Dr. rer. nat. Axel Hutt

Directeur de Recherche

Project team MIMESIS , INRIA Grand Est

Team MLMS, iCube Strasbourg

1, place de l’Hôpital

67000 Strasbourg 

France

email: axel . hutt AT inria.fr

ORCID: 0000-0003-0041-7431

 

 

Axel Hutt

Research interest:

- data assimilation and forecasting in neural systems

- nonlinear stochastic processes in complex delayed systems,

- modeling and spectral analysis of non-stationary multivariate data

- Applications :

-- general anaesthesia 

-- electromagnetic stimulation (TMS/TES)

-- feedback loops in neurostimulation


Brief CV

 


Editorial activity:

Associate Editor Journal of Clinical Medicine

Chief Section Editor Frontiers In Applied Mathematics and Statistics, section Dynamical Systems 

Research Topics

         
 

General anaesthesia: from theory to experiment

2015

   

Stability: A Current Overview

2020

 

Data Assimilation and Control: Theory and Applications in Life Sciences   

2019

 

Data Assimilation of Nonlocal Observations in Complex Systems

2020

 

Recurrence Analysis of Complex Systems Dynamics

2020

 

Machine Learning in Natural Complex Systems

2021

 

Modelling collective motion across scales

2022

 

Neuromodulation by Digital and Analogue Drugs in Consciousness Research

2023

       

Insights in Dynamical Systems 2022

2023

Edited books:              

   

link

  

link

 

News:

- December 2023: new paper on noise-induced synchronisation as an explanation of ERS/ERD observed in EEG-data (Chaos 33(12):123110 (2023))

- December 2023: new paper on resilience and stability in random networks applying the notion of trivialization (Diversity-induced trivialization and resilience of neural dynamics)

- spring 2024: job offer for a permanent position CRN/ISFP/DR in our team on computational neuroscience of neuromodulation

- talk at the ITI IRMIA++ seminar in Strasbourg, Thursday 18/01 at  09:00

- talk at Workshop Numerics Days Besançon 2024 in Besançon, 29/01 - 30/01


Publications

Publication statistics in Google Scholar


  2024
 

A. Hutt,
Synergetics: doctrine of interactions,
Foundations of Complexity (2024)
, accepted

   A. Hutt, D. Trotter, A. Pariz, T.A. Valiante and J. Lefebvre,
Diversity-induced trivialization and resilience of neural dynamics,
Chaos 34(1):013147 (2024)
 
  2023
 

J. Lefebvre and A. Hutt,
Induced synchronisation by endogenous noise modulation in finite-size random neural networks: a stochastic mean-field study.
Chaos 33(12):123110 (2023)

  A. Hutt, Editorial: Insights in Dynamical Systems 2022,
Frontiers in Applied Mathematics and Statistics 9:1254646 (2023) 
 

T. Wahl, J. Riedinger, M. Duprez and A. Hutt,
Delayed closed-loop neurostimulation for the treatment of pathological brain rhythms in mental disorder: a computational study,
Frontiers in Neuroscience 17:1183670 (2023)

  A. Hutt, S. Rich, T.A. Valiante and J. Lefebvre,
Intrinsic neural diversity quenches the dynamic volatility of neural networks,

Proceedings of National Academy of Sciences USA 120 (28):e2218841120 (2023)

 

A. Pariz, D. Trotter, A. Hutt and J. Lefebvre,
Selective control of synaptic plasticity in heterogeneous networks through transcranial alternating current stimulation (tACS),
PLoS Computational Biology 19(4):e1010736 (2023)

  A. Hutt and A. G. Hudetz,
Arousal system stimulation and anesthetic state alter visuo-parietal connectivity,
Frontiers in System Neuroscience 17:1157488 (2023)
   
 

2022

  B. Dresp-Langley and A. Hutt,
Digital Addiction and Sleep
,
Int. J. Environ. Res. Public Health 19(11): 6910 (2022)
 

N. Abaid, R. Eftimie, A. Hutt, L. van Veen,
Editorial: Modelling Collective Motion Across Scales,
Frontiers in Applied Mathematics and Statistics 8:932364 (2022)

 

A. Hutt, A. Grüning, A. Hansen, T. Hartung and R. Robeva,
Editorial: Machine Learning in Natural Complex Systems,
Frontiers in Applied Mathematics and Statistics 8:869999 (2022)

 

J. Riedinger and A. Hutt,  
Mathematical model insights into EEG origin under transcranial direct current stimulation (tDCS) in the context of psychosis,
Journal of Clinical Medicine 11(7): 1845 (2022)

