Claus Hilgetag
Prof. Dr.
Claus Christian Hilgetag
  • Institutsdirektor


W36 , 1. Etage, Raumnummer 103
Deutsch (Muttersprache)




Comprehensive computational modelling of the development of mammalian cortical connectivity underlying an architectonic type principle
Beul S, Goulas A, Hilgetag C
PLOS COMPUT BIOL. 2018;14(11):e1006550.

Intrinsic Functional Connectivity Resembles Cortical Architecture at Various Levels of Isoflurane Anesthesia
Fischer F, Pieper F, Galindo-Leon E, Engler G, Hilgetag C, Engel A
CEREB CORTEX. 2018;28(8):2991-3003.

Cortical Gradients and Laminar Projections in Mammals
Goulas A, Zilles K, Hilgetag C
TRENDS NEUROSCI. 2018;41(11):775-788.

Neural correlates of visuospatial bias in patients with left hemisphere stroke: a causal functional contribution analysis based on game theory
Malherbe C, Umarova R, Zavaglia M, Kaller C, Beume L, Thomalla G, Weiller C, Hilgetag C
NEUROPSYCHOLOGIA. 2018;115:142-153.

Toward a theory of coactivation patterns in excitable neural networks
Messé A, Hütt M, Hilgetag C
PLOS COMPUT BIOL. 2018;14(4):e1006084.

Structural Properties of Synaptic Transmission and Temporal Dynamics at Excitatory Layer 5B Synapses in the Adult Rat Somatosensory Cortex
Rollenhagen A, Ohana O, Sätzler K, Hilgetag C, Kuhl D, Lübke J
Front Synaptic Neurosci. 2018;10:24.

Multi-scale account of the network structure of macaque visual cortex
Schmidt M, Bakker R, Hilgetag C, Diesmann M, van Albada S
BRAIN STRUCT FUNCT. 2018;223(3):1409-1435.

Brain anomaly networks uncover heterogeneous functional reorganization patterns after stroke
Zou Y, Zhao Z, Yin D, Fan M, Small M, Liu Z, Hilgetag C, Kurths J
NEUROIMAGE-CLIN. 2018;20:523-530.


A Predictive Structural Model of the Primate Connectome
Beul S, Barbas H, Hilgetag C
SCI REP-UK. 2017;7:43176.

Features of spatial and functional segregation and integration of the primate connectome revealed by trade-off between wiring cost and efficiency
Chen Y, Wang S, Hilgetag C, Zhou C
PLOS COMPUT BIOL. 2017;13(9):e1005776.

Modular topology emerges from plasticity in a minimalistic excitable network model
Damicelli F, Hilgetag C, Hütt M, Messé A
CHAOS. 2017;27(4):047406.

Topological determinants of self-sustained activity in a simple model of excitable dynamics on graphs
Fretter C, Lesne A, Hilgetag C, Hütt M
SCI REP-UK. 2017;7:42340.

Female vs. Male Ampelmännchen-Gender-Specific Reaction Times to Male and Female Traffic Light Figures
Kandil F, Olk B, Hilgetag C
FRONT PSYCHOL. 2017;8:690.

The challenge of mapping the human connectome based on diffusion tractography
Maier-Hein K, Neher P, Houde J, Côté M, Garyfallidis E, Zhong J, Chamberland M, Yeh F, Lin Y, Ji Q, Reddick W, Glass J, Chen D, Feng Y, Gao C, Wu Y, Ma J, Renjie H, Li Q, Westin C, Deslauriers-Gauthier S, González J, Paquette M, St-Jean S, Girard G, Rheault F, Sidhu J, Tax C, Guo F, Mesri H, Dávid S, Froeling M, Heemskerk A, Leemans A, Boré A, Pinsard B, Bedetti C, Desrosiers M, Brambati S, Doyon J, Sarica A, Vasta R, Cerasa A, Quattrone A, Yeatman J, Khan A, Hodges W, Alexander S, Romascano D, Barakovic M, Auría A, Esteban O, Lemkaddem A, Thiran J, Cetingul H, Odry B, Mailhe B, Nadar M, Pizzagalli F, Prasad G, Villalon-Reina J, Galvis J, Thompson P, Requejo F, Laguna P, Lacerda L, Barrett R, Dell'Acqua F, Catani M, Petit L, Caruyer E, Daducci A, Dyrby T, Holland-Letz T, Hilgetag C, Stieltjes B, Descoteaux M
NAT COMMUN. 2017;8(1):1349.

