Institut für Kognitionswissenschaft

Institute of Cognitive Science

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Journal Articles



(81) Classifying Bio-Inspired Model of Point-Light Human Motion Using Echo State Networks  Artificial Neural Networks and Machine Learning – ICANN 2017, pp.84-91, P. Tanisaro, C. Lehman, L. Sütfeld, G. Pipa, G. Heidemann DOI: 10.1007/978-3-319-68600-4_11

(80) Human decisions in moral dilemmas are largely described by Utilitarianism: virtual car driving study provides guidelines for ADVs
MA Wächter, A Faulhaber, F Blind, S Timm, A Dittmer, LR Sütfeld,  A Stephan, G Pipa, P König
arXiv preprint arXiv:1706.07332

(79) Cortical Spike Synchrony as a Measure of Input Familiarity
C Korndörferr, E Ullner, J García, G Pipa
Neural Computation

(78) Neuromorphic computation in multi-delay coupled models
P Nieters, J Leugering, G Pipa
IBM Journal of Research and Development 61 (2/3), 8: 7-8: 9

(77) Using virtual reality to assess ethical decisions in road traffic scenarios: applicability of value-of-life-based models and influences of time pressure
LR Sütfeld, R Gast, P König, G Pipa
Frontiers in behavioral neuroscience 11

(76) No effect of α‑GPC on lucid dream induction or dream content
S Kern, K Appel, M Schredl, G Pipa
Somnologie, 1-6

(75) Encoding And Decoding Dynamic Sensory Signals With Recurrent Neural Networks: An Application Of Conceptors To Birdsongs
R Gast, P Faion, K Standvoss, A Suckro, B Lewis, G Pipa
bioRxiv, 131052



(74) Persistent Memory in Single Node Delay-Coupled Reservoir Computing
AD Kovac, M Koall, G Pipa, H Toutounji
PloS one 11 (10), e0165170

(73) Applicability of echo state networks to classify EEG data from a movement task
L. Hestermeyer, G. Pipa
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

(72) Cognitive Computing In Disease Management
G Pipa
Pan European Network PEN 21 (Science & Technology Issue), 123

(71) Serial Spike Time Correlations Affect Probability Distribution of Joint Spike Events
M Shahi, C van Vreeswijk, G Pipa
Frontiers in computational neuroscience 10

(70) 'Traumschreiber': measuring and manipulating human sleep with a portable high-quality but low-cost polysomnographic system
K Appel, J Leugering, G Pipa

(69) Automated analysis of actimetry used for the detection of disease phenotypes in sleep medicine
R Leenings, C Glatz, M Boentert, A Heidbreder, G Pipa, P Young



(68) A statistical framework to infer delay and direction of information flow from measurements of complex systems
J Schumacher, T Wunderle, P Fries, F Jäkel, G Pipa
Neural computation

(67) Homeostatic plasticity for single node delay-coupled reservoir computing
H Toutounji, J Schumacher, G Pipa
Neural computation

(66) Untangling cross-frequency coupling in neuroscience
J Aru, J Aru, V Priesemann, M Wibral, L Lana, G Pipa, W Singer, R Vicente
Current opinion in neurobiology 31, 51-61

(65) Assessing coupling dynamics from an ensemble of time series
G Gómez-Herrero, W Wu, K Rutanen, MC Soriano, G Pipa, R Vicente
Entropy 17 (4), 1958-1970

(64) RM-SORN: a reward-modulated self-organizing recurrent neural network
W Aswolinskiy, G Pipa
Frontiers in computational neuroscience 9

(63) An introduction to delay-coupled reservoir computing
J Schumacher, H Toutounji, G Pipa
Artificial Neural Networks, 63-90



(62) Spatiotemporal computations of an excitable and plastic brain: neuronal plasticity leads to noise-robust and noise-constructive computations
H Toutounji, G Pipa
PLoS computational biology 10 (3), e1003512

(61) Application of Parallel Factor Analysis (PARAFAC) to electrophysiological data
SK Schmitz, PP Hasselbach, B Ebisch, A Klein, G Pipa, RAW Galuske
Frontiers in neuroinformatics 8

