link to homepage

Institute of Neuroscience and Medicine

Navigation and service

Peer-reviewed articles of Statistical Neuroscience

  • Denker M., Grün S., Wachtler T., Scherberger H. (2021) Reproducibility and efficiency in handling complex neurophysiological data.
  • Wachtler T., Bauer P., Denker M., Grün S., Hanke M., Klein J., Oeltze-Jafra S., Ritter P., Rotter S., Scherberger H., Stein A., Witte OW. (2021) NFDI-Neuro: building a community for neuroscience research data management in Germany. Neuroforum:000010151520200036.
  • Tatsuno M., Malek S., Kalvi L., Ponce-Alvarez A., Ali K., Euston DR., Grün S., McNaughton BL. (2020) Memory reactivation in rat medial prefrontal cortex occurs in a subtype of cortical UP state during slow-wave sleep. Philos. Trans. R. Soc. Lond. B Biol. Sci. 25;375(1799):20190227. DOI:10.1098/rstb.2019.0227
  • Dahmen D., Grün S., Diesmann M., Helias M. (2019) Second type of criticality in the brain uncovers rich multiple-neuron dynamics Proceedings of the National Academy of Sciences of the United States of America 116 (26):13051-13060 DOI:10.1073/pnas.1818972116
  • Einevoll GT., Destexhe A., Diesmann M., Grün S., Jirsa V., de Kamps M., Migliore M., Ness TV., Plesser HE., Schürmann F. (2019) The Scientific Case for Brain Simulations Neuron 102, 4:735-744
  • Ito J., Lucrezia E., Palm G., Grün S. (2019) Detection and evaluation of bursts in terms of novelty and surprise Mathematical Biosciences and Engineering 16, mbe-16-06-351:6990 DOI:10.3934/mbe.2019351
  • Jo H-G., Ito J., Schulte Holthausen B., Baumann C., Grün S., Habel U., Kellermann T. (2019) Task-dependent functional organizations of the visual ventral stream Scientific Reports 9:9316
    DOI: 10.1038/s41598-019-45707-w
  • Jo HG., Kellermann T., Baumann C., Ito J.,Schulte Holthausen B., Schneider F., Grün S., Habel U. (2019) Distinct modes of top-down cognitive processing in the ventral visual cortex NeuroImage 193, 201 - 21, DOI:10.1016/j.neuroimage.2019.02.068
  • Sprenger J., Zehl L., Pick J., Sonntag M., Grewe J., Wachtler T., Grün S. and Denker M. (2019) odMLtables: A User-Friendly Approach for Managing Metadata of Neurophysiological Experiments. Front. Neuroinform. 13:62. DOI:10.3389/fninf.2019.00062
  • Stella A., Quaglio P., Torre E., Grün S. (2019) 3d-SPADE: Significance evaluation of spatio-temporal patterns of various temporal extents Biosystems, Volume 185, 2019, 104022,ISSN 0303-2647 DOI:10.1016/j.biosystems.2019.104022
  • Sukiban J., Voges N., Dembek TA., Pauli R., Visser-Vandewalle V., Denker M., Weber I., Timmermann L., Grün S. (2019) Evaluation of Spike Sorting Algorithms: Application to Human Subthalamic Nucleus Recordings and Simulations Neuroscience 414:168-185
  • Brochier T., Zehl L., Hao Y., Duret M., Sprenger J., Denker M., Grün S., Riehle A. (2018) Massively parallel recordings in macaque motor cortex during an instructed delayed reach-to-grasp task. (Data publication) Scientific Data 5:180055 DOI:10.1038/sdata.2018.55. Data available at
  • Denker M., Zehl L., Kilavik BE., Diesmann M., Brochier T., Riehle A., Grün S. (2018) LFP beta amplitude is linked to mesoscopic spatio-temporal phase patterns. Scientific Reports 8:5200. DOI:10.1038/s41598-018-22990-7
  • de Haan M., Brochier TG., Grün S., Riehle A., Barthelmy FV. (2018) Real-time visuomotor behavior and electrophysiology recording setup for use with humans and monkeys. Journal of Neurophysiology DOI:10.1152/jn.00262.2017
  • Gutzen R., von Papen M., Trensch G., Quaglio P., Grün S. and Denker M. (2018) Reproducible Neural Network Simulations: Statistical Methods for Model Validation on the Level of Network Activity Data. Front. Neuroinform. 12:90. DOI: 10.3389/fninf.2018.00090
  • Kass RE., Amari S., Arai K., Brown EN., Diekman CO., Diesmann M., Doiron B., Eden U., Fairhall A., Fiddyment GM., Fukai T., Grün S., Harrison MT., Helias M., Nakahara H., Teramae J., Thomas PJ., Reimers M., Rodu J., Rotstein HG., Shea-Brown E., Shimazaki H., Shinomoto S., Yu BM., Kramer MA. (2018). Computational neuroscience: Mathematical and Statistical Perspectives. Annual Review of Statistics and Its Application 5:183-214. DOI: 10.1146/annurev-statistics-041715-033733.