Altered topology of structural brain networks in patients with Gilles de la Tourette syndrome
Schlemm E, Cheng B, Fischer F, Hilgetag C, Gerloff C, Thomalla G
SCI REP-UK. 2017;7(1):10606.

Reduced rich-club connectivity is related to disability in primary progressive MS
Stellmann J, Hodecker S, Cheng B, Wanke N, Young K, Hilgetag C, Gerloff C, Heesen C, Thomalla G, Siemonsen S
Neurol Neuroimmunol Neuroinflamm. 2017;4(5):e375.

Game theoretical mapping of causal interactions underlying visuo-spatial attention in the human brain based on stroke lesions
Toba M, Zavaglia M, Rastelli F, Valabrégue R, Pradat-Diehl P, Valero-Cabré A, Hilgetag C
HUM BRAIN MAPP. 2017 [Epub ahead of print].


Modeling of Large-Scale Functional Brain Networks Based on Structural Connectivity from DTI: Comparison with EEG Derived Phase Coupling Networks and Evaluation of Alternative Methods along the Modeling Path
Finger H, Bönstrup M, Cheng B, Messé A, Hilgetag C, Thomalla G, Gerloff C, König P
PLOS COMPUT BIOL. 2016;12(8):e1005025.

Principles of ipsilateral and contralateral cortico-cortical connectivity in the mouse
Goulas A, Uylings H, Hilgetag C
BRAIN STRUCT FUNCT. 2016;222(3):1281-1295.

Connectivity and cortical architecture
Hilgetag C, Amunts K
e-Neuroforum. 2016;7(3):56-63.

Konnektivität und kortikale Architektur
Hilgetag C, Amunts K
NEUROFORUM. 2016;22(3):83-90.

Is the brain really a small-world network?
Hilgetag C, Goulas A
BRAIN STRUCT FUNCT. 2016;221(4):2361-6.

The primate connectome in context: Principles of connections of the cortical visual system
Hilgetag C, Medalla M, Beul S, Barbas H
NEUROIMAGE. 2016;134:685-702.

Selective perturbation of cognitive conflict in the human brain-A combined fMRI and rTMS study
Peschke C, Köster R, Korsch M, Frühholz S, Thiel C, Herrmann M, Hilgetag C
SCI REP-UK. 2016;6:38700.

Building the Ferretome
Sukhinin D, Engel A, Manger P, Hilgetag C
Front Neuroinform. 2016;10:16.

Technical considerations of a game-theoretical approach for lesion symptom mapping
Zavaglia M, Forkert N, Cheng B, Gerloff C, Thomalla G, Hilgetag C
BMC NEUROSCI. 2016;17(1):40.

Causal functional contributions and interactions in the attention network of the brain: an objective multi-perturbation analysis
Zavaglia M, Hilgetag C
BRAIN STRUCT FUNCT. 2016;221(5):2553-68.


Persistency and flexibility of complex brain networks underlie dual-task interference
Alavash M, Hilgetag C, Thiel C, Gießing C
HUM BRAIN MAPP. 2015;36(9):3542-62.

A predictive model of the cat cortical connectome based on cytoarchitecture and distance
Beul S, Grant S, Hilgetag C
BRAIN STRUCT FUNCT. 2015;220(6):3167-3184.

Towards a "canonical" agranular cortical microcircuit
Beul S, Hilgetag C
FRONT NEUROANAT. 2015;8:165.

The effect of 10 Hz repetitive transcranial magnetic stimulation of posterior parietal cortex on visual attention
Dombrowe I, Juravle G, Alavash M, Gießing C, Hilgetag C
PLOS ONE. 2015;10(5):Art. UNSP e0126802.

Multiclass Support Vector Machine-Based Lesion Mapping Predicts Functional Outcome in Ischemic Stroke Patients
Forkert N, Verleger T, Cheng B, Thomalla G, Hilgetag C, Fiehler J
PLOS ONE. 2015;10(6):Art. e0129569.

Connectivity analysis in healthy and pathological brains
Hilgetag C
2015. Encyclopedia of Computational Neuroscience. 1. Aufl. Springer, 790-793.

