ikeda
Tom Tetzlaff

Inst. of Neuroscience and Medicine (INM-6)
Computational and Systems Neuroscience

Research Center Jülich


 

Index
Research

Publications
Curriculum vitae
Teaching

Publications:

Peer-reviewed articles:

2017

Bahuguna J., Tetzlaff T., Kumar A., Hellgren Kotaleski J., Morrison A. (2017), Homologous basal ganglia network models in physiological and Parkinsonian conditions, Frontiers in Computational Neuroscience 11:79, doi:10.3389/fncom.2017.00079
www

2016

Hagen E., Dahmen D., Stavrinou M.L., Lindén H., Tetzlaff  T., van Albada S.J.,Grün S., Diesmann M., Einevoll G.T. (2016), Hybrid scheme for modeling local field potentials from point-neuron networks, Cerebral Cortex 26(12):4461–4496, doi:10.1093/cercor/bhw237
www

Pfeil T., Jordan J., Tetzlaff T., Grübl A., Schemmel J., Diesmann M., Meier K. (2016), Effect of heterogeneity on decorrelation mechanisms in spiking neural networks: A neuromorphic-hardware study, Physical Review X 6(2):021023, doi:10.1103/PhysRevX.6.021023
www

2014

Pettersen K.H.,
Lindén H., Tetzlaff T., Einevoll G.T. (2014), Power laws from linear neuronal cable theory: power spectral densities of the soma potential, soma membrane current and single-neuron contribution to the EEG, PLoS Computational Biology10(11):e1003928, doi:10.1371/journal.pcbi.1003928
www

Kriener B., Enger H., Tetzlaff T., Plesser H.E., Gewaltig M., Einevoll G.T. (2014), Dynamics of self-sustained asynchronous-irregular activity in random networks of spiking neurons with strong synapses, Frontiers in Computational Neuroscience 8:136, doi:10.3389/fncom.2014.00136
www

Chapuis A. & Tetzlaff T. (2014), The variability of tidewater-glacier calving: origin of event-size and interval distributions, Journal of Glaciology 60(222):622–634, doi:10.3189/2014JoG13J215
www , preprint , arxiv

Helias M., Tetzlaff T., Diesmann M. (2014), The correlation structure of local cortical networks intrinsically results from recurrent dynamics, PLoS Computational Biology 10(1):e1003428, doi:10.1371/journal.pcbi.1003428
www

2013

Grytskyy D., Tetzlaff T., Diesmann M., Helias M. (2013), A unified view on weakly correlated recurrent networks, Frontiers Computational Neuroscience 7:131, doi:10.3389/fncom.2013.00131
www

Łęski S., Lindén H., Tetzlaff T., Pettersen K.H., Einevoll G.T. (2013), Frequency dependence of signal power and spatial reach of the local field potential, PLoS Computational Biology 9(7):e1003137, doi:10.1371/journal.pcbi.1003137
www

Heiberg T., Kriener B., Tetzlaff T., Casti A., Einevoll G.T., Plesser H.E. (2013), Firing-rate models capture essential response dynamics of LGN relay cells, Journal of Computational Neuroscience 35(3):359-375, doi:10.1007/s10827-013-0456-6
www

Helias M., Tetzlaff T. & Diesmann M. (2013), Echoes in correlated neural systems, New Journal of Physics 15(2):023002, doi:10.1088/1367-2630/15/2/023002
www

2012

Yousaf M., Wyller J., Tetzlaff T., Einevoll G.T. (2012), Effect of localized input on bump solutions in a two-population neural-field model, Nonlinear Analysis: Real World Applications 14(2):997-1025, doi:10.1016/j.nonrwa.2012.08.013
www

Tetzlaff T., Helias M., Einevoll G.T., Diesmann M. (2012), Decorrelation of neural-network activity by inhibitory feedback, PLoS Comp Biol 8(8):e1002596, doi:10.1371/journal.pcbi.1002596

www (preprint with high-quality figures)

