Self-Constructing
Computing Systems
SECO Project
Private Web
User:
Password:
Not yet a member ?

PUBLICATIONS List




Selected list of publications related to the project.

Click on "Author" to achieve an alphabetical list.   //   Click on "Year" to achieve a chronological list.

AuthorTitleRef.YearFile
Dehay C, Kennedy H Cell-cycle control and cortical development. Nat Rev Neuro 82007
Lukaszewicz A, Savatier P, Cortay V, Giroud P, Huissoud C, Berland M, Kennedy H, Dehay C G1 phase regulation, area-specific cell cycle control, and cytoarchitectonics in the primate cortex. Neuron 47:353-364.2005
Huberman AD, Dehay C, Berland M, Chalupa LM, Kennedy H Early and rapid targeting of eye-specific axonal projections to the dorsal lateral geniculate nucleus in the fetal macaque. J Neurosci 25:4014-4023.2005
Binzegger T, Douglas R, Martin K A Quantitative Map of the Circuit of Cat Primary Visual CortexJ Neurosci 24 (39):8441-84532004
Douglas R, Martin K Neuronal Circuits of the NeocortexAnnu Rev Neurosci 27:419-512004
Hahnloser R, Seung S, Slotine JJ Permitted and forbidden sets in symetric threshold-linear networksNeural Comput 15:621-6382003
Maass W, Natschläger T, Makram H Real-Time Computing Without Stable States : A New Framework for Neural Computation Based on PerturbationsNeural Comput 14:2531-25602002
Maass W, Joshi P, Sontag ED Computational Aspects of Feedback in Neural Circuits PLOS Comput Biol 3:1652007
Sussillo D, Toyoizumi T, Maass W Self-tuning of Neural Circuits through Short-term Synaptic PlasticityJ Neurophysiol in press2007
Cook M, Rothemund PW, Winfree E Self-assembled circuit patternsLNCS : DNA Computers 9 : 91-1072004
Hahnloser RH, Sarpeshkar R, Mahowald MA, Douglas RJ, Seung HS Digital selection and analogue amplification coexist in a cortex-inspired silicon circuitNature 405:947-9512000
Lücke J, Von der Malsburg C Rapid Correspondence Finding in Networks of Cortical ColumnsICANN 668-6772006
Roth F, Siegelman H, Douglas RJ The Self-Construction and Repair of a Foraging Organism by Explicitly Specified Development from a Single CellMIT Press : in press2007
Pilaz LJ, Patti D, Marcy G, Doerflinger N, Cortay V, Kennedy H, Dehay C Role of G1 phase regulation in corticogenesis. Abstract n° 37, Brain Development Symposium p.61, London, UK 2008
Fish JL, Dehay C, Kennedy H, Huttner WB Making bigger brains-the evolution of neural-progenitor-cell divisionJ Cell Sci 121(17):2783-93.2008
Gautier E, Doerflinger N, Cortay V, Huissoud C, Giroud P, Berland M, Kennedy H, Dehay C Role of p27kip1 in modulating radial migration in the neocortex.FENS Abstr. vol 4, 041.152008
Steimer A, Douglas RJ Belief-Propagation in Networks of Spiking NeuronsNeural Computation 2009
Zubler F, Douglas RJ CX3D: a java package for simulation of cortical development in 3DNeuroinformatics Stockholm, Sweden, Sept 07 - 09, 2008.2008
Zubler F, Douglas RJ Simulation of neural development with CX3DDutch Endo-Neuro-Psycho Meeting, Doorwerth2008
Zubler F, Pfister S, Goehlsdorf D, Douglas RJ Computer simulation of neocortical developmentFENS, Geneva 2008
Bauer R, Zubler F, Douglas R Simulation of reaction-diffusion models as pattern formation mechanisms for axon guidanceZNZ Symposium, Zurich2008
Goehlsdorf D, Zubler F, Cook M Robust simulation of cell-interactions using three-dimensional Delaunay triangulationsFENS Forum poster presentation2008
Conradt J, Markov N, Pfister S, Pilaz JL, Kennedy H, Douglas RJ Neocortical NeurotechnologiesEU Comission ICT Conference on Information Technology2008
Zhu J, von der Malsburg C Steps toward numerical mode analysis of organizing systemsJ Mathematic Biol2008