Wiring Principles, Optimization
Kaiser M, Hilgetag C
2015. Encyclopedia of Computational Neuroscience. Jaeger D, Ranu J (Hrsg.). 1. Aufl. New York: Springer, 3172-3177.

A closer look at the apparent correlation of structural and functional connectivity in excitable neural networks
Messé A, Hütt M, König P, Hilgetag C
SCI REP-UK. 2015;5:Art. 7870.

Attention and control of manual responses in cognitive conflict: Findings from TMS perturbation studies
Olk B, Peschke C, Hilgetag C

Bridging Cytoarchitectonics and Connectomics in Human Cerebral Cortex
van den Heuvel M, Scholtens L, Feldman Barrett L, Hilgetag C, de Reus M
J NEUROSCI. 2015;35(41):13943-8.

Mapping causal functional contributions derived from the clinical assessment of brain damage after stroke
Zavaglia M, Forkert N, Cheng B, Gerloff C, Thomalla G, Hilgetag C
NEUROIMAGE-CLIN. 2015;9:83-94.


Influence of Stroke Infarct Location on Functional Outcome Measured by the Modified Rankin Scale
Cheng B, Forkert N, Zavaglia M, Hilgetag C, Golsari A, Siemonsen S, Fiehler J, Pedraza S, Puig J, Cho T, Alawneh J, Baron J, Ostergaard L, Gerloff C, Thomalla G
STROKE. 2014;45(6):1695-+.

Occipitoparietal alpha-band responses to the graded allocation of top-down spatial attention
Dombrowe I, Hilgetag C
J NEUROPHYSIOL. 2014;112(6):1307-16.

Role of long cycles in excitable dynamics on graphs
Garcia G, Lesne A, Hilgetag C, Hütt M
Phys Rev E Stat Nonlin Soft Matter Phys. 2014;90(5-1):052805.

Hierarchical modular brain connectivity is a stretch for criticality
Hilgetag C, Hütt M
TRENDS COGN SCI. 2014;18(3):114-5.

Brain network science needs to become predictive. Comment on "Understanding brain networks and brain organization" by Luiz Pessoa
Hilgetag C, von Luxburg U
PHYS LIFE REV. 2014;11(3):446-7.

Network-guided pattern formation of neural dynamics
Hütt M, Kaiser M, Hilgetag C
PHILOS T R SOC B. 2014;369(1653):20130522.

Cortico-cortical communication dynamics
Roland P, Hilgetag C, Deco G
Front Syst Neurosci. 2014;8:19.

Tracing evolution of spatio-temporal dynamics of the cerebral cortex: cortico-cortical communication dynamics
Roland P, Hilgetag C, Deco G
Front Syst Neurosci. 2014;8:76.


Trade-off between multiple constraints enables simultaneous formation of modules and hubs in neural systems
Chen Y, Wang S, Hilgetag C, Zhou C
PLOS COMPUT BIOL. 2013;9(3):e1002937.

Intrinsic coupling modes: multiscale interactions in ongoing brain activity
Engel A, Gerloff C, Hilgetag C, Nolte G
NEURON. 2013;80(4):867-86.

Automated volumes-of-interest identification for classical and atypical Parkinsonian syndrome differentiation using T2' MR imaging
Forkert N, Schmidt-Richberg A, Treszl A, Hilgetag C, Fiehler J, Münchau A, Handels H, Boelmans K
METHOD INFORM MED. 2013;52(2):128-36.

Model complexity in the study of neuronal network phenomena
Hilgetag C, Hütt M, Zhou C
2013. Advances in Cognitive Neurodynamics (III). Omori T, Yamaguchi Y, Sakaguchi Y, Sato N, Tsuda I (Hrsg.). 1. Aufl. Springer, 77-81.

Influence of stimulus type on effects of flanker, flanker position, and trial sequence in a saccadic eye movement task
Peschke C, Hilgetag C, Olk B
Q J EXP PSYCHOL. 2013;66(11):2253-67.

Should I stay or should I go--cognitive conflict in multi-attribute signals probed with East and West German 'Ampelmännchen' traffic signs
Peschke C, Olk B, Hilgetag C
PLOS ONE. 2013;8(5):e64712.