2011

Lindén H., Tetzlaff T., Potjans T.C., Pettersen K.H., Grün S., Diesmann M., Einevoll G.T. (2011), Modeling the spatial reach of the LFP, Neuron 72(5):859-872, doi:10.1016/j.neuron.2011.11.006
www

Oleynik A., Wyller J., Tetzlaff T., Einevoll G.T. (2011), Stability of bumps in a two-population neural field model with quasi-power temporal kernels,  Nonlinear Analysis: Real World applications  12:3073-3094, doi:10.1016/j.nonrwa.2011.05.008

www

2010

Nordlie E, Tetzlaff T, Einevoll GT (2010), Rate dynamics of leaky integrate-and-fire neurons with strong synapses, Front. Comput. Neurosci. 4:149, doi:10.3389/fncom.2010.00149
www

2009

Boucsein C., Tetzlaff T., Meier R., Aertsen A., Naundorf B. (2009), Dynamical response properties of neocortical neuron ensembles: multiplicative versus additive noise, Journal of Neuroscience 29(4):1006-1010, doi:10.1523/JNEUROSCI.3424-08.2009
pdf

2008

Tetzlaff T., Rotter S., Stark E., Abeles M., Aertsen A., Diesmann M. (2008), Dependence of neuronal correlations on filter characteristics and marginal spike-train statistics, Neural Computation 20(9): 2133-2184, doi:10.1162/neco.2008.05-07-525
pdf

Kriener B., Tetzlaff T., Aertsen A., Diesmann M., Rotter S. (2008), Correlations and population dynamics in cortical networks, Neural Computation 20(9):2185–2226, doi:10.1162/neco.2008.02-07-474
pdf

2004

Tetzlaff T., Morrison A., Geisel T., Diesmann M. (2004), Consequences of Realistic Network Size on the Stability of Embedded Synfire Chains, Neurocomputing 58-60:117-121, doi:10.1016/j.neucom.2004.01.031
www

2003

Tetzlaff T., Buschermöhle M., Geisel T., Diesmann M. (2003), The spread of rate and correlation in stationary cortical networks, Neurocomputing 52-54:949-954, doi:10.1016/S0925-2312(02)00854-8
www

2002

Tetzlaff T., Geisel T., Diesmann M. (2002), The Ground State of Cortical Feed-Forward Networks, Neurocomputing 44-46:673-678, doi:10.1016/S0925-2312(02)00456-3
www


Book chapters:

2012

Einevoll G.T., Lindén H., Tetzlaff T., Łęski S., Pettersen K. (2012), Local field potentials: biophysical origin and analysis, in Quiroga & Panzeri (ed.), Principles of Neural Coding, Taylor & Francis, ISBN: 9781439853306
www

2010

Tetzlaff T., Diesmann M. (2010), Dependence of spike-count correlations on spike-train statistics and observation time-scale, in Grün S. and Rotter S. (ed.), Analysis of parallel spike trains, Springer, Berlin, ISBN: 9781441956743, doi:10.1007/978-1-4419-5675-0 6
www



Theses:

PhD thesis (2007): Correlation dynamics in cortical networks, Fakultät für Biologie, Albert-Ludwigs-Universität Freiburg
pdf

Diploma thesis (2002): Asynchrone Anregung raum-zeitlicher Spike-Muster in kortikalen Netzwerken, Institute of nonlinear dynamics, Georg-August University Göttingen
pdf


Conference contributions:

2014

Tetzlaff T, Jordan J, Petrovici M, Breitwieser O, Bytschok I, Bill J, Schemmel J, Meier K, Diesmann M (2014), Neural networks as sources of uncorrelated noise for functional neural architectures, 10th Bernstein Conference 2014, G
öttingen, Germany, doi:10.12751/nncn.bc2014.0133