  • Quaglio P., Rostami V., Torre E., Grün S. (2018) Methods for identification of spike patterns in massively parallel spike trains Biological Cybernetics pp. 1-24. DOI:10.1007/s00422-018-0755-0
  • Riehle A., Brochier TG., Nawrot M., Grün S. (2018) Behavioral context determines network state and variability dynamics in monkey motor cortex. Front. Neural Circuits 12:52 DOI:10.3389/fncir.2018.00052
  • Ito J., Yamane Y., Suzuki M., Maldonado P., Fujita I., Tamura H., Grün S. (2017). Switch from ambient to focal processing mode explains the dynamics of free viewing eye movements. Scientific Reports 7. DOI: 10.1038/s41598-017-01076-w.
  • Quaglio P., Yegenoglu A., Torre E., Endres DM., Grün S. (2017). Detection and evaluation of spatio-temporal spike patterns in massively parallel spike train data with spade. Frontiers in Computational Neuroscience 11:41. DOI: 10.3389/fncom.2017.00041.
  • Rostami V., Ito J., Denker M., Grün S. (2017a). [Re] spike synchronization and rate modulation differentially involved in motor cortical function. Rescience 3. DOI: 10.5281/zenodo.583814.
  • Rostami V., Porta Mana P., Grün S., Helias M. (2017b). Bistability, non-ergodicity, and inhibition in pairwise maximum-entropy models. PLOS Computational Biology 13(10): e1005762. DOI: 10.1371/journal.pcbi.1005762.
  • Senk J., Yegenoglu A., Amblet O., Brukau Y., Davison A., Lester DR., Lührs A., Quaglio P., Rostami V., Rowley A., Schuller B., Stokes AB., van Albada SJ., Zielasko D., Diesmann M., Weyers B., Denker M., Grün S. (2017). A collaborative simulation-analysis workflow for computational neuroscience using HPC. In: Di Napoli E, Hermanns M-A, Iliev H, Lintermann A, Peyser A eds. High-Performance Scientific Computing. Cham: Springer International Publishing, 243–256. DOI: 10.1007/978-3-319-53862-4_21.
  • von Papen M., Dafsari H., Florin E., Gerick F., Timmermann L., Saur J. (2017). Phase-coherence classification: A new wavelet-based method to separate local field potentials into local (in)coherent and volume-conducted components. Journal of Neuroscience Methods 291:198-212. DOI:10.1016/j.jneumeth.2017.08.021
  • Bouchard KE., Aimone JB., Chun M., Dean T., Denker M., Diesmann M., Donofrio DD., Frank LM., Kasthuri N., Koch C., Ruebel O., Simon HD., Sommer FT., Prabhat (2016). High-performance computing in neuroscience for data-driven discovery, integration, and dissemination. Neuron 92:628–631. DOI: 10.1016/j.neuron.2016.10.035.
  • Hagen E., Dahmen D., Stavrinou ML., Lindén H., Tetzlaff T., van Albada SJ., Grün S., Diesmann M., Einevoll GT. (2016). Hybrid scheme for modeling local field potentials from point-neuron networks. Cerebral Cortex 26:4461–4496. DOI: 10.1093/cercor/bhw237.
  • Mochizuki Y., Onaga T., Shimazaki H., Shimokawa T., Tsubo Y., Kimura R., Saiki A., Sakai Y., Isomura Y., Fujisawa S., Shibata K-I., Hirai D., Furuta T., Kaneko T., Takahashi S., Nakazono T., Ishino S., Sakurai Y., Kitsukawa T., Lee JW., Lee H., Jung MW., Babul C., Maldonado PE., Takahashi K., Arce-McShane FI., Ross CF., Sessle BJ., Hatsopoulos NG., Brochier T., Riehle A., Chorley P., Grün S., Nishijo H., Ichihara-Takeda S., Funahashi S., Shima K., Mushiake H., Yamane Y., Tamura H., Fujita I., Inaba N., Kawano K., Kurkin S., Fukushima K., Kurata K., Taira M., Tsutsui K-I., Ogawa T., Komatsu H., Koida K., Toyama K., Richmond BJ., Shinomoto S. (2016). Similarity in neuronal firing regimes across mammalian species. Journal of Neuroscience 36:5736–5747. DOI: 10.1523/JNEUROSCI.0230-16.2016.
