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.
|2016||36(25):6758-70||Using Diffusion Tractography to Predict Cortical Connection Strength and Distance: A Quantitative Comparison with Tracers in the Monkey||Donahue CJ, Sotiropoulos SN, Jbabdi S, Hernandez-Fernandez M, Behrens TE, Dyrby TB, Coalson T, Kennedy H, Knoblauch K, Van Essen DC, Glasser MF||J Neurosci|
|2014||24(1):17-36||A weighted and directed interareal connectivity matrix for macaque cerebral cortex||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||Cereb Cortex|
|2013||110(13):5187-92||The role of long-range connections on the specificity of the macaque interareal cortical network||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||Proc Natl Acad Sci U S 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||342(6158):1238406||Cortical high-density counterstream architectures||Markov NT, Ercsey-Ravasz M, Van Essen DC, Knoblauch K, Toroczkai Z, Kennedy H||Science|
|2011||21(6):1254-72||Weight consistency specifies regularities of macaque cortical networks||Markov NT, Misery P, Falchier A, Lamy C, Vezoli J, Quilodran R, Gariel MA, Giroud P, Ercsey-Ravasz M, Pilaz LJ, Huissoud C, Barone P, Dehay C, Toroczkai Z, Van Essen DC, Kennedy H, Knoblauch K||Cereb Cortex|