Zhu, J Synaptic formation rate as a control parameter in a model for the ontogenesis of retinotopyProc. ICANN, Springer, Lecture Notes in Comp Sci 462-4702008
Legenstein R, Pecevski D, Maass W A learning theory for reward-modulated spike-timing-dependent plasticity with application to biofeedback.PLoS Comput Biol 4(10):1-272008
Neumann G, Peters J Learning complex movements by sequencing simpler motion templatesICML2009
Neumann G, Peters J Fitted Q-iteration by advantage weighted regressionIn Proc. NIPS 2008: Advances in Neural Information Processing Systems 22, MIT Press2009
Schrauwen B, Büsing L, Legenstein R On computational power and the order-chaos phase transition in reservoir computingIn Proc. NIPS 2008: Advances in Neural Information Processing Systems 22, MIT Press.2009
Häusler S, Schuch K, Maass W Motif distribution and computational performance of two data-based cortical microcircuit templates. J Phys2009
Maass W Motivation, theory, and applications of Liquid State Machines. In: B. Cooper, A. Sorbi (eds.): Computability in Context: Computation and Logic in the Real World, Imperial College Press2009
Buonomano D, Maass W State-dependent computations: spatiotemporal processing in cortical networks.Nature Reviews in Neuroscience, 10(2): 113-1252009
Nessler B, Pfeiffer M, Maass W Hebbian learning of Bayes optimal decisionsIn Proc. NIPS 2008: Advances in Neural Information Processing Systems 22. MIT Press2009
Abellan A, Menuet A, Dehay C, Medina L, Retaux S Differential expression of LIM-homeodomain factors in Cajal-Retzius cells of primates, rodents and birdsCereb Cortex 20(8): 1788-1798 2010
Pilaz LJ, Patti D, Marcy G, Ollier E, Pfister S, Douglas RJ, Betizeau M, Gautier E, Cortay V, Doerflinger N, Kennedy H, Dehay C Forced G1 phase reduction alters mode of division, neuron number and laminar phenotype in the cerebral cortex. PNAS vol 106(51): 21924-219292009
Dehay C, Kennedy H Transcriptional regulation and alternative splicing make for better brains. Neuron 62 (4): 455-72009
Betizeau M, Cortay V, Gautier E, Patti D, Kennedy H, Dehay C Characterisation Of The Primate Cortex Specific Germinal Zone: The Outer Subventricular Zone (OSVZ)ISDN 2010, 18th Biennial Conference of the International Society for Developmental Neuroscience. Portugal2010
Dehay C, Pilaz LJ, Kennedy H Uncharted territories of G1 phase regulation: how to turn a mouse cortex into a primate cortex?Evolution of Brain, Behaviour & Intelligence Conference, Wellcome Trust, Cambridge, 9th –12th September, invited communication. 2009
Dehay C, Pilaz LJ, Patti D, Ollier E, Marcy G, Pfister S, Douglas RJ, Doerflinger N, Cortay V, Kennedy H Role of G1 phase regulation in corticogenesis.32nd Annual Meeting of the Japan Neuroscience Society, Nagoya, Japan, September 16-182009
Dehay C, Pilaz, LJ, Pfister S, Douglas RJ, Patti D, Doerflinger N, Cortay V, Betizeau M, Gautier E, and Kennedy H G1 phase duration impacts on mode of division, neuron number and laminar phenotype in the cerebral cortex. 7eme FENS Meeting, Amsterdam2010
Dehay C, Kennedy H Role of cell-cycle parameters in development and evolution of the primate neocortexISDN, 18th Biennial Conference of the International Society for developmental neurosciences. Portugal.2010
Gautier E, Doerflinger N, Cortay V, Huissoud C, Giroud P, Berland M, Kennedy H, Dehay C Role of p27kip1 in modulating radial migration in the neocortex.Program No. 230.19/B9, 2008 Neuroscience Meeting Planner. Washington: Society for Neuroscience, 2008.2008
