Gordon Pipa, Prof. Dr. rer. nat. - Publications

Neuroinformatics Institute for Cognitive Science, Osnabrück 
visual system and computational neuroscience

49 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2015 Toutounji H, Schumacher J, Pipa G. Homeostatic plasticity for single node delay-coupled reservoir computing. Neural Computation. 27: 1159-85. PMID 25826022 DOI: 10.1162/NECO_a_00737  1
2015 Aru J, Aru J, Priesemann V, Wibral M, Lana L, Pipa G, Singer W, Vicente R. Untangling cross-frequency coupling in neuroscience. Current Opinion in Neurobiology. 31: 51-61. PMID 25212583 DOI: 10.1016/j.conb.2014.08.002  1
2015 Gómez-Herrero G, Wu W, Rutanen K, Soriano MC, Pipa G, Vicente R. Assessing coupling dynamics from an ensemble of time series Entropy. 17: 1958-1970. DOI: 10.3390/e17041958  1
2015 Aswolinskiy W, Pipa G. RM-SORN: A reward-modulated self-organizing recurrent neural network Frontiers in Computational Neuroscience. 9. DOI: 10.3389/fncom.2015.00036  1
2015 Schumacher J, Wunderle T, Fries P, Jakel F, Pipa G. A statistical framework to infer delay and direction of information flow frommeasurements of complex systems Neural Computation. 27: 1555-1608. DOI: 10.1162/NECO_a_00756  1
2014 Schmitz SK, Hasselbach PP, Ebisch B, Klein A, Pipa G, Galuske RA. Application of Parallel Factor Analysis (PARAFAC) to electrophysiological data. Frontiers in Neuroinformatics. 8: 84. PMID 25688205 DOI: 10.3389/fninf.2014.00084  1
2014 Bingold TM, Just L, Cuca C, Zacharowski K, Mönch C, Mühl H, Wissing H, Pipa G, Rosenberger P, Bechstein WO, Paulus P, Scheller B. Preoperative interleukin-22 values add valuable information for outcome prediction following orthotopic liver transplantation: A preliminary study Annals of Transplantation. 19: 503-512. PMID 25300347 DOI: 10.12659/AOT.890977  1
2014 Castellano M, Plöchl M, Vicente R, Pipa G. Neuronal oscillations form parietal/frontal networks during contour integration. Frontiers in Integrative Neuroscience. 8: 64. PMID 25165437 DOI: 10.3389/fnint.2014.00064  1
2014 Toutounji H, Pipa G. Spatiotemporal computations of an excitable and plastic brain: neuronal plasticity leads to noise-robust and noise-constructive computations. Plos Computational Biology. 10: e1003512. PMID 24651447 DOI: 10.1371/journal.pcbi.1003512  1
2014 Ehinger BV, Fischer P, Gert AL, Kaufhold L, Weber F, Pipa G, König P. Kinesthetic and vestibular information modulate alpha activity during spatial navigation: a mobile EEG study. Frontiers in Human Neuroscience. 8: 71. PMID 24616681 DOI: 10.3389/fnhum.2014.00071  1
2014 Skulmowski A, Bunge A, Kaspar K, Pipa G. Forced-choice decision-making in modified trolley dilemma situations: A virtual reality and eye tracking study Frontiers in Behavioral Neuroscience. 8. DOI: 10.3389/fnbeh.2014.00426  1
2013 Haslinger R, Ba D, Galuske R, Williams Z, Pipa G. Missing mass approximations for the partition function of stimulus driven Ising models. Frontiers in Computational Neuroscience. 7: 96. PMID 23898262 DOI: 10.3389/fncom.2013.00096  1
2013 Haslinger R, Pipa G, Lewis LD, Nikolić D, Williams Z, Brown E. Encoding through patterns: regression tree-based neuronal population models. Neural Computation. 25: 1953-93. PMID 23607564 DOI: 10.1162/NECO_a_00464  1
2013 Pipa G, Grün S, van Vreeswijk C. Impact of spike train autostructure on probability distribution of joint spike events. Neural Computation. 25: 1123-63. PMID 23470124 DOI: 10.1162/NECO_a_00432  1
2013 Schumacher J, Toutounji H, Pipa G. An analytical approach to single node delay-coupled reservoir computing Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8131: 26-33. DOI: 10.1007/978-3-642-40728-4_4  1
