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.
|2020||Magrou L, Barone P, Markov NT, Scheeren G, Killackey HP, Giroud P, Berland M, Knoblauch K, Dehay C*, Kennedy H*, *co-senior authors||Unique Features of Subcortical Circuits in a Macaque Model of Congenital Blindness||Cereb Cortex|
|2020||Ribeiro Gomes AR, Olivier E, Killackey HP, Giroud P, Berland M, Knoblauch K, Dehay C*, Kennedy H*, *co-senior authors, F1000 recommandation||Refinement of the Primate Corticospinal Pathway During Prenatal Development.||Cereb Cortex|
|2019||Saraf MP, Balaram P, Pifferi F, Gămănuţ R, Kennedy H, Kaas JH||Architectonic features and relative locations of primary sensory and related areas of neocortex in mouse lemurs.||J Comp Neurol|
|2019||Saraf MP, Balaram P, Pifferi F, Kennedy H, Kaas JH||The sensory thalamus and visual midbrain in mouse lemurs.||J Comp Neurol|
|2018||Magrou L, Barone P, Markov NT, Killackey HP, Giroud P, Berland M, Knoblauch K, Dehay C*, Kennedy H*, *co-senior authors||How Areal Specification Shapes the Local and Interareal Circuits in a Macaque Model of Congenital Blindness||Cereb Cortex|
|2016||Donahue CJ, Sotiropoulos SN, Jbabdi S, Hernandez-Fernandez M, Behrens TE, Dyrby TB, Coalson T, Kennedy H, Knoblauch K, Van Essen DC, Glasser MF||Using Diffusion Tractography to Predict Cortical Connection Strength and Distance: A Quantitative Comparison with Tracers in the Monkey||J Neurosci|
|2014||Markov 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 H||A weighted and directed interareal connectivity matrix for macaque cerebral cortex||Cereb Cortex|
|2013||Markov 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 H||The role of long-range connections on the specificity of the macaque interareal cortical network||Proc Natl Acad Sci U S A|
|2013||Ercsey-Ravasz M, Markov NT, Lamy C, Van Essen DC, Knoblauch K, Toroczkai Z, Kennedy H||A predictive network model of cerebral cortical connectivity based on a distance rule||Neuron|
|2013||Markov NT, Ercsey-Ravasz M, Van Essen DC, Knoblauch K, Toroczkai Z, Kennedy H||Cortical high-density counterstream architectures||Science|