Gautier E, Cortay V, Betizeau M, Doerflinger N, Kennedy H, Dehay C Area-Specific Dynamics Of Proliferation and Migration During Primate Corticogenesis: Role Of The Modular Protein p27kip1ISDN 2010, 18th Biennial Conference of the International Society for Developmental Neuroscience. Portugal2010
Kennedy H, Markov NT, Ercsey-Ravasz MM, Gariel MA, Vezoli J, Quilodran R, Falchier A, Huissoud C, Clavagnier S, Sallet J, Giroud P, Lamy C, Misery P, Sappey-Marinier D, Barone P, Dehay C, Knoblauch K, Toroczkai Z Heterogeneity of connection strengths and a distance rule specify cortical networks. 7eme FENS Meeting, Amsterdam, 2010.2010
Knoblauch K, Gariel MA, Markov NT, Vezoli J, Misery P, Lamy C, Kennedy H Laminar projection patterns in macaque cortex analyzed as ordinal relations using generalized linear models.7eme FENS Meeting, Amsterdam2010
Misery P, Markov NT, Falchier A, Lamy C, Vezoli J, Quilodran R, Giroud P, Gariel MA, Ercsey-Ravasz MM, Pilaz LJ, Huissoud C, Barone P, Dehay C, Toroczkai Z, Van Essen DC, Kennedy H, Knoblauch K Area-specific visual cortical connectivity profiles revealed by quantitative brain-wide analysis7eme FENS Meeting, Amsterdam2010
Pilaz LJ, Patti D, Kennedy H, Dehay C In utero electroporation-mediated gene transfer transfects a cohort of synchronously cycling cortical precursors: necessity to develop alternative methods of measuring cell-cycle kinetics.7eme FENS Meeting, Amsterdam2010
Pilaz LJ, Patti D, Marcy G, Doerflinger N, Cortay V, Kennedy H, Dehay C Role of G1 phase regulation in corticogenesisCortical development meeting, 22-25 May Chania, Crete, Greece 2008
Pilaz LJ, Patti D, Marcy G, Doerflinger N, Cortay V, Kennedy H, Dehay C Role of G1 phase regulation in corticogenesisFENS Abstr. vol 4, 009.18, 2008 2008
Pilaz LJ, Patti D, Marcy G, Doerflinger N, Cortay V, Kennedy H, Dehay C Role of G1 phase regulation in corticogenesis.Program No. 24.2/A24, 2008 Neuroscience Meeting Planner. Washington: Society for Neuroscience2008
Vezoli J, Gariel MA, Markov NT, Falchier A, Quilodran R, Anderson JC, Dehay C, Douglas R, Martin KAC, Barone P, Toroczkai Z, Knoblauch K, Kennedy H Neocortical Strong Loops: A framework for consciousness? Toward a science of consciousnessHong Kong, China, June 11-14.2009
Rutishauser U, Douglas RJ, Slotine JJ Stability and recursive construction of networks of winner-take-all circuitsNeural Computation 23: 735-7732010
Zubler F, Douglas R A framework for modeling the growth and development of neurons and networksFront. Comput. Neurosci. 3(25)2009
Zubler F, Hauri A, Cook M, Douglas R A Model of Computation for Biological and Neural Self-AssemblyUnconventional Computation (submitted)2011
Bauer R, Zubler F, Douglas RJ Simulating the Development of Self-organizing Winner-Take-All NetworksZNZ Symposium.2009
Bauer R, Zubler F, Douglas RJ Axon Guidance using Turing Patterns in the CortexZNZ Symposium2008
Cook M, Jug F, Krautz C Sharpening Projections: Inter-Area projections can be effectively sharpened by biologically plausible learning mechanismsCNS2009
Goehlsdorf D, Zubler F, Cook M Robust simulation of cell-interactions using three-dimensional Delaunay triangulationsZNZ Symposium 2008
Hauri A, Zubler F, Douglas RJ Simulation of the developmental migration of neocortical inhibitory neurons, using CX3DINCF Neuroinformatics Congress Kobe, Japan2010
Pfister S, Hauri A, Zubler Z, Bauer R, Whatley A, Douglas R Computer simulation of cortical development2nd INCF Congress of Neuroinformatics 2009
Pfister S, Hauri A, Zubler F, Bauer R, Whatley A, Douglas RJ Computer simulation of cortical developmentZNZ Symposium 2009