2013 Castellano M, Pipa G. Memory trace in spiking neural networks Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8131: 264-271. DOI: 10.1007/978-3-642-40728-4_33  1
2012 Haslinger R, Pipa G, Lima B, Singer W, Brown EN, Neuenschwander S. Context matters: the illusive simplicity of macaque V1 receptive fields. Plos One. 7: e39699. PMID 22802940 DOI: 10.1371/journal.pone.0039699  1
2012 Pipa G, Chen Z, Neuenschwander S, Lima B, Brown EN. Mapping of visual receptive fields by tomographic reconstruction. Neural Computation. 24: 2543-78. PMID 22734491 DOI: 10.1162/NECO_a_00334  1
2012 Schumacher J, Haslinger R, Pipa G. Statistical modeling approach for detecting generalized synchronization Physical Review E - Statistical, Nonlinear, and Soft Matter Physics. 85. DOI: 10.1103/PhysRevE.85.056215  1
2011 Scheller B, Castellano M, Vicente R, Pipa G. Spike train auto-structure impacts post-synaptic firing and timing-based plasticity. Frontiers in Computational Neuroscience. 5: 60. PMID 22203800 DOI: 10.3389/fncom.2011.00060  1
2011 Pérez T, Garcia GC, Eguíluz VM, Vicente R, Pipa G, Mirasso C. Effect of the topology and delayed interactions in neuronal networks synchronization. Plos One. 6: e19900. PMID 21637767 DOI: 10.1371/journal.pone.0019900  1
2011 Gerhard F, Haslinger R, Pipa G. Applying the multivariate time-rescaling theorem to neural population models. Neural Computation. 23: 1452-83. PMID 21395436 DOI: 10.1162/NECO_a_00126  1
2011 Gerhard F, Pipa G, Lima B, Neuenschwander S, Gerstner W. Extraction of Network Topology From Multi-Electrode Recordings: Is there a Small-World Effect? Frontiers in Computational Neuroscience. 5: 4. PMID 21344015 DOI: 10.3389/fncom.2011.00004  1
2011 Uhlhaas PJ, Pipa G, Neuenschwander S, Wibral M, Singer W. A new look at gamma? High- (>60 Hz) γ-band activity in cortical networks: function, mechanisms and impairment. Progress in Biophysics and Molecular Biology. 105: 14-28. PMID 21034768 DOI: 10.1016/j.pbiomolbio.2010.10.004  1
2011 Scheller B, Pipa G, Kertscho H, Lauscher P, Ehrlich J, Habler O, Zacharowski K, Meier J. Low hemoglobin levels during normovolemia are associated with electrocardiographic changes in pigs Shock. 35: 375-381. PMID 20856175 DOI: 10.1097/SHK.0b013e3181f6aa44  1
2011 Vicente R, Wibral M, Lindner M, Pipa G. Transfer entropy--a model-free measure of effective connectivity for the neurosciences. Journal of Computational Neuroscience. 30: 45-67. PMID 20706781 DOI: 10.1007/s10827-010-0262-3  1
2011 Pipa G, Munk MHJ. Higher order spike synchrony in prefrontal cortex during visual memory Frontiers in Computational Neuroscience. DOI: 10.3389/fncom.2011.00023  1
2011 Lazar A, Pipa G, Triesch J. Emerging Bayesian priors in a self-organizing recurrent network Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6792: 127-134. DOI: 10.1007/978-3-642-21738-8_17  1
2010 Haslinger R, Pipa G, Brown E. Discrete time rescaling theorem: determining goodness of fit for discrete time statistical models of neural spiking. Neural Computation. 22: 2477-506. PMID 20608868 DOI: 10.1162/NECO_a_00015  1
2009 Lazar A, Pipa G, Triesch J. SORN: a self-organizing recurrent neural network. Frontiers in Computational Neuroscience. 3: 23. PMID 19893759 DOI: 10.3389/neuro.10.023.2009  1
2009 Pipa G, Städtler ES, Rodriguez EF, Waltz JA, Muckli LF, Singer W, Goebel R, Munk MH. Performance- and stimulus-dependent oscillations in monkey prefrontal cortex during short-term memory. Frontiers in Integrative Neuroscience. 3: 25. PMID 19862343 DOI: 10.3389/neuro.07.025.2009  1
2009 Jurjut OF, Nikolić D, Pipa G, Singer W, Metzler D, MureÅŸan RC. A color-based visualization technique for multielectrode spike trains. Journal of Neurophysiology. 102: 3766-78. PMID 19846620 DOI: 10.1152/jn.00758.2009  1