Modular organization enables both self-organized criticality and oscillations in neuronal systems
Wang S, Hilgetag C, Zhou C
2013. Advances in Cognitive Neurodynamics (III). Omori T, Yamaguchi Y, Sakaguchi Y, Sato N, Tsuda I (Hrsg.). 1. Aufl. Springer, 207-2012.


Building blocks of self-sustained activity in a simple deterministic model of excitable neural networks.
Garcia G, Lesne A, Hütt M, Hilgetag C

Stochastic resonance in discrete excitable dynamics on graphs
Hütt M, Jain M, Hilgetag C, Lesne A
Chaos, Solitions & Fractals. 2012;45(5):611-618.

Mapping the connectome: multi-level analysis of brain connectivity
Leergaard T, Hilgetag C, Sporns O
Front Neuroinform. 2012;6:14.

Mapping the connectome: multi-level analysis of brain connectivity.
Leergaard T, Hilgetag C, Sporns O
Front Neuroinform. 2012;6:14.


Characterization of visual percepts evoked by noninvasive stimulation of the human posterior parietal cortex.
Fried P, Elkin-Frankston S, Rushmore R, Hilgetag C, Valero-Cabre A
PLOS ONE. 2011;6(11):27204.

Dynamics of Hierarchical Neural Networks
Hilgetag C, Müller-Linow M, Hütt M
2011. Advances in Cognitive Neurodynamics (II). 215-219.

Book review: The Noisy Brain
Mahajan G, Hilgetag C
J NEUROL SCI. 2011;(300):204.

Sustained activity in hierarchical modular neural networks: self-organized criticality and oscillations.
Wang S, Hilgetag C, Zhou C

Gyrification and neural connectivity in schizophrenia.
White T, Hilgetag C
DEV PSYCHOPATHOL. 2011;23(1):339-352.


Cytoarchitectural differences are a key determinant of laminar projection origins in the visual cortex
Hilgetag C, Grant S
NEUROIMAGE. 2010;51(3):1006-17.

Book review: The Overflowing Brain
Hilgetag C, Tsao J
J NEUROL SCI. 2010;(292):121-122.

Contributions of human parietal and frontal cortices to attentional control during conflict resolution: a 1-Hz offline rTMS study.
Jin Y, Olk B, Hilgetag C
EXP BRAIN RES. 2010;205(1):131-138.

Optimal hierarchical modular topologies for producing limited sustained activation of neural networks.
Kaiser M, Hilgetag C
Front Neuroinform. 2010;4:8.

Hierarchy and dynamics of neural networks.
Kaiser M, Hilgetag C, Kötter R
Front Neuroinform. 2010;4:112.

In Memoriam: Rolf Kötter (1961 2010)
Stephan K, McIntosh A, Hilgetag C
PLOS COMPUT BIOL. 2010;6(10):1000965.


A proposal for a coordinated effort for the determination of brainwide neuroanatomical connectivity in model organisms at a mesoscopic scale
Bohland J, Wu C, Barbas H, Bokil H, Bota M, Breiter H, Cline H, Doyle J, Freed P, Greenspan R, Haber S, Hawrylycz M, Herrera D, Hilgetag C, Huang Z, Jones A, Jones E, Karten H, Kleinfeld D, Kötter R, Lester H, Lin J, Mensh B, Mikula S, Panksepp J, Price J, Safdieh J, Saper C, Schiff N, Schmahmann J, Stillman B, Svoboda K, Swanson L, Toga A, Van Essen D, Watson J, Mitra P
PLOS COMPUT BIOL. 2009;5(3):e1000334.

Beyond the average: Detecting global singular nodes from local features in complex networks
Costa L, Rodrigues F, Hilgetag C, Kaiser M
EPL-EUROPHYS LETT. 2009;87(1):.

Are there ten times more glia than neurons in the brain?
Hilgetag C, Barbas H
BRAIN STRUCT FUNCT. 2009;213(4-5):365-6.

Sculpting the brain
Hilgetag C, Barbas H
SCI AM. 2009;300(2):66-71.

Wie sich das Gehirn in Falten legt
Hilgetag C, Barbas H
Spektrum der Wissenschaft . 2009;(Oktober 2009):60-65.

Book review: The Oxford Handbook of Transcranial Stimulation
Hilgetag C, Tsao J
J NEUROL SCI. 2009;(276):205.