Pfister S, Douglas RJ Cortical development as a case example for understanding self-constructing systemsBIO-ICT Convergence, Brussels2010
Pfister S, Douglas RJ Encoding developmental lineage trees in a gene-like networkBIO-ICT Convergence, Brussels2010
Zubler F, Douglas RJ An instruction code for the explicit programming of axonal growth patterns2010 IEEE World Congress on Computational Intelligence July 18-23, 2010, Barcelona2010
Anderson JC, da Costa NM, Martin KA The W cell pathway to cat primary visual cortexJ Comp Neurol 516(1): 20-35.2009
da Costa NM, Hepp K, Martin KAC A systematic random sampling scheme optimized to detect the proportion of rare synapses in the neuropilJ Neurosci Methods 180(1): 77-812009
Anderson JC, da Costa NM, Martin KAC The W projection to cat primary visual cortex, including layer 1, that "crowning mystery"Meeting of the Swiss Society for Neuroscience2009
Bergman U, von der Malsburg C Self-Organization of Topographic Bilinear Networks for Invariant RecognitionNeural Computation, under revision2011
Büsing L, Maass W A spiking neuron as information bottleneckNeural Computation 22(8): 1-32 1961-19922010
Klampfl S, Maass W A theoretical basis for emergent pattern discrimination in neural systems through slow feature extractionNeural Computation 22(12): 2979 - 30352010
Legenstein R, Chase SA, Schwartz AB, Maass W A reward-modulated Hebbian learning rule can explain experimentally observed network reorganization in a brain control taskJ Neurosci 30(25): 8400 – 84102009
Pfeiffer M, Nessler B, Douglas R, Maass W Reward-modulated Hebbian learning of decision makingNeural Computation 22: 1399-1444 2010
Klampfl S, Maass W Replacing supervised classification learning by Slow Feature Analysis in spiking neural networksNIPS 2009: Advances in Neural Information Processing Systems 22, 2010. MIT Press2010
Legenstein R, Chase SA, Schwartz AB, Maass W Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learningNIPS 2009: Advances in Neural Information Processing Systems 22, 2010. MIT Press.2010
Nessler B, Pfeiffer M, Maass W STDP enables spiking neurons to detect hidden causes of their inputsNIPS 2009: Advances in Neural Information Processing Systems 22, 2010. MIT Press.2010
Butz M, Worgotter F, Van Ooyen A Activity-dependent structural plasticityBrain Research Reviews 60(2): 287-305.2009
Jansen R, Linkenkaer-Hansen K, Heistek T, Timmerman J, Mansvelder HD, Brussaard AB, De Gunst M, Van Ooyen A Inbred mouse strains differ in multiple hippocampal activity traitsEur. J. Neuroscience 30(6): 1092-1100.2009
Kaiser M, Hilgetag CC, Van Ooyen A A simple rule for axon outgrowth and synaptic competition generates realistic connection lengths and filling fractionsCerebral Cortex 19(12): 3001-30102009
Koene R, Tijms B, van Hees P, Postma F, de Ridder S, Ramakers G, van Pelt J, van Ooyen A NETMORPH: A framework for the stochastic generation of large scale neuronal networks with realistic neuron morphologiesNeuroinformatics 7(3): 195-210.2009
Le Feber J, van Pelt J, Rutten W Latency related development of functional connections in cultured cortical networksBiophysical Journal 96(8): 3443-3450.2009
Montez T, Poil SS, Jones B, Manshanden I, Verbunt JPA, Van Dijk BW, Brussaard AB, Van Ooyen A, Stam CJ, Scheltens P, Linkenkaer-Hansen K Altered temporal correlations in parietal alpha and prefrontal theta oscillations in early-stage Alzheimer diseasePNAS 106(5): 1614-1619.2009
Van Elburg RAJ, Van Ooyen A Generalization of the event-based Carnevale-Hines integration scheme for integrate-and-fire models.Neural Computation 21(7): 1913-19302009