(60) Forced-choice decision-making in modified trolley dilemma situations: a virtual reality and eye tracking study
A Skulmowski, A Bunge, K Kaspar, G Pipa
Frontiers in behavioral neuroscience 8

(59) Neuronal oscillations form parietal/frontal networks during contour integration
M Castellano, M Plöchl, R Vicente, G Pipa
Frontiers in integrative neuroscience 8

(58) Kinesthetic and vestibular information modulate alpha activity during spatial navigation: a mobile EEG study
BV Ehinger, P Fischer, AL Gert, L Kaufhold, F Weber, G Pipa, P König
Frontiers in human neuroscience 8



(57) Missing mass approximations for the partition function of stimulus driven Ising models
R Haslinger, D Ba, R Galuske, Z Williams, G Pipa
Frontiers in computational neuroscience 7

(56) An analytical approach to single node delay-coupled reservoir computing
J Schumacher, H Toutounji, G Pipa
International Conference on Artificial Neural Networks, 26-33

(55) Impact of spike train autostructure on probability distribution of joint spike events
G Pipa, S Grün, C Van Vreeswijk
Neural Computation 25 (5), 1123-1163

(54) Encoding through patterns: Regression tree–based neuronal population models
R Haslinger, G Pipa, LD Lewis, D Nikolić, Z Williams, E Brown
Neural computation 25 (8), pp. 1-41, 2013

(53) Memory Trace in Spiking Neural Networks
M Castellano, G Pipa
International Conference on Artificial Neural Networks, 264-271



(52) Context matters: the illusive simplicity of macaque V1 receptive fields
R Haslinger, G Pipa, B Lima, W Singer, EN Brown, S Neuenschwander
PloS one 7 (7), e39699

(51) Statistical modeling approach for detecting generalized synchronization
J Schumacher, R Haslinger, G Pipa
Physical Review E 85 (5), 056215

(50) Mapping of Visual Receptive Fields by Tomographic Reconstruction
G Pipa, Z Chen, S Neuenschwander, B Lima, EN Brown
Neural computation 24 (10), 2543-2578

(49) Optimized Temporal Multiplexing for Reservoir Computing with a Single Delay-Coupled Node
H Toutounji, J Schumacher, G Pipa
The 2012 International Symposium on Nonlinear Theory and its Applications (NOLTA 2012)



(48) Emerging bayesian priors in a self-organizing recurrent network
A Lazar, G Pipa, J Triesch
International Conference on Artificial Neural Networks, 127-134

(47) Applying the multivariate time-rescaling theorem to neural population models
F Gerhard, R Haslinger, G Pipa
Neural computation 23 (6), 1452-1483

(46) Effect of the topology and delayed interactions in neuronal networks synchronization
T Pérez, GC Garcia, VM Eguíluz, R Vicente, G Pipa, C Mirasso
PloS one 6 (5), e19900

(45) Low hemoglobin levels during normovolemia are associated with electrocardiographic changes in pigs
B Scheller, G Pipa, H Kertscho, P Lauscher, J Ehrlich, O Habler, K Zacharowski, J Meier
Shock 35 (4), 375-381

(44) A new look at gamma? High-(> 60 Hz) γ-band activity in cortical networks: function, mechanisms and impairment
PJ Uhlhaas, G Pipa, S Neuenschwander, M Wibral, W Singer
Progress in biophysics and molecular biology 105 (1), 14-28

(43) Transfer entropy—a model-free measure of effective connectivity for the neurosciences
R Vicente, M Wibral, M Lindner, G Pipa
Journal of computational neuroscience 30 (1), 45-67

(42) Analyzing possible pitfalls of cross-frequency analysis
R Vicente, J Aru, M Wibral, V Priessemann, G Pipa, W Singer, J Aru
Front. Hum. Neurosci. Conference Abstract: XI International Conference on Cognitive Neuroscience (ICON XI)

(41) Spike train auto-structure impacts post-synaptic firing and timing-based plasticity
B Scheller, M Castellano, R Vicente, G Pipa
Frontiers in computational neuroscience 5