A simple rule for axon outgrowth and synaptic competition generates realistic connection lengths and filling fractions
Kaiser M, Hilgetag C, van Ooyen A
CEREB CORTEX. 2009;19(12):3001-10.

Book review: Observed Brain Dynamics
Lee H, Hilgetag C, Tsao J
J NEUROL SCI. 2009;(276):204-205.


Hilgetag C
2008. Das TMS-Buch. Springer, 460-466.

Organization and function of complex cortical networks
Hilgetag C, Kaiser M
2008. Lectures in Supercomputational Neuroscience. Springer, 107-134.

Perturbation of visuospatial attention by high-frequency offline rTMS
Jin Y, Hilgetag C
EXP BRAIN RES. 2008;189(1):121-8.

Organization of excitable dynamics in hierarchical biological networks
Müller-Linow M, Hilgetag C, Hütt M
PLOS COMPUT BIOL. 2008;4(9):e1000190.

Gyrification and development of the human brain
White T, Hilgetag C
2008. Handbook of Developmental Cognitive Neuroscience. MIT Press, 39-50.

Structure-Function Relationship in Complex Brain Networks by Multilevel Modeling
Zhou C, Zemanova L, Hilgetag C, Kurths J
2008. Advances in Cognitive Neurodynamics. 511-514.


Predicting the connectivity of primate cortical networks from topological and spatial node properties
Costa L, Kaiser M, Hilgetag C
BMC SYST BIOL. 2007;1:16.

Sequence of information processing for emotions based on the anatomic dialogue between prefrontal cortex and amygdala
Ghashghaei H, Hilgetag C, Barbas H
NEUROIMAGE. 2007;34(3):905-23.

Criticality of spreading dynamics in hierarchical cluster networks without inhibition
Kaiser M, Goerner M, Hilgetag C
NEW J PHYS. 2007;9:.

Development of multi-cluster cortical networks by time windows for spatial growth
Kaiser M, Hilgetag C
NEUROCOMPUTING. 2007;70(10-12):1829-1832.

Multi-clustered cortical networks arise from developmental time windows for spatial growth
Kaiser M, Hilgetag C
NEUROCOMPUTING. 2007;1829-1839.

Who does what: Taking measures
Keinan A, Kaufman A, Hilgetag C, Meilijson I, Ruppin E
2007. Statistical and process models of cognitive aging. CRC Press, 163-200.

Structure-function relationship in complex brain networks expressed by hierarchical synchronization
Zhou C, Zemanova L, Zamora-Lopez G, Hilgetag C, Kurths J
NEW J PHYS. 2007;9:.


Principles of brain connectivity organization
Hilgetag C
BEHAV BRAIN SCI . 2006;(29):18-19.

Role of mechanical factors in the morphology of the primate cerebral cortex
Hilgetag C, Barbas H
PLOS COMPUT BIOL. 2006;2(3):e22.

Nonoptimal component placement, but short processing paths, due to long-distance projections in neural systems
Kaiser M, Hilgetag C
PLOS COMPUT BIOL. 2006;2(7):e95.

Axiomatic scalable neurocontroller analysis via the Shapley value
Keinan A, Sandbank B, Hilgetag C, Meilijson I, Ruppin E
ARTIF LIFE. 2006;12(3):333-52.

Functional circuitry underlying visual neglect
Rushmore R, Valero-Cabre A, Lomber S, Hilgetag C, Payne B
BRAIN. 2006;129(Pt 7):1803-21.

Hierarchical organization unveiled by functional connectivity in complex brain networks
Zhou C, Zemanová L, Zamora G, Hilgetag C, Kurths J
PHYS REV LETT. 2006;97(23):238103.


Parallel organization of contralateral and ipsilateral prefrontal cortical projections in the rhesus monkey
Barbas H, Hilgetag C, Saha S, Dermon C, Suski J
BMC NEUROSCI. 2005;6:32.

Graded classes of cortical connections: quantitative analyses of laminar projections to motion areas of cat extrastriate cortex
Grant S, Hilgetag C
EUR J NEUROSCI. 2005;22(3):681-96.

Developmental mechanics of the primate cerebral cortex
Hilgetag C, Barbas H
ANAT EMBRYOL. 2005;210(5-6):411-7.