Pfeil T, Jordan J, Tetzlaff T, Gr
übl A, Schemmel J, Diesmann M, Meier K (2014), Decorrelation of neural-network activity on heterogeneous neuromorphic hardware, 10th Bernstein Conference 2014, Göttingen, Germany, doi:10.12751/nncn.bc2014.0221

Lindén H, Tetzlaff T (2014), Conditions for fluctuation-driven attractor states and the role of inhibition, 10th Bernstein Conference 2014, Göttingen, Germany, doi:10.12751/nncn.bc2014.0274

2013

Bachmann C, Tetzlaff T, Kunkel S, Bamberger P, Morrison A (2013), Impact of Alzheimer’s disease on the computational and dynamical properties of recurrent neural circuits, Bernstein Conference 2013, Tübingen, Germany, doi:10.12751/nncn.bc2013.0162

Dahmen D, Hagen E, Stavrinou ML,
Lindén H, Tetzlaff T, Albada Sv, Grün S, Diesmann M, Einevoll GT (2013), From spiking point-neuron networks to LFPs: a hybrid approach, Bernstein Conference 2013, Tübingen, Germany, doi:10.12751/nncn.bc2013.0059

Hagen E, Stavrinou ML, Lindén H, Dahmen D, Tetzlaff T, Albada Sv, Grün S, Diesmann M, Einevoll GT (2013), Hybrid scheme for modeling LFPs from spiking cortical network models, Frontiers in Neuroinformatics, Conference Abstract: Neuroinformatics 2013, doi:10.3389/conf.fninf.2013.09.00117

Bachmann C, Tetzlaff T, Kunkel S, Bamberger P, Morrison A (2013), Effect of Alzheimer's disease on the dynamical and computational characteristics of recurrent neural networks, BMC Neuroscience 2013, 14(Suppl 1):P282, 22nd Annual Computational Neuroscience Meeting (CNS*2013), Paris, France, doi:10.1186/1471-2202-14-S1-P282

Hagen E, Stavrinou ML, Lindén H, Dahmen D, Tetzlaff T, Albada Sv, Grün S, Diesmann M, Einevoll GT (2013), Hybrid scheme for modeling LFPs from spiking cortical network models, BMC Neuroscience 2013, 14(Suppl 1):P119, 22nd Annual Computational Neuroscience Meeting (CNS*2013), Paris, France, doi:10.1186/1471-2202-14-S1-P119

Kriener B, Enger H, Tetzlaff T, Plesser HE, Gewaltig MO, Einevoll GT (2013), Dynamics and lifetime of persistent activity states in random networks of spiking neurons with strong synapses, BMC Neuroscience 2013, 14(Suppl 1):P121, 22nd Annual Computational Neuroscience Meeting (CNS*2013), Paris, France, doi:10.1186/1471-2202-14-S1-P121

Heiberg T, Kriener B, Tetzlaff T, Einevoll GT, Plesser HE (2013), Firing-rate models for neurons with a broad repertoire of spiking behaviors, BMC Neuroscience 2013, 14(Suppl 1):P317, 22nd Annual Computational Neuroscience Meeting (CNS*2013), Paris, France, doi:10.1186/1471-2202-14-S1-P317

Grytskyy D, Tetzlaff T, Diesmann M, Helias M (2013), Noise decouples covariances from interaction strength, BMC Neuroscience 2013, 14(Suppl 1):P164, 22nd Annual Computational Neuroscience Meeting (CNS*2013), Paris, France, doi:10.1186/1471-2202-14-S1-P164

Jordan J, Tetzlaff T, Breitwieser O, Petrovici M, Schemmel J, Diesmann M, Meier K (2013), Generation of uncorrelated noise by recurrent neural networks, 3rd BrainScaleS Plenary meeting, Marseille, France

Hagen E, Stavrinou ML, Lindén H, Tetzlaff T, Albada Sv, Dahmen D, Grün S, Diesmann M, Einevoll GT (2013), Hybrid scheme for modeling LFPs from spiking cortical network models, 3rd BrainScaleS Plenary meeting , Marseille, France