  • Torre E., Canova C., Denker M., Gerstein G., Helias M., Grün S. (2016b). ASSET: analysis of sequences of synchronous events in massively parallel spike trains. PLOS Computational Biology 12:e1004939. DOI: 10.1371/journal.pcbi.1004939.
  • Torre E., Quaglio P., Denker M., Brochier T., Riehle A., Grün S. (2016a). Synchronous spike patterns in macaque motor cortex during an instructed-delay reach-to-grasp task. Journal of Neuroscience 36:8329–8340. DOI: 10.1523/JNEUROSCI.4375-15.2016.
  • Yegenoglu A., Quaglio P., Torre E., Grün S., Endres D. (2016) Exploring the usefulness of formal concept analysis for robust detection of spatio-temporal spike patterns in massively parallel spike trains In: Haemmerlé O., Stapleton G., Faron Zucker C. (eds) Graph-Based Representation and Reasoning. Lecture Notes in Computer Science, vol 9717.DOI:10.1007/978-3-319-40985-6_1
  • Zehl L., Jaillet F., Stoewer A., Grewe J., Sobolev A., Wachtler T., Brochier TG., Riehle A., Denker M., Grün S. (2016). Handling metadata in a neurophysiology laboratory. Frontiers in Neuroinformatics 10:26. DOI: 10.3389/fninf.2016.00026.
  • Milekovic T., Truccolo W., Grün S., Riehle A., Brochier T. (2015). Local field potentials in primate motor cortex encode grasp kinetic parameters. NeuroImage 114:338–355. DOI: 10.1016/j.neuroimage.2015.04.008.
  • Cichon NB., Denker M., Grün S., Hanganu-Opatz IL. (2014). Unsupervised classification of neocortical activity patterns in neonatal and pre-juvenile rodents. Frontiers in Neural Circuits 8:50. DOI: 10.3389/fncir.2014.00050.
  • Ito J., Roy S., Liu Y., Cao Y., Fletcher M., Lu L., Boughter JD., Grün S., Heck DH. (2014). Whisker barrel cortex delta oscillations and gamma power in the awake mouse are linked to respiration. Nature Communications 5. DOI: 10.1038/ncomms4572.
  • Ito J., Maldonado P., Grün S. (2013). Cross-frequency interaction of the eye-movement related LFP signals in V1 of freely viewing monkeys. Frontiers in Systems Neuroscience 7:1. DOI: 10.3389/fnsys.2013.00001.
  • Picado-Muiño D., Borgelt C., Berger D., Gerstein G., Grün S. (2013). Finding neural assemblies with frequent item set mining. Frontiers in Neuroinformatics 7:9. DOI: 10.3389/fninf.2013.00009.
  • Pipa G., Grün S., van Vreeswijk C. (2013). Impact of spike train autostructure on probability distribution of joint spike events. Neural Computation 25:1123–1163. DOI: 10.1162/NECO_a_00432.
  • Riehle A., Wirtssohn S., Grün S., Brochier T. (2013). Mapping the spatio-temporal structure of motor cortical LFP and spiking activities during reach-to-grasp movements. Frontiers in Neural Circuits 7:48. DOI: 10.3389/fncir.2013.00048.
  • Schultze-Kraft M., Diesmann M., Grün S., Helias M. (2013). Noise suppression and surplus synchrony by coincidence detection. PLoS Computational Biology 9:e1002904. DOI: 10.1371/journal.pcbi.1002904.
  • Torre E., Picado-Muiño D., Denker M., Borgelt C., Grün S. (2013). Statistical evaluation of synchronous spike patterns extracted by frequent item set mining. Frontiers in Computational Neuroscience 7:132. DOI: 10.3389/fncom.2013.00132.
  • Berger D., Pazienti A., Flores FJ., Nawrot MP., Maldonado PE., Grün S. (2012). Viewing strategy of cebus monkeys during free exploration of natural images. Brain Research 1434:34–46. DOI: 10.1016/j.brainres.2011.10.013.