Die Netzwerk-Struktur biologischer Systeme
Hilgetag C, Kaiser M
BIOforum. 2005;(4):32-33.


Learning from switched-off brains
Hilgetag C
SCI AM. 2004;(14):8-9.

Clustered organization of cortical connectivity
Hilgetag C, Kaiser M
NEUROINFORMATICS. 2004;2(3):353-60.

Edge vulnerability in neural and metabolic networks
Kaiser M, Hilgetag C
BIOL CYBERN. 2004;90(5):311-7.

Modelling the development of cortical systems networks
Kaiser M, Hilgetag C
NEUROCOMPUTING. 2004;58:297-302.

Spatial growth of real-world networks
Kaiser M, Hilgetag C
Phys Rev E Stat Nonlin Soft Matter Phys. 2004;69(3 Pt 2):036103.

Causal localization of neural function: the Shapley value method
Keinan A, Hilgetag C, Meilijson I, Ruppin E
NEUROCOMPUTING. 2004;58-60:215-222.

Fair localization of function via multi-lesion analysis
Keinan A, Kaufman A, Sachs N, Hilgetag C, Ruppin E
NEUROINFORMATICS. 2004;2(2):163-8.

Fair attribution of functional contribution in artificial and biological networks
Keinan A, Sandbank B, Hilgetag C, Meilijson I, Ruppin E
NEURAL COMPUT. 2004;16(9):1887-915.

Organization, development and function of complex brain networks
Sporns O, Chialvo D, Kaiser M, Hilgetag C
TRENDS COGN SCI. 2004;8(9):418-25.


Bilateral competitive processing of visual spatial attention in the human brain
Hilgetag C, Kötter R, Théoret H, Classen J, Wolters A, Pascual-Leone A
NEUROCOMPUTING. 2003;52-54:793-798.


Rules relating connections to cortical structure in primate prefrontal cortex
Barbas H, Hilgetag C
NEUROCOMPUTING. 2002;44-46:301-308.

Hirnausfälle für alle!
Hilgetag C
Gehirn und Geist. 2002;(1):9-10.

Classes and gradients of prefrontal cortical organization in the primate
Hilgetag C, Dombrowski S, Barbas H
NEUROCOMPUTING. 2002;44-46:823-829.

Computational Methods for the Analysis of Brain Connectivity
Hilgetag C, Kötter R, Stephan K, Sporns O
2002. Computational Neuroanatomy. 295-“336.

Topographic restoration of visual spatial attention in the cortically blind cat
Hilgetag C, Lomber S, Rushmore R, Payne B
NEUROCOMPUTING. 2002;44-46:831–835.

Restoration of visual orienting into a cortically blind hemifield by reversible deactivation of posterior parietal cortex or the superior colliculus
Lomber S, Payne B, Hilgetag C, Rushmore J
EXP BRAIN RES. 2002;142(4):463-74.

The PUPS - MOSIX environment: A homeostatic environment for neuro- and bioinformatic applications
O'Neill M, Burns G, Hilgetag C
2002. Neuroscience Database. Springer New York Heidelberg Dordrecht London, 187-200.

Reaction routes in biochemical reaction Systems: algebraic properties, validated calculation procedure and example from nucleotide metabolism
Schuster S, Hilgetag C, Woods J, Fell D
J MATH BIOL. 2002;45(2):153-81.


Quantitative architecture distinguishes prefrontal cortical systems in the rhesus monkey
Dombrowski S, Hilgetag C, Barbas H
CEREB CORTEX. 2001;11(10):975-88.

Uniformity and specificity of long-range corticocortical connections in the visual cortex of the cat
Hilgetag C, Grant S
NEUROCOMPUTING. 2001;38-40:667-673.

Neural mechanisms of spatial attention in the cat
Hilgetag C, Lomber S, Payne B
NEUROCOMPUTING. 2001;38-40:1281-€“1287.

Enhanced visual spatial attention ipsilateral to rTMS-induced 'virtual lesions' of human parietal cortex
Hilgetag C, Théoret H, Pascual-Leone A
NAT NEUROSCI. 2001;4(9):953-7.

Connectional characteristics of areas in Walker's map of primate prefrontal cortex
Kötter R, Hilgetag C, Stephan K
NEUROCOMPUTING. 2001;38-40:741-746.

