: Connectomics
We investigate information processing in the cortical networks underlying visual perception and visuo-motor integration.

We have established the statistical tools for modelling connectivity underlying the hierarchical organization of the cortex, and are exploring the context-dependent processing that these results suggest. Cortical networks are identified using fMRI, both in human and non-human primates.

Psychophysics allows inference about the computational properties and when coupled with fMRI allows the localisation of the sites of these computations in cortical networks.

The fMRI in the monkey makes it possible to understand functional networks in humans in terms of the cellular mechanisms established by studies carried out in the monkey. Developmental, aging and pathological models are also used to explore the independence and interactions of visual functions with performance.

Finally, we apply the results from this approach to the design of stimuli and training procedures in order to improve performance related to visual tasks in observers with low vision.

Our research projects are funded by the ANR, IA Labex Cortex, Region Auvergne Rhône-Alpes, Féderation des Aveugles de France, PEP.

YearAuthorsTitleJournalPubMedPDF
2020Magrou L, Barone P, Markov NT, Scheeren G, Killackey HP, Giroud P, Berland M, Knoblauch K, Dehay C*, Kennedy H*, *co-senior authorsUnique Features of Subcortical Circuits in a Macaque Model of Congenital BlindnessCereb Cortex
2020Ribeiro Gomes AR, Olivier E, Killackey HP, Giroud P, Berland M, Knoblauch K, Dehay C*, Kennedy H*, *co-senior authors, F1000 recommandationRefinement of the Primate Corticospinal Pathway During Prenatal Development.Cereb Cortex
2019Saraf MP, Balaram P, Pifferi F, Gămănuţ R, Kennedy H, Kaas JHArchitectonic features and relative locations of primary sensory and related areas of neocortex in mouse lemurs.J Comp Neurol
2019Saraf MP, Balaram P, Pifferi F, Kennedy H, Kaas JHThe sensory thalamus and visual midbrain in mouse lemurs.J Comp Neurol
2018Magrou L, Barone P, Markov NT, Killackey HP, Giroud P, Berland M, Knoblauch K, Dehay C*, Kennedy H*, *co-senior authorsHow Areal Specification Shapes the Local and Interareal Circuits in a Macaque Model of Congenital BlindnessCereb Cortex
2016Donahue CJ, Sotiropoulos SN, Jbabdi S, Hernandez-Fernandez M, Behrens TE, Dyrby TB, Coalson T, Kennedy H, Knoblauch K, Van Essen DC, Glasser MFUsing Diffusion Tractography to Predict Cortical Connection Strength and Distance: A Quantitative Comparison with Tracers in the MonkeyJ Neurosci
2014Markov NT, Ercsey-Ravasz MM, Ribeiro Gomes AR, Lamy C, Magrou L, Vezoli J, Misery P, Falchier A, Quilodran R, Gariel MA, Sallet J, Gamanut R, Huissoud C, Clavagnier S, Giroud P, Sappey-Marinier D, Barone P, Dehay C, Toroczkai Z, Knoblauch K, Van Essen DC, Kennedy HA weighted and directed interareal connectivity matrix for macaque cerebral cortexCereb Cortex
2013Markov NT, Ercsey-Ravasz M, Lamy C, Ribeiro Gomes AR, Magrou L, Misery P, Giroud P, Barone P, Dehay C, Toroczkai Z, Knoblauch K, Van Essen DC, Kennedy HThe role of long-range connections on the specificity of the macaque interareal cortical networkProc Natl Acad Sci U S A
2013Ercsey-Ravasz M, Markov NT, Lamy C, Van Essen DC, Knoblauch K, Toroczkai Z, Kennedy HA predictive network model of cerebral cortical connectivity based on a distance ruleNeuron
2013Markov NT, Ercsey-Ravasz M, Van Essen DC, Knoblauch K, Toroczkai Z, Kennedy HCortical high-density counterstream architecturesScience