  • Borgelt C., Braune C., Kötter T., Grün S. (2012). New algorithms for finding approximate frequent item sets. Soft Computing 16:903–917. DOI: 10.1007/s00500-011-0776-2.
  • Gerstein GL., Williams ER., Diesmann M., Grün S., Trengove C. (2012). Detecting synfire chains in parallel spike data. Journal of Neuroscience Methods 206:54–64. DOI: 10.1016/j.jneumeth.2012.02.003.
  • Shimazaki H., Amari S., Brown EN., Grün S. (2012). State-space analysis of time-varying higher-order spike correlation for multiple neural spike train data. PLoS Computational Biology 8:e1002385. DOI: 10.1371/journal.pcbi.1002385.
  • Denker M., Roux S., Lindén H., Diesmann M., Riehle A., Grün S. (2011). The local field potential reflects surplus spike synchrony. Cerebral Cortex 21:2681–2695. DOI: 10.1093/cercor/bhr040.
  • Ito J., Maldonado P., Singer W., Grün S. (2011). Saccade-related modulations of neuronal excitability support synchrony of visually elicited spikes. Cerebral Cortex 21:2482–2497. DOI: 10.1093/cercor/bhr020.
  • Lindén H., Tetzlaff T., Potjans TC., Pettersen KH., Grün S., Diesmann M., Einevoll GT. (2011). Modeling the spatial reach of the LFP. Neuron 72:859–872. DOI: 10.1016/j.neuron.2011.11.006.
  • Berger D., Borgelt C., Louis S., Morrison A., Grün S. (2010). Efficient identification of assembly neurons within massively parallel spike trains. Computational Intelligence and Neuroscience 2010:1–18. DOI: 10.1155/2010/439648.
  • Denker M., Finke R., Schaupp F., Grün S., Menzel R. (2010b). Neural correlates of odor learning in the honeybee antennal lobe. European Journal of Neuroscience 31:119–133. DOI: 10.1111/j.1460-9568.2009.07046.x.
  • Denker M., Riehle A., Diesmann M., Grün S. (2010a). Estimating the contribution of assembly activity to cortical dynamics from spike and population measures. Journal of Computational Neuroscience 29:599–613. DOI: 10.1007/s10827-010-0241-8.
  • Louis S., Borgelt C., Grün S. (2010). Complexity distribution as a measure for assembly size and temporal precision. Neural Networks 23:705–712. DOI: 10.1016/j.neunet.2010.05.004.
  • Louis SG., Gerstein GL., Grün S., Diesmann M. (2010). Surrogate spike train generation through dithering in operational time. Frontiers in Computational Neuroscience 4:127. DOI: 10.3389/fncom.2010.00127.
  • Staude B., Rotter S. (2010). Higher-order correlations in non-stationary parallel spike trains: statistical modeling and inference. Frontiers in Computational Neuroscience 4:16. DOI: 10.3389/fncom.2010.00016.
  • Staude B., Rotter S., Grün S. (2010). CuBIC: cumulant based inference of higher-order correlations in massively parallel spike trains. Journal of Computational Neuroscience 29:327–350. DOI: 10.1007/s10827-009-0195-x.
  • Grün S. (2009). Data-driven significance estimation for precise spike correlation. Journal of Neurophysiology 101:1126–1140. DOI: 10.1152/jn.00093.2008.
  • Kilavik BE., Roux S., Ponce-Alvarez A., Confais J., Grün S., Riehle A. (2009). Long-term modifications in motor cortical dynamics induced by intensive practice. Journal of Neuroscience 29:12653–12663. DOI: 10.1523/JNEUROSCI.1554-09.2009.
  • Sharott A., Moll CKE., Engler G., Denker M., Grün S., Engel AK. (2009). Different subtypes of striatal neurons are selectively modulated by cortical oscillations. Journal of Neuroscience 29:4571–4585. DOI: 10.1523/JNEUROSCI.5097-08.2009.
  • Maldonado P., Babul C., Singer W., Rodriguez E., Berger D., Grün S. (2008). Synchronization of neuronal responses in primary visual cortex of monkeys viewing natural images. Journal of Neurophysiology 100:1523–1532. DOI: 10.1152/jn.00076.2008.
  • Pazienti A., Maldonado PE., Diesmann M., Grün S. (2008). Effectiveness of systematic spike dithering depends on the precision of cortical synchronization. Brain Research 1225:39–46. DOI: 10.1016/j.brainres.2008.04.073.