The portable UNIX programming system (PUPS) and CANTOR: a computational environment for dynamical representation and analysis of complex neurobiological data
O'Neill M, Hilgetag C
PHILOS T R SOC B. 2001;356(1412):1259-76.

Hierarchical organization and neuronal response latencies in the primate visual system
Petroni F, Panzeri S, Hilgetag C, Kötter R, Scannell J, Young M
NEUROCOMPUTING. 2001;38-40:1519-1523.

Simultaneity of responses in a hierarchical visual network
Petroni F, Panzeri S, Hilgetag C, Kötter R, Young M
NEUROREPORT. 2001;12(12):2753-9.


Spatial neglect and paradoxical lesion effects in the cat - A model based on midbrain connectivity
Hilgetag C
NEUROCOMPUTING. 2000;32-33:793-“799.

Anatomical connectivity defines the organization of clusters of cortical areas in the macaque monkey and the cat
Hilgetag C, Burns G, O'Neill M, Scannell J, Young M
PHILOS T R SOC B. 2000;355(1393):91-110.

Uniformity, specificity and variability of corticocortical connectivity
Hilgetag C, Grant S
PHILOS T R SOC B. 2000;355(1393):7-20.

Hierarchical organization of macaque and cat cortical sensory systems explored with a novel network processor
Hilgetag C, O'Neill M, Young M
PHILOS T R SOC B. 2000;355(1393):71-89.

Computational analysis of functional connectivity between areas of primate cerebral cortex
Stephan K, Hilgetag C, Burns G, O'Neill M, Young M, Kötter R
PHILOS T R SOC B. 2000;355(1393):111-26.

On imputing function to structure from the behavioural effects of brain lesions
Young M, Hilgetag C, Scannell J
PHILOS T R SOC B. 2000;355(1393):147-61.


Inter-hemispheric competition of sub-cortical structures is a crucial mechanism in paradoxical lesion effects and spatial neglect
Hilgetag C, Kötter R, Young M
PROG BRAIN RES. 1999;121:121-41.

The connectional organization of the cortico-thalamic system of the cat
Scannell J, Burns G, Hilgetag C, O'Neil M, Young M
CEREB CORTEX. 1999;9(3):277-99.

Models of paradoxical lesion effects and rules of inference for imputing function to structure in the brain
Young M, Hilgetag C, Scannell J
NEUROCOMPUTING. 1999;26-27:933-938.


Cluster structure of cortical systems in mammalian brains
Hilgetag C, Burns G


Optimization analysis of complex neuroanatomical data
Hilgetag C, O'Neill M, Young M


A solution to the binding problem?: Information processing
Golledge H, Hilgetag C, Tovée M
CURR BIOL. 1996;6(9):1092-1095.

Indeterminate organization of the visual system
Hilgetag C, O'Neill M, Young M
SCIENCE. 1996;271(5250):776-777.

Determining elementary modes of functioning in biochemical reaction networks at steady state
Schuster S, Hilgetag C, Schuster R

Elementary modes of functioning in biochemical reaction networks. Aspects of interpretation and application
Schuster S, Hilgetag C, Woods J, Fell D


A Novel network classifier and its application: Optimal hierarchical orderings of the cat visual system from anatomical data
Hilgetag C, O'Neill M, Scannell J, Young M

What information about the conserved-moiety structure of chemical reaction systems can be derived from their stoichiometry?
Schuster S, Hilgetag C
J PHYS CHEM C. 1995;99(20):8017-8023.

Non-metric multidimensional scaling in the analysis of neuroanatomical connection data and the organization of the primate cortical visual system
Young M, Scannell J, O'Neill M, Hilgetag C, Burns G, Blakemore C
PHILOS T R SOC B. 1995;348(1325):281-308.


On elementary flux modes in biochemical reaction systems at steady state
Schuster S, Hilgetag C
J BIOL SYST. 1994;02(02):165-182.

Detecting elementary modes of functioning in metabolic networks
Schuster S, Hilgetag C, Fell D

Use of convex analysis for the modelling of biochemical reaction systems
Schuster S, Hilgetag C, Schuster R, Höfer T
1994. System Modelling an Optimization - Lecture Notes in Control and Information Sciences. Springer, 365-374.

Letzte Aktualisierung aus dem FIS: 10.12.2018 - 00:31 Uhr