Butz M, Wörgötter F, Van Ooyen A A model for cortical remapping and structural plasticity following focal retinal lesions.BMC Neuroscience 2009, 10 (Suppl 1): P206. 18th Annual Computational Neuroscience Meeting, Berlin, Germany, 18-23 July 2009.2009
Butz M, Wörgötter F, Van Ooyen A Modelling experience-dependent structural plasticity in cortical circuits8th Dutch Endo-Neuro-Psycho Meeting, Doorwerth, The Netherlands, 3-5 June 2009, p. 171.2009
De Ridder A, Postma F, Hoedemaker S, Koene R, van Pelt J, van Ooyen A Simulated Networks with Realistic Neuronal Morphologies show Small-World ConnectivityEighteenth Annual Computational Neuroscience Meeting CNS, July 18th – 23rd 2009, Berlin, Germany2009
Gonzalez OJA, Van Elburg R, Mansvelder H, Van Pelt J, Van Ooyen A Influence of external input on waxing and waning of neuronal network oscillations.8th Dutch Endo-Neuro-Psycho Meeting, Doorwerth, The Netherlands, 3-5 June, p. 193. 2009
Gonzalez OJA, Van Elburg R, Mansvelder H, Van Pelt J, Van Ooyen A Influence of external input on waxing and waning of neuronal network oscillationsBMC Neuroscience, 10 (Suppl 1): P257. 18th Annual Computational Neuroscience Meeting, Berlin, Germany, 18-23 July.2009
Groen MR, Meredith RM, Sterratt DC, Mansvelder HD, Van Ooyen A Back propagating action potential and distant-dependent calcium signalling in CA1 pyramidal neurons.BMC Neuroscience, 10 (Suppl 1): P336. 18th Annual Computational Neuroscience Meeting, Berlin, Germany, 18-23 July.2009
Groen MR, Meredith RM, Sterratt DC, Mansvelder HD, Van Ooyen A Distant-dependent calcium signalling in CA1 pyramidal neurons8th Dutch Endo-Neuro-Psycho Meeting, Doorwerth, The Netherlands, 3-5 June, p. 1942009
Kaiser M, Hilgetag CC, Van Ooyen A Random axon outgrowth and synaptic competition generate realistic connection lengths and filling fractions. BMC Neuroscience 2009, 10 (Suppl 1): P58. 18th Annual Computational Neuroscience Meeting, Berlin, Germany, 18-23 July.2009
Olde Scheper T, Mansvelder H, Rhiannon M, van Pelt J, van Ooyen A Dynamic Spike Timing Dependent Plasticity Rules7th FENS forum of European Neuroscience, Amsterdam, The Netherlands, July 3-7, 2010.2010
Van Elburg RAJ, Bosman, LWJ, Ridder MC, Brussaard AB, Van Ooyen A GABAA receptor plasticity provides homeostasis of neuronal activity in a neocortical microcircuit model.BMC Neuroscience 2009, 10 (Suppl 1): P218. 18th Annual Computational Neuroscience Meeting, Berlin, Germany, 18-23 July2009
Van Pelt J, Sander de Ridder, Sacha Hoedemaker, Frank Postma, Randal A. Koene, Arjen van Ooyen Emerging synaptic connectivity in simulated networks of outgrowing neurons with realistic morphologies using NETMORPH. 2nd INCF Congress of Neuroinformatics. Pilsen, Czech Republic, September 6-8.2009
Van Pelt J Organization of Workshop Advances in the automatic analysis of multi-dimensional data 2nd INCF Congress of Neuroinformatics, at the 2nd INCF Congress of Neuroinformatics, September 6-8, Pilsen, Czech Republic.2009
Van Pelt J Stimulation induced transitions in spontaneous firing rates in cultured neuronal networks also occurs in the presence of synaptic plasticity blocker KN93Second International Conference on Cognitive Neurodynamics, November 15-19, Hangzhou, China.2009
Van Pelt J Stochasticity and constraints in modeling neuronal morphological development. Second Polish-Norwegian Neuroinformatics Workshop, January 14-15, Warsaw, Poland.2010
Van Pelt J Analysing and Modelling the Neural System in Health and DiseaseFebruary 1-3, 2010, Informatics Forum, Edinburgh, Scotland, INCF and Neuroinformatics in the Netherlands.2010