  • Schrader S., Grün S., Diesmann M., Gerstein GL. (2008). Detecting synfire chain activity using massively parallel spike train recording. Journal of Neurophysiology 100:2165–2176. DOI: 10.1152/jn.01245.2007.
  • Staude B., Rotter S., Grün S. (2008). Can spike coordination be differentiated from rate covariation? Neural Computation 20:1973–1999. DOI: 10.1162/neco.2008.06-07-550.
  • Berger D., Warren D., Normann R., Arieli A., Grün S. (2007). Spatially organized spike correlation in cat visual cortex. Neurocomputing 70:2112–2116. DOI: 10.1016/j.neucom.2006.10.141.
  • Denker M., Roux S., Timme M., Riehle A., Grün S. (2007). Phase synchronization between lfp and spiking activity in motor cortex during movement preparation. Neurocomputing 70:2096–2101. DOI: 10.1016/j.neucom.2006.10.088.
  • Nawrot MP., Boucsein C., Rodriguez-Molina V., Aertsen A., Grün S., Rotter S. (2007). Serial interval statistics of spontaneous activity in cortical neurons in vivo and in vitro. Neurocomputing 70:1717–1722. DOI: 10.1016/j.neucom.2006.10.101.
  • Pipa G., Riehle A., Grün S. (2007). Validation of task-related excess of spike coincidences based on neuroxidence. Neurocomputing 70:2064–2068. DOI: 10.1016/j.neucom.2006.10.142.
  • Pazienti A., Grün S. (2006). Robustness of the significance of spike synchrony with respect to sorting errors. Journal of Computational Neuroscience 21:329–342. DOI: 10.1007/s10827-006-8899-7.
  • Czanner G., Grün S., Iyengar S. (2005). Theory of the snowflake plot and its relations to higher-order analysis methods. Neural Computation 17:1456–1479. DOI: 10.1162/0899766053723041.
  • Gál V., Grün S., Tetzlaff R. (2003). Analysis of multidimensional neural activity via CNN-UM. International Journal of Neural Systems 13:479–487. DOI: 10.1142/S0129065703001789.
  • Grün S., Riehle A., Aertsen A., Diesmann M. (2003). Temporal scales of cortical interactions. Nova Acta Leopoldina NF 88:189–206.
  • Grün S., Riehle A., Diesmann M. (2003). Effect of cross-trial nonstationarity on joint-spike events. Biological Cybernetics 88:335–351. DOI: 10.1007/s00422-002-0386-2.
  • Pipa G., Diesmann M., Grün S. (2003). Significance of joint-spike events based on trial-shuffling by efficient combinatorial methods. Complexity 8:79–86. DOI: 10.1002/cplx.10085.
  • Pipa G., Grün S. (2003). Non-parametric significance estimation of joint-spike events by shuffling and resampling. Neurocomputing 52–54:31–37. DOI: 10.1016/S0925-2312(02)00823-8.
  • Schneider G., Grün S. (2003). Analysis of higher-order correlations in multiple parallel processes. Neurocomputing 52–54:771–777. DOI: 10.1016/S0925-2312(02)00772-5.
  • Grün S., Diesmann M., Aertsen A. (2002a). Unitary events in multiple single-neuron spiking activity: I. detection and significance. Neural Computation 14:43–80. DOI: 10.1162/089976602753284455.
  • Grün S., Diesmann M., Aertsen A. (2002b). Unitary events in multiple single-neuron spiking activity: II. nonstationary data. Neural Computation 14:81–119. DOI: 10.1162/089976602753284464.
  • Riehle A., Grammont F., Diesmann M., Grün S. (2000). Dynamical changes and temporal precision of synchronized spiking activity in monkey motor cortex during movement preparation. Journal of Physiology-Paris 94:569–582. DOI: 10.1016/S0928-4257(00)01100-1.
  • Grün S., Diesmann M., Grammont F., Riehle A., Aertsen A. (1999). Detecting unitary events without discretization of time. Journal of Neuroscience Methods 94:67–79. DOI: 10.1016/S0165-0270(99)00126-0.
  • Riehle A., Grün S., Diesmann M., Aertsen A. (1997). Spike synchronization and rate modulation differentially involved in motor cortical function. Science 278:1950–1953. DOI: 10.1126/science.278.5345.1950.
  • Martignon L., Von Hassein H., Grün S., Aertsen A., Palm G. (1995). Detecting higher-order interactions among the spiking events in a group of neurons. Biological Cybernetics 73:69–81. DOI: 10.1007/BF00199057.