(40) Bivariate and multivariate NeuroXidence: a robust and reliable method to detect modulations of spike–spike synchronization across experimental conditions
W Wu, DW Wheeler, G Pipa
Frontiers in neuroinformatics 5

(39) Extraction of network topology from multi-electrode recordings: is there a small-world effect?
F Gerhard, G Pipa, B Lima, S Neuenschwander, W Gerstner
Frontiers in Computational Neuroscience 5

(38) Higher order spike synchrony in prefrontal cortex during visual memory
G Pipa, MHJ Munk
Frontiers in computational neuroscience 5



(36) Discrete time rescaling theorem: determining goodness of fit for discrete time statistical models of neural spiking
R Haslinger, G Pipa, E Brown
Neural computation 22 (10), 2477-2506, ISSN 0899-7667, MIT Press, 2010

(35) Goodness-of-fit tests for neural population models: the multivariate time-rescaling theorem
F Gerhard, R Haslinger, G Pipa
BMC Neuroscience 11 (1), P46

(34) Spontaneous activity in a self-organizing recurrent network reflects prior learning
A Lazar, G Pipa, J Triesch
Front. Neurosci. Conference Abstract: Computational and Systems Neuroscience

(33) Estimating small-world topology of neural networks from multi-electrode recordings
Gerhard F, Pipa G and Gerstner W
Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience

(32) Probability Estimation of Rare Events in Linguistics and Computational Neuroscience .
Evert, S. and Pipa, G.
Proceedings of KogWis 2010: 10th Biannual Meeting of the German Society for Cognitive Science, 2010



(31) A color-based visualization technique for multielectrode spike trains
OF Jurjuţ, D Nikolić, G Pipa, W Singer, D Metzler, RC Mureşan
Journal of neurophysiology 102 (6), 3766-3778

(30) EEG under anesthesia—Feature extraction with TESPAR
VV Moca, B Scheller, RC Mureşan, M Daunderer, G Pipa
Computer methods and programs in biomedicine 95 (3), 191-202

(29) General anesthesia increases temporal precision and decreases power of the brainstem auditory-evoked response-related segments of the electroencephalogram
BCA Scheller, M Daunderer, G Pipa
The Journal of the American Society of Anesthesiologists 111 (2), 340-355

(28) Imaging the Effective Connectivity behind Frontal Control Processes in a Simon Task using Transfer Entropy
M Wibral, R Vicente, G Pipa
15th Annual meeting, Organization for Human Brain Mapping, San Francisco 2009

(27) Neural synchrony in cortical networks: history, concept and current status.
PJ Uhlhaas, G Pipa, B Lima, L Melloni, S Neuenschwander, D Nikolić, W Singer
Frontiers in integrative neuroscience 3

(26) Far in space and yet in synchrony: neuronal mechanisms for zero-lag long-range synchronization
R Vicente, LL Gollo, CR Mirasso, I Fischer, G Pipa
Coherent Behavior in Neuronal Networks, 143-167

(25) Performance-and stimulus-dependent oscillations in monkey prefrontal cortex during short-term memory
G Pipa, ES Städtler, EF Rodriguez, JA Waltz, LF Muckli, W Singer,  Goebel R, Munk MH.
Frontiers in integrative neuroscience 3:25

(24) SORN: a self-organizing recurrent neural network
A Lazar, G Pipa, J Triesch
Front. Comput. Neurosci.3:23. doi:10.3389/neuro.10.023.2009

(23) Efficient Identification of State in Reinforcement Learning
S. Timmer and M. Riedmiller
Künstliche Intelligenz, Böttcher IT Verlag, 2009




(22) Dynamical relaying can yield zero time lag neuronal synchrony despite long conduction delays
R Vicente, LL Gollo, CR Mirasso, I Fischer, G Pipa
Proceedings of the National Academy of Sciences 105 (44), 17157-17162

(21) NeuroXidence: reliable and efficient analysis of an excess or deficiency of joint-spike events
G Pipa, DW Wheeler, W Singer, D Nikolić
Journal of computational neuroscience 25 (1), 64-88 download source code and example data