2009 Uhlhaas PJ, Pipa G, Lima B, Melloni L, Neuenschwander S, Nikoli? D, Singer W. Neural synchrony in cortical networks: history, concept and current status. Frontiers in Integrative Neuroscience. 3: 17. PMID 19668703 DOI: 10.3389/neuro.07.017.2009  1
2009 Scheller BCA, Daunderer M, Pipa G. General anesthesia increases temporal precision and decreases power of the brainstem auditory-evoked response-related segments of the electroencephalogram Anesthesiology. 111: 340-355. PMID 19602953 DOI: 10.1097/ALN.0b013e3181acf7c0  1
2009 Moca VV, Scheller B, Mureşan RC, Daunderer M, Pipa G. EEG under anesthesia-Feature extraction with TESPAR Computer Methods and Programs in Biomedicine. 95: 191-202. PMID 19371961 DOI: 10.1016/j.cmpb.2009.03.001  1
2008 Vicente R, Gollo LL, Mirasso CR, Fischer I, Pipa G. Dynamical relaying can yield zero time lag neuronal synchrony despite long conduction delays. Proceedings of the National Academy of Sciences of the United States of America. 105: 17157-62. PMID 18957544 DOI: 10.1073/pnas.0809353105  1
2008 Pipa G, Wheeler DW, Singer W, Nikolić D. NeuroXidence: reliable and efficient analysis of an excess or deficiency of joint-spike events. Journal of Computational Neuroscience. 25: 64-88. PMID 18219568 DOI: 10.1007/s10827-007-0065-3  1
2008 Wu W, Wheeler DW, Staedtler ES, Munk MH, Pipa G. Behavioral performance modulates spike field coherence in monkey prefrontal cortex. Neuroreport. 19: 235-8. PMID 18185115 DOI: 10.1097/WNR.0b013e3282f49b29  1
2008 Ullner E, Vicente R, Pipa G, García-Ojalvo J. Contour integration and synchronization in neuronal networks of the visual cortex Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5164: 703-712. DOI: 10.1007/978-3-540-87559-8_73  1
2008 Pipa G, Vicente R, Tikhonov A. Auto-structure of presynaptic activity defines postsynaptic firing statistics and can modulate STDP-based structure formation and learning Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5164: 413-422. DOI: 10.1007/978-3-540-87559-8_43  1
2008 Lazar A, Pipa G, Triesch J. Predictive coding in cortical microcircuits Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5164: 386-395. DOI: 10.1007/978-3-540-87559-8_40  1
2007 Lazar A, Pipa G, Triesch J. Fading memory and time series prediction in recurrent networks with different forms of plasticity. Neural Networks : the Official Journal of the International Neural Network Society. 20: 312-22. PMID 17556114 DOI: 10.1016/j.neunet.2007.04.020  1
2007 Huang D, Pipa G. Achieving synchronization of networks by an auxiliary hub Epl. 77. DOI: 10.1209/0295-5075/77/50010  1
2007 Pipa G, Riehle A, Grün S. Validation of task-related excess of spike coincidences based on NeuroXidence Neurocomputing. 70: 2064-2068. DOI: 10.1016/j.neucom.2006.10.142  1
2007 Lazǎr A, Mureşan R, Städtler E, Munk MHJ, Pipa G. Importance of electrophysiological signal features assessed by classification trees Neurocomputing. 70: 2017-2021. DOI: 10.1016/j.neucom.2006.10.136  1
2007 Vicente R, Pipa G, Fischer I, Mirasso CR. Zero-lag long range synchronization of neurons is enhanced by dynamical relaying Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4668: 904-913.  1
2005 Mureşan RC, Pipa G, Wheeler DW. Single-unit recordings revisited: Activity in recurrent microcircuits Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3696: 153-159.  1
2003 Pipa G, Grün S. Non-parametric significance estimation of joint-spike events by shuffling and resampling Neurocomputing. 52: 31-37. DOI: 10.1016/S0925-2312(02)00823-8  1
2003 Pipa G, Diesmann M, Grün S. Significance of joint-spike events based on trial-shuffling by efficient combinatorial methods Complexity. 8: 79-86. DOI: 10.1002/cplx.10085  1
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