Watling LA, Geerts R, Roelfsema PR, Van Ooyen A The Attention-Gated Reinforcement Learning Model can explain experimentally observed changes in tuning curves that follow category learning8th Dutch Endo-Neuro-Psycho Meeting, Doorwerth, The Netherlands, 3-5 June p. 210.2010
Watling L, Roelfsema P, Van Ooyen A The attention-gated reinforcement learning model: performance and predictions.Frontiers in Systems Neuroscience. Conference Abstract: Computational and systems neuroscience. Computational and Systems Neuroscience, Salt Lake City, Utah, USA, 26 February - 3.2009
Bonnefont J, Laforge T, Plastre O, Beck B, Sorce S, Dehay C, Krause KH Primate-specific RFPL1 gene controls cell-cycle progression through cyclin B1/Cdc2 degradationCell Death Differ 18(2):293-3032011
Pfister S, Dehay C, Kennedy H, Douglas RJ Projection of cell lineages in low dimensionsProceedings of NeuroComp2010, 23:735-773, Lyon2010
Pinto L, Drechsel D, Schmid MT, Ninkovic J, Irmler M, Brill MS, Restani L, Gianfranceschi L, Cerri C, Weber SN, Tarabykin V, Baer K, Guillemot F, Beckers J, Zecevic N, Dehay C, Caleo M, Schorle H, Götz M AP2gamma Regulates Basal Progenitor Fate in a Region- and Layer-Specific Manner in the Developing CortexNat Neurosci 12(10): 1229-372009
Kennedy H, Douglas RJ Making headway in successfully applying the way in which the brain works to man-made technologyFET Conference Prague, April 21 – 232009
Pfister S, Dehay C, Kennedy H, Douglas RJ Finite state machine model of cortical developmentNeuroComp2010, Lyon, 6-8 October2010
Cook M, Jug F, Krautz C, Steger A Unsupervised Learning of RelationsInternational Conference on Artificial Neural Networks (1), pp. 164-1732010
Cook M, Jug F, Krautz C Neuronal Projections Can Be Sharpened by a Biologically Plausible Learning Mechanismsubmitted to ICANN 2011
Bauer R, Pfister S, Douglas RJ Self-organizing Winner-Take-All networksNeuroinformatics INCF 2010 Kobe, Japan, 4-6 Sept. 2010
Douglas RJ Neuromorphic Self-ConstructionNeuroComp2010, Lyon, 6-8 October Plenary Lecture2010
Hauri A, Da Costa N, Douglas RJ, Martin K Topology of thalamic axons suggests two developmental modes during innervation of visual cortexNeuroinformatics INCF 2010 Kobe, Japan, 4-6 Sept2010
Da Costa NM, Martin KAC How thalamus connects to spiny stellates in the cat’s visual cortexJ Neurosci 31(8): 2925-29372011
Da Costa NM, Martin KAC The diversity of thalamorecipient spine morphology in cat visual cortex and its implication for synaptic plasticity7th FENS Forum of European, Amsterdam, The Netherlands2010
Da Costa NM, Hepp K and Martin KAC A systematic random sampling scheme optimized to detect the proportion of rare synapses in the neuropilMeeting of the Swiss Society for Neuroscience2009
Bergmann U, Von der Malsburg C A Bilinear Model for Consistent Topographic RepresentationsInternational Conference on Artificial Neural Networks2010
Zhu J, Bergmann U, Von der Malsburg U Self-Organization of Steerable Topographic Mappings as Basis for Translation Invariance. International Conference on Artificial Neural Networks 2010
Zhu J Self-organization of two interacting winner-take-all systemsInternational Joint Conference on Neural Networks (IJCNN)2010
Nikolic D, Haeusler S, Singer W, Maass W Distributed fading memory for stimulus properties in the primary visual cortexPLoS Biology, 7(12):1-192009
Roelfsema PR, Van Ooyen A, Watanabe T Perceptual learning rules based on reinforcers and attentionTrends in Cognitive Sciences 14: 64-712010