 

A. Hutt,
Additive Noise-Induced System Evolution (ANISE),
Frontiers in Applied Mathematics and Statistics 8:879866 (2022)

   
  2021
 

A. Hutt and T. Wahl, 
Poisson-distributed noise induces cortical γ-activity: explanation of γ-enhancement by anaesthetics ketamine and propofol,
Journal of Physics : Complexity 3(1):015002

 

A. Hutt, T. Wahl, N. Voges, J. Hausmann and J. Lefebvre, 
Coherence resonance in random Erdos-Renyi neural networks : mean-field theory,

Front. Appl. Math. Stat. 7:697904

  A. Hutt and J. Lefebvre, 
Arousal fluctuations govern oscillatory transitions between dominant gamma- and alpha occipital activity during eyes open/closed conditions,
Brain Topography 35:108-120 (2021)

   
 

2020

 

F. Guarracino and A. Hutt,
Editorial: Stability: A Current Overview
Front. Appl. Math. Stat.6:610153 (2020) 

 

S. Rich, A. Hutt, F. K. Skinner, T. A. Valiante and J. Lefebvre, 
Neurostimulation stabilizes spiking neural networks by disrupting seizure-like oscillatory transitions,
Scientific Reports 10, 15408 (2020). 

 

P. beim Graben, A. Hutt, N. Marwan, C. Uhl and C.L. Webber Jr.,
Editorial: Recurrence Analysis of Complex Dynamics
Front. Appl. Math. Stat. 6:33 (2020)

 

A. Hutt, 
Divergence of the Ensemble Transform Kalman Filter (LETKF) by nonlocal observations,
Frontiers in Applied Mathematics and Statistics 6:42 (2020)

 

J. Schroettle, M. Weissmann, L. Scheck and A. Hutt, 
Assimilating visible and thermal radiances in idealized simulations of deep convection
Monthly Weather Review 1-15 (2020)

 

A. Hutt, J. Lefebvre, D. Hight and H. Kaiser,
Phase coherence induced by additive Gaussian and non-Gaussian noise in excitable networks with application to burst suppression-like brain signals,
Frontiers in Applied Mathematics and Statistics 5:69 (2020) 

 

Axel Hutt* , C Schraff, H Anlauf, L BachM BaldaufE BauernschubertA CressR FaulwetterF FundelC Köpken-WattsH ReichA Schomburg, J Schröttle, K StephanO StillerM Weissmann and R Potthast, 
Assimilation of SEVIRI water vapour channels with an ensemble Kalman filter on the convective scale
Frontiers in Earth Science 8:70 (2020)

   

 

 2019

 

A. Hutt, 
Brain Connectivity Reduction Reflects Disturbed Self-Organisation of the Brain: Neural Disorders and General Anaesthesia,
In: V. Cutsuridis, Multiscale models of Brain Disorders, Springer (2019)

 

A. Hutt, 
Cortico-thalamic circuit model for bottom-up and top-down mechanism in general anaesthesia involving the reticular activating system,
Arch. Neurosci., 6(Brain Mapping):e95498 (2019).

 

A. Hutt, W. Stannat and R. Potthast, 
Editorial: Data Assimilation and Control: Theory and Applications in Life Sciences,
Frontiers in Applied Mathematics and Statistics 5:25 (2019).

 

A. Hutt,
Entwickle die Idee eines eigenen Weges und lass Dich nicht beirren
In: N. Niebuhr, J. Jansen and K. Spindeldreier Physik studiert - und dann? - 
24 Interviews aus der Arbeitswelt, pp. 57-64 (2019)

   
  2018
   
 

A. Hutt and R. Potthast, 
Forecast of Spectral Features by Ensemble Data Assimilation,
Frontiers of Applied Mathematics and Statistics 4:52 (2018)

 

A. Hutt, J. Lefebvre, D. Hight and J. Sleigh,
Suppression of underlying neuronal fluctuations mediates EEG slowing during general anaesthesia, 
Neuroimage 179: 414-428 (2018)

  F. Kurzrock, S. Cros, F. C. Ming, J. A. Otkin, A. Hutt, L. Linguet, G. Lajoie and R. Potthast, 
A review of the use of geostationary satellite observations in regional-scale models for short-term cloud forecasting
Meteorologische Zeitschrift 27(4):277-298 (2018)  

 