Bachmann C, Tetzlaff T, Kunkel S, Bamberger P, Morrison A (2013), Computational characteristics of recurrent neural networks under the influence of Alzheimer’s disease, 10th Göttingen Meeting of the German Neuroscience Society, Göttingen, Germany

Jordan J, Tetzlaff T, Breitwieser O, Petrovici M, Schemmel J, Diesmann M, Meier K (2013), Generation of uncorrelated noise by recurrent neural networks, 10th Göttingen Meeting of the German Neuroscience Society, Göttingen, Germany

Helias M, Tetzlaff T, Diesmann M (2013), Intrinsic and extrinsic sources of correlated activity in recurrent networks, 10th Göttingen Meeting of the German Neuroscience Society, Göttingen, Germany

2012

Grytskyy D, Helias M, Tetzlaff T and Diesmann M (2012), Ornstein-Uhlenbeck-
process joins and extends different theories of correlations, Frontiers in Computational Neuroscience, Conference Abstract: Bernstein Conference 2012, doi:10.3389/conf.fncom.2012.55.00101

Pettersen KH, Lind
én H, Tetzlaff T and Einevoll GT (2012), Can power laws in macroscopic and microscopic neural recordings be explained by the cable properties of neurons?, Frontiers in Computational Neuroscience, Conference Abstract: Bernstein Conference 2012, doi:10.3389/conf.fncom.2012.55.00172

2010

Tetzlaff T, Helias M, Einevoll GT and Diesmann M (2010), Decorrelation of neural-network activity by inhibitory feedback, Frontiers in Neuroscience, Neuroinformatics 2010, doi:10.3389/conf.fnins.2010.13.00068

Tetzlaff T, Helias M, Einevoll GT, Diesmann M (2010), Decorrelation of low-frequency neural activity by inhibitory feedback,
Nineteenth Annual Computational Neuroscience Meeting (CNS*2010), BMC Neuroscience 11(Suppl 1):O11, doi:10.1186/1471-2202-11-S1-O11
pdf

Helias M, Tetzlaff T, Diesmann M (2010), Neurons hear their echo, Nineteenth Annual Computational Neuroscience Meeting (CNS*2010), BMC Neuroscience 11(Suppl 1):P47, doi:10.1186/1471-2202-11-S1-P47
pdf

2009

Nordlie E., Tetzlaff T., Einevoll G.T. (2009), Firing-rate response properties of spiking neurons: beyond the diffusion limit, Frontiers in Neuroinformatics, 2nd INCF Congress of Neuroinformatics, doi:10.3389/conf.neuro.11.2009.08.118

Enger H., Tetzlaff T., Einevoll G.T. (2009), Network tuning by genetic algorithms, Frontiers in Neuroinformatics, 2nd INCF Congress of Neuroinformatics, doi:10.3389/conf.neuro.11.2009.08.101

Tetzlaff T., Einevoll G.T., Diesmann M. (2009), Synchronization and rate dynamics in embedded synfire chains: effect of network heterogeneity and feedback, Eighteenth Annual Computational Neuroscience Meeting: CNS*2009, Berlin, Germany. 18–23 July 2009, BMC Neuroscience 2009, 10(Suppl 1): P258, doi:10.1186/1471-2202-10-S1-P258

Linden H., Pettersen K.H., Tetzlaff T., Potjans T., Denker M., Diesmann M.,
Grün S., Einevoll G.T. (2009), Estimating the spatial range of local field potentials in a cortical population model, Eighteenth Annual Computational Neuroscience Meeting: CNS*2009,  Berlin, Germany. 18–23 July 2009, BMC Neuroscience 2009, 10(Suppl 1): P224, doi:10.1186/1471-2202-10-S1-P224

2008

Tetzlaff T., Einevoll G., Diesmann M. (2008), From spiking networks to population models, Frontiers in Computational Neuroscience, Bernstein Symposium 2008, doi:10.3389/conf.neuro.10.2008.01.014

Boucsein C., Tetzlaff T., Meier R., Aertsen A., Naundorf B. (2008), Dynamical response properties of neocortical neuron ensembles: multiplicative versus additive noise, Frontiers in Computational Neuroscience, Bernstein Symposium 2008, doi:10.3389/conf.neuro.10.2008.01.020

Tetzlaff T., Kriener K., Aertsen A., Diesmann M., Rotter S. (2008), Correlations and population dynamics in cortical networks, 1st INCF Congress of Neuroinformatics: Databasing and Modeling the Brain, Frontiers in Neuroinformatics,
Stockholm doi:10.3389/conf.neuro.11.2008.01.037
 
2007

Tetzlaff T., Rotter S., Aertsen A., Diesmann M. (2007), Time scale dependence of neuronal correlations, COSYNE, Salt Lake City

Kriener, B., Tetzlaff, T., Diesmann, M., Aertsen, A., Rotter, S. (2007), Correlations and population dynamics in cortical networks, COSYNE, Salt Lake City

2006

Tetzlaff T., Rotter S., Aertsen A., Diesmann M. (2006), Time scale dependence of neuronal correlations, 2nd Bernstein Symposium for Computational Neuroscience in Berlin
 

Tetzlaff T., Rotter S., Aertsen A., Diesmann M. (2006), Time scale dependence of neuronal correlations, Proceedings of the 15th Computational Neuroscience Meeting, Edinburgh
 
2005

Kriener K., Tetzlaff T., Aertsen A., Rotter S. (2005), The effect of Dale's principle on network dynamics, 1st Bernstein Symposium for Computational Neuroscience and Inauguration of the BCCN Freiburg
 

Tetzlaff T., Morrison A., Timme M., Diesmann M. (2005), Time-scale dependence of inter-neuronal spike correlations, Proceedings of the 30th Goettingen Neurobiology Conference, Neuroforum Supplement 1, pg. 207B
 
Tetzlaff T., Morrison A., Timme M., Diesmann M.  (2005), Heterogeneity breaks global synchrony in large networks, Proceedings of the 30th Goettingen Neurobiology Conference, Neuroforum Supplement 1, pg. 206B
 

Schoener D., Tetzlaff T., Aertsen A., Diesmann M. (2005), Dynamics of rate and correlation in balanced random networks, Proceedings of the 30th Goettingen Neurobiology Conference, Neuroforum Supplement 1, pg. 208B
 
2003

Tetzlaff T., Buschermoehle M., Diesmann,  M., Geisel T. (2003), The interplay between spike rate and correlation in neural feed-forward architectures, Proceedings of the 29th Goettingen Neurobiology Conference
 

Buschermoehle M., Tetzlaff T., Gruen S., Diesmann M., Geisel T. (2003), Latency Variability of Joint-Spike Events in Cortical Synfire Networks, Verhandl. DPG 38(5):170
 

Buschermoehle M., Tetzlaff T., Gruen S., Diesmann M., Geisel T. (2003), Latency Variability of Synchronous Spiking, Proc. 5th Meeting German Neuroscience Society, pg. 658-659
 

Buschermoehle M., Tetzlaff T., Gruen S., Diesmann M., Geisel T. (2003), Latency variability of synchronous spiking emerging from subthreshold activation, Proceedings of the 29th Goettingen Neurobiology Conference

2002

Tetzlaff T., Buschermoehle M., Geisel T., Diesmann M. (2002), Dynamics of rate and correlation in cortical feed-forward networks, spring conference of the German Pysical Society, Regensburg
 
2001

Tetzlaff T., Geisel T., Diesmann M. (2001), The Ground State of Synfire Structures, Proceedings of the 6th Tamagawa Dynamic Brain Forum, Breisach, pg. P-17
 

Tetzlaff T., Geisel T., Diesmann M. (2001), The Ground State of Synfire Structures, Proceedings of the 28th Goettingen Neurobiology Conference, Thieme, Stuttgart, pg. 260




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