Schmitz SK, Hjorth JJ, Joemai RMS, Wijntjes R, Eijgenraam S, De Bruijn P, Georgiou C, De Jong APH, Van Ooyen A, Verhage M, Cornelisse LN, Toonena RF, Veldkamp W Automated analysis of neuronal morphology, synapse number and synaptic recruitmentJ Neuroscience Meth 195(11): 185–1932011
Van Elburg RAJ, Van Ooyen A Impact of dendritic size and dendritic topology on burst firing in pyramidal cellsPloS Computational Biology 6(5): e10007812010
Van Pelt A, Carnell A, De Ridder S, Mansvelder HD, Van Ooyen A An algorithm for finding candidate synaptic sites in computer generated networks of neurons with realistic morphologiesFrontiers in Computational Neuroscience2010
Baljon PL Stabilisation and plasticity of network activity during early cortical developmentSECO Progress Meeting, October 4-5, 2010, Lyon2010
Butz M, Van Ooyen A, Worgotter A model for cortical rewiring following differentiation and focal strokeFrontiers in Computational Neuroscience2009
Carnell A A geometric approach to synapse formation in NETMORPHSECO Progress Meeting, October 4-5, 2010, Lyon2010
Carnell A, De Ridder S, Mansvelder H, Van Pelt, Van Ooyen A Simulated networks with realistic neuronal morphologies show small world connectivity7th FENS Forum of European Neuroscience, July 3-7, 2010, Amsterdam, the Netherlands2010
De Ridder A, Postma, F, Hoedemaker S, Koene R, Van Pelt J, Van Ooyen A Simulated networks with realistic neuronal morphologies show small-world connectivityBMC Neuroscience 2009, 10 (Suppl 1): P5. 18th Annual Computational Neuroscience Meeting, Berlin, Germany, 18-23 July2009
Gonzales A, Van Aerde K, Van Elburg R, Mansvelder H, Van Pelt J, Van Ooyen A Understanding waxing and waning of cortical oscillations: A modeling approach7th FENS Forum of European Neuroscience, July 3-7, 2010, Amsterdam, the Netherlands2010
Hjorth J Does tubulin dynamics result in competition between outgrowing neurites?SECO Progress Meeting, October 4-5, 2010, Lyon2010
Olde Scheper T Dynamic SDTP ModelSECO Progress Meeting, October 4-5, 2010, Lyon2010
Olde Scheper T, Meredith R, Mansvelder H, Van Pelt J, Van Ooyen A Dynamic spike timing dependent plasticity rules7th FENS Forum of European Neuroscience, July 3-7, 2010, Amsterdam, the Netherlands2010
Van Pelt J Neuronal Morphology – Reconstruction, Quantification and Modeling at the Lorentz Workshop Modeling with Images in the Life SciencesLorentz Center, Leiden, the Netherlands2010
Van Pelt J NETMORPH - A simulation tool for studying the development and function of neuronal morphologies and networksWorkshop Single Neuron Morphologies & Computation, July 8-9, 2010. VU University Amsterdam, the Netherlands2010
Van Pelt J, Carnell A, De Ridder A, Mansvelder H, Van Ooyen A An algorithm for finding candidate synaptic sites in computer generated networks of neurons with realistic morphologies3rd INCF Congress on Neuroinformatics, August 30 – September 1, 2010, Kobe, Japan2010
Van Pelt J, De Ridder S, Hoedemaker S, Postma F, Koene RA, Van Ooyen A Emerging synaptic connectivity in simulated networks of outgrowing neurons with realistic morphologies using NETMORPH2nd INCF Congress of Neuroinformatics. Pilsen, Czech Republic, September 6-82009
Büsing L, Bill J, Nessler B, Maass W Neural dynamics as sampling: a model for stochastic computation in recurrent networks of spiking neurons.PLoS Computational Biology2011
Legenstein R, Maass W Branch-specific plasticity enables self-organization of nonlinear computation in single neurons.J Neurosci 31(30): 10787-108022011
Van Pelt J, Uylings HBM The flatness of bifurcations in 3D in dendritic trees: an optimal design.Frontiers in Computational Neuroscience, volume 52012
     

Back

Print