A. Hutt, J. Griffiths, C.S. Herrmann and J. Lefebvre,
Effect of Stimulation Waveform on the Cortical Alpha Oscillations,
Frontiers in Neuroscience 12:376 (2018) 

 

M. Hashemi, A. Hutt, L. Buhry and J. Sleigh, 
Optimal Model Parameter Fit to EEG Power Spectrum Features Observed During General Anesthesia
,
Neuroinformatics 16(2):231-251 (2018) 

 

 J. Alswaihli, R. Potthast, I. Bojak, D. Saddy and A. Hutt, 
Kernel Reconstruction for Delayed Neural Field Equations,
J. Math. Neurosci. 8:3 (2018)

 

 A. Hutt and J. Lefebvre, 
Additive Noise Tunes the Self-Organization in Complex Systems,
In: Synergetics, Springer Encyclopedia of complexity and Systems Sciences (2018): 183-195 (2018)

   

 

2017

 

J. Lefebvre, A. Hutt and F. Frohlich, Stochastic Resonance Mediates the State-Dependent Effect of Periodic Stimulation on Cortical Alpha Oscillations,
eLife 6:e32054 (2017)

  A. Hutt and P. beim Graben, Sequences by metastable attractors: interweaving dynamical systems and experimental data,
Frontiers in Applied Mathematics and Statistics 3:11 (2017) 
 

P. Wollstadt, K.K. Sellers, L. Rudelt, V. Priesemann, A. Hutt, F. Froehlich and M.l Wibral, Breakdown of local information processing may underlie isoflurane anesthesia effects,
PLoS Computational Biology 13(6): e1005511 (2017) 

 

M. Hashemi, A. Hutt , D. Hight and J. Sleigh, Anesthetic action on the transmission delay between cortex and thalamus explains the beta buzz observed under propofol anesthesia,
PLoS One 12(6): e0179286 

 

M. Fedotenkova, P. beim Graben, J. Sleigh, A. Hutt, Time-Frequency Representations as Phase Space Reconstruction in Symbolic Recurrence Structure Analysis,
In: I. Rojas, H. Pomares and O. Valenzuela (Eds.). Advances in Time Series Analysis and Forecasting, pp. 89-102 (2017)

   
  2016
   
  T. Tosic, K. K. Sellers, F. Frohlich, M. Fedotenkova, P. beim Graben and A. Hutt, Statistical Frequency-Dependent Analysis of Trial-to-Trial Variability in Single Time Series by Recurrence Plots,
Front. Syst. Neurosci. 9:184.(2016)

 

C. Herrmann, M. M. Murray, S. Ionta, A. Hutt and J. Lefebvre, Shaping neural oscillations with periodic stimulation,
Journal of Neuroscience  36(9): 5328-37 (2016) 

 

P. beim GrabenK. K. SellersF. Fröhlich and A. Hutt, Optimal estimation of recurrence structures from time series,
Europhysics Letters 114(3): 38003 (2016)

 

A. Hutt, A. Mierau and J. Lefebvre, Dynamic Control of Synchronous Dynamics in Networks of Spiking Neurons,
PLoS One, 11(9):e0161488 (2016)

  A. Hutt and J. Lefebvre, Stochastic center manifold analysis in scalar nonlinear systems involving distributed delays and additive noise,
Markov Processes and Related Fields 22:555-57 (2016)

   

 

2015

 

M. Hashemi and A. Hutt, A thalamocortical model to explain EEG during anaesthesia,
In: G. Wunner and A. Pelster,  Selforganization in Complex Systems: The Past, Present, and Future of Synergetics, 305-312 (2015)

 

A. Hutt and J. Lefebvre, Periodic External Input Tunes the Stability of Delayed Nonlinear Systems: From the Slaving Principle to Center Manifolds, ,
In: G. Wunner and A. Pelster,  Selforganization in Complex Systems: The Past, Present, and Future of Synergetics, 
8-24  (2015)

 

P. Wollstadt, K.K. Sellers, A. Hutt, F. Frohlich and M. Wibral, Anaesthesia-related changes in information transfer are partly caused by reduction in local information generation,
Proceedings of
the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Milan: 4045-40480 (2015)

 

E. Nichols and A. Hutt, Neural Field Simulator: two-dimensional spatio-temporal dynamics involving finite transmission speed,
Frontiers in Neuroinformatics 9:25 (2015).

 

A. Hutt and A.G. Hudetz, Editorial: General anesthesia: from theory to experiments, 
Front. Syst. Neurosci. 9: 105 (2015).

 

A. Hutt, M. Hashemi and P. beim Graben, How to render Neural Fields more realistic,
In B. Bhattacharya and F. N. Chowdhury (Eds.),Validating Neuro-Computational Models of Neurological and Psychiatric Disorders, 141-159 (2015)

 

M. Hashemi, A. Hutt and J. Sleigh, How the cortico-thalamic feedback affects the EEG power spectrum over frontal and occipital regions during propofol-induced anaesthetic sedation,
J. Comput. Neuroscience 39(1): 155 (2015).

 

C. Schwappach, A. Hutt and P. beim Graben, Metastable dynamics in heterogeneous neural fields,
Frontiers in Systems Neuroscience 9:97 (2015).

 

Kristin Sellers, Davis Bennett, Axel Hutt, James Williams and Flavio Frohlich, Awake versus Anesthetized: Layer-Specific Sensory Processing in Visual Cortex and Functional Connectivity between Cortical Areas
Journal of Neurophysiology 113(10):3798-815 (2015).

 

J. Lefebvre, A. Hutt, J.-F. Knebel, K. Whittingstall and M. Murray, Stimulus Statistics shape oscillations in nonlinear recurrent neural networks
Journal of Neuroscience 35(7): 2895-2903 (2015).

 

P. beim Graben and A. Hutt, Detecting event-related recurrences by symbolic analysis: Applications to human language processing, 
Philosphical Transactions of the Royal Society A 373:20140089 (2015)

   

 

2014

 

A. Hutt and N. Rougier, Numerical simulation scheme of one- and two dimensional neural fields involving space-dependent delays.
In: S. Coombes et al. (Eds.), Neural Fields, Springer: 175-185 (2014)

 

M. Hashemi, A. Hutt and J. Sleigh, Anesthetic action on extra-synaptic receptors: effects in neural population models of EEG activity, 
Frontiers in Systems Neuroscience 8:232 (2014)

 

A. Hutt and L. Buhry, Study of GABAergic extra-synaptic tonic inhibition in single neurons and neural populations by traversing neural scales: application to propofol-induced anaesthesia
Journal of Computational Neuroscience 37(3): 417-437 (2014)

 

P. beim Graben and A. Hutt, Attractor and saddle node dynamics in heterogeneous neural fields
EPJ Nonlinear Biomedical Physics 2:4 (2014)

 

L. Zhang and A. Hutt, Traveling Wave Solutions of Nonlinear Scalar Integral Differential Equations Arising from Synaptically Coupled Neuronal Networks
Journal of Applied Analysis and Computation 4(1): 1-68 (2014)

   

 

2013

 

K. K. Sellers, D. V. Bennett, A. Hutt and F. Frohlich, Anesthesia Differentially Modulates Spontaneous Network Dynamics by Cortical Area and Layer,
Journal of Neurophysiology 110: 2739-2751 (2013)

 

A. Hutt, Neural Field Model, Continuum
Springer Encyclopedia in Computational Neuroscience (2013)

 

A. Hutt, Pattern Formation in Neural Population Models
Springer Encyclopedia in Computational Neuroscience (2013)

 

A. Hutt, J. Sleigh, A. Steyn-Ross and M. Steyn-Ross, General anaesthesia
Scholarpedia 8(8): 30485 (2013)

 

A. Hutt and L. Zhang, Distributed nonlocal feedback delays may destabilize fronts in neural fields, distributed transmission delays do not
Journal Mathematical Neuroscience 3: 9 (2013)

 

T. Schubert, M. Palazova and A. Hutt, The time course of temporal attention effects on non-conscious prime processing
Attention, Perception & Psychophysics 75(8): 1667-1686 (2013)

 

J. Lefebvre and A. Hutt, Additive noise quenches delay-induced oscillations,
Europhysics Letters 102: 60003 (2013)

 

P. beim Graben and A. Hutt, Detecting metastable states of dynamical systems by recurrence-based symbolic dynamics,
Physical Review Letters 110: 154101 (2013) 

 

A. Hutt, The anaesthetic propofol shifts the frequency of maximum spectral power in EEG during general anaesthesia: analytical insights from a linear model
Frontiers in Computational Neuroscience 7: 2 (2013)

   

 

2012

 

J. Lefebvre, A. Hutt, V.G. LeBlanc and A. Longtin, Reduced dynamics for delayed systems with harmonic or stochastic forcing,
Chaos 
22: 043121 (2012)

 

A. Hutt, J. Lefebvre and A. Longtin, Delay stabilizes stochastic systems near an non-oscillatory instability,
Europhysics Letters 98: 20004 (2012)

 

A. Hutt, The population firing rate in the presence of GABAergic tonic inhibition in single neurons and application to general anaesthesia,
Cognitive Neurodynamics 6: 227-237 (2012)

   

 

2011

 

M. Rio, A. Hutt, M. Munk and B. Girau, Partial amplitude synchronization detection in brain signals using Bayesian Gaussian mixture models,
Journal of Physiology (Paris) 1-3(105): 98-105 (2011) 

 

A. Hutt, A neural population model of the bi-phasic EEG-power spectrum during general anaesthesia, 
in A. Hutt (Ed.), Sleep and Anesthesia: Neural correlates in theory and experiments (Springer): 227-242 (2011).

 

N.Rougier and A.HuttSynchronous and Asynchronous Evaluation of Dynamic Neural Fields,
J.Difference Eqs.
 Appl. 17(8): 1119-1133 (2011)

   

 

2010

 

A. Hutt and N. Rougier, Activity spread and breathers induced by finite transmission speeds in two-dimensional neural fields,
Phys. Rev. E 82: R055701 (2010) 
(also in the Virtual Journal of Biological Research 20(10), 2010 http://www.vjbio.org)

 

A.HuttSpatio-temporal instabilities in neural fields and the effects of additive noise
In: 
Modelling Phase Transitions in the Brain, D.A.Steyn-Ross and M.L.Steyn-Ross (Springer): 53-80 (2010)

   

 

2009

 

A.Hutt, Sleep and anesthesia,
Frontiers in Neuroscience 3(3), 408-409 (2009)

 

A.Hutt, Oscillatory activity in excitable neural systems,
Contemporary Physics 51(1): 3-16 (2009)

 

W.Taouali, F.Alexandre, A.Hutt, N.Rougier, Asynchronous evaluation as an efficient and natural way to compute neural networks, 
Numerical Analysis and Applied Mathematics: Intern. Conf. Num. Ana. Appl. Math. 2009. AIP Conference Proceedings 1168: 554-558 (2009).

 

A.Hutt and A.Longtin, Effects of the anesthetic agent propofol on neural populations,
Cognitive Neurodynamics 4(1): 37-59 (2009)

 

H.Schmidt, A.Hutt and L.Schimansky-Geier, Wave fronts in inhomogeneous neural field models,
Physica D 238 (14): 1101-1112 (2009)

 

A.HuttFinite Propagation Speeds in Spatially Extended Systems,
In: Complex Time-Delay Systems, F. Atay, ed. (Springer, Berlin): 151-176 (2009)

 

A.Hutt and M.H.J.MunkDetection of phase synchronization in multivariate single brain signals by a clustering approach,
In: Coordinated Activity in the Brain: measurements and relevance to brain function and behaviour, R. Wennberg and J. L. Perez Velazquez, Eds. (Springer, 2009): 149-164 (2009)

   

 

2008

 

A.HuttAdditive noise may change the stability of nonlinear systems,
Europhys. Lett. 84: 34003 1-4 (2008)

 

A.Hutt, C.Sutherland and A.Longtin, Driving neural oscillations with correlated spatial input and topographic feedback,
Physical Review E 78: 021911 1-7 (2008) , (also in the Virtual Journal of Biological Research 16(5), 2008 http://www.vjbio.org)

 

A.Hutt and L.Schimansky-Geier, Anesthetic-induced transitions by propofol modeled by nonlocal neural populations involving two neuron types,
J.Biol.Phys. 34(3-4): 433-440 (2008)

 

A.HuttLocal excitation-lateral inhibition interaction yields oscillatory instabilities in nonlocally interacting systems involving finite propagation delay,
Physics Letters A 372(5): 541-546 (2008)

 

A.Hutt, A.Longtin and L.Schimansky-Geier, Additive noise-induced Turing transitions in spatial systems with application to neural fields and the Swift-Hohenberg equation,
Physica D 237: 755-773 (2008)

 

2007

 

A.Hutt, A.Longtin and L.Schimansky-Geier, Additive global noise delays Turing bifurcations,
Physical Review Letters 98: 230601 01-04 (2007)

 

A.HuttGeneralization of the reaction-diffusion, Swift-Hohenberg, and Kuramoto-Sivashinsky equations and effects of finite propagation speeds,
Physical Review E 75: 026214 1-8 (2007)

 

A.Hutt and F.M.Atay, Spontaneous and evoked activity in extended neural populations with gamma-distributed spatial interactions and transmission delay,
Chaos, Solitons and Fractals 32: 547-560 (2007)

 

A.Hutt and M.H.J.Munk, Mutual phase synchronization in single trial data,
Chaos and Complexity Letters 2 (2/3): 225-246 (2007)

 

A.Hutt and M.Schrauf, Detection of transient synchronization in multivariate brain signals,application to event-related potentials,
Chaos and Complexity Letters 3(1), 1-24 (2007) also in Progress in Chaos and Complexity Research, F.F. Orsucci and N. Sala (Eds.), Nova Publisher (2009)

 

F. M. Atay and A. HuttDynamics of neural fields with distributed transmission speeds
In 
Proc. ECMTB 2005: European Conf. Mathematical and Theoretical Biology , Dresden, 2005 (Birkhauser Boston, 2007)

 

2006

 

F.M.Atay and A.HuttNeural fields with distributed transmission speeds and long-range feedback delays,
SIAM Journal Applied Dynamical Systems 5(4): 670-698 (2006) 

 

A.Hutt and F.M. Atay, Effects of distributed transmission speeds on propagating activity in neural populations,
Physical Review E 73: 021906 1-5 (2006)
 (also in the Virtual Journal of Biological Research , February 15 (2006) http://www.vjbio.org)

 

2005

 

A.Hutt and T.D.Frank, Critical fluctuations and 1/f -activity of neural fields involving transmission delays,
Acta Physica Polonica A 108(6): 1021-1040 (2005) 

 

A.Hutt and F.M.Atay, Analysis of nonlocal neural fields for both general and gamma-distributed connectivities,
Physica D 203(1-2): 30-54 (2005)

 

F.Atay and A.HuttStability and Bifurcations in Neural Fields with Finite Propagation Speed and General Connectivity,
SIAM J. Appl. Math. 65(2): 644-666 (2005)

 

2004

 

A.HuttEffects of nonlocal feedback on traveling fronts in neural fields subject to transmission delay,
Physical Review E 70: 052902 1-4 (2004), (also in the Virtual Journal of Biological Research , November 15 (2004) http://www.vjbio.org.)

 

A.HuttAn Analytical Framework For Modeling Evoked and Event-Related Potentials,
Int. J. Bifurcation and Chaos 14(2): 653-666 (2004) 

 

2003

 

A.Hutt, A.Daffertshofer and U.Steinmetz, Detection of phase synchronisation in non-stationary multivariate time series and application to phase ensembles and chaotic data,
Physical Review E 68: 036219 1-10 (2003)

 

A.Hutt and H.Riedel, Analysis and Modeling of Non-stationary Multivariate Time Series and Application to Middle Latency Auditory Evoked Potentials,
Physica D 177 (1-4): 203-232 (2003)

 

A.Hutt, M.Bestehorn and T.Wennekers, Pattern formation in intracortical neuronal fields,
Network: Computation in Neural Systems 14: 351-368 (2003)

 

2002-1999

 

A.Hutt and F.Kruggel, Fixed Point Analysis: Dynamics of Nonstationary spatiotemporal signals, 
in S.Boccaletti et al. (Ed.), "Space-time chaos: Charachterization, control and synchronization",World Scientific, 2002

 

C.Uhl, A.Hutt and F.Kruggel, Improvement of Source Localization by Dynamical Systems Based Modelling,
Brain Topography 13(3), 219-226 (2001)

 

A.Hutt, M.Svensen, F.Kruggel and R.Friedrich, Detection of fixed points in spatiotemporal signals by a clustering method,
Physical Review 61(5),R4691-4693 (2000)

 

A.Hutt, C. Uhl and R.Friedrich, Analysis of spatiotemporal signals: A method based on perturbation theory
Physical Review E 60(2),1350-1358 (1999)

 

Books

 

 

A.Hutt, Untersuchung einer neuronalen Feldgleichung mittels eines MEG-Experiments am Menschen, Diploma Thesis at Institute for Theoretical Physics and Synergetics, University of Stuttgart (1997) 

 

A.Hutt, Methoden zur Untersuchung der Dynamik raumzeitlicher Signale, PhD-Thesis, University of Stuttgart at Max Planck-Instituite of Cognitive Neuroscience Leipzig, MPI Series in Cognitive Neuroscience (2001)

 

A.Hutt (Editor)Sleep and Anesthesia: Neural correlated in theory and experiments, Springer-Verlag (2011)

 

A. Hutt and H. Haken, Synergetics, Springer