(20) Behavioral performance modulates spike field coherence in monkey prefrontal cortex
W Wu, DW Wheeler, ES Staedtler, MHJ Munk, G Pipa
Neuroreport 19 (2), 235-238

(19) Auto-structure of presynaptic activity defines postsynaptic firing statistics and can modulate STDP-based structure formation and learning
G Pipa, R Vicente, A Tikhonov
Artificial Neural Networks-ICANN 2008, 413-422

(18) Predictive coding in cortical microcircuits
A Lazar, G Pipa, J Triesch
Artificial Neural Networks-ICANN 2008, 386-395

(17) Contour integration and synchronization in neuronal networks of the visual cortex
E Ullner, R Vicente, G Pipa, J García-Ojalvo
Artificial Neural Networks-ICANN 2008, 703-712



(16) Zero-Lag Long Range Synchronization of Neurons Is Enhanced by Dynamical Relaying
R. Vicente, G. Pipa, I. Fischer, C. Mirasso

(15) Achieving synchronization of networks by an auxiliary hub
Huang, D. and G. Pipa
Europhys. Lett. 77 5 (2007) 50010
doi: 10.1209/0295-5075/77/50010

(13) Fading Memory and Time Series Prediction in Recurrent Networks with Different Forms of Plasticity
A. Lazar, G. Pipa and J. Triesch (first and second author contributed equally)
Neural Networks, Volume 20, Issue 3, April 2007, Pages 312-322

(12) ‘Fitted Q Iteration with CMACs’,
S. Timmer and M. Riedmiller
Proceedings of the International Symposium on Approximate Dynamic Programming and Reinforcement Learning (ADPRL), Honolulu, USA, April 2007

(11) Safe Q-Learning on Complete History Spaces,
S. Timmer and M. Riedmiller
Proceedings of the 18th European Conference on Machine Learning (ECML), Warsaw, September 2007

(10) Importance of electrophysiological signal features assessed by classification trees
Lazar A., Muresan R.C., Stadler E., Munk M., Pipa G.
Neurocomputing (2007), doi:10.1016/j.neucom.2006.10.136



(9) Neuronal Code: Development of tools and hypotheses for understanding the role of synchronisation of neuronal activity
Ph.D. thesis G. Pipa   

(8) The combination of STDP and intrinsic plasticity yields complex dynamics in recurrent spiking networks
Lazar A., Pipa G., Triesch J.
Proceedings of the European Symposium on Artificial Neural Networks (ESANN 2006), Brugges, Belgium

(7) Abstract State Spaces with History
S.Timmer and M.Riedmiller
Proceedings of the 25th International Conference of NAFIPS, the North American Fuzzy Information Processing Society, Montreal, Canada, June 2006


(6) Single-Unit Recordings Revisited: Activity in Recurrent Microcircuits
R. C. Muresan, G. Pipa, D. W. Wheeler
 Lecture Notes in Computer Science, Vol. 3696, Eds. W. Duch, J. Kacprzyk, E. Oja, et al., pp.153-160
 ISSN:E0302-9743, Muresan ICANN 2005

(5) Coherence, Memory and Conditioning. A Modern Viewpoint
Muresan, R. C., G. Pipa, R. V. Florian and D. W. Wheeler
Neural Information Processing - Letters and Reviews, Vol. 7, No. 2, pp. 19-28

(4) Learning policies for abstract states
S. Timmer and M. Riedmiller
Proceedings of the International Conference on Systems, Man and Cybernetics, 2005, Big Island, USA, October 2005


(3) Non-Parametric significance estimation of joint-spike events by shuffling and resampling
G. Pipa and S. Grün
Neural Computing, Neurocomputing 52–54 (2003) 31 – 37

(2) Significance of Joint-Spike Events Based on Trial-Shuffling by Efficient, Combinatorial Methods
G. Pipa, M. Diesmann, S. Grün
Complexity 2003, Pages 79 – 86

(1) Entwicklung und Untersuchung einer nicht-parametrischen Methode zur Schätzung der Signifikanz zeitlich koordinierter Spike-Aktivität
Diploma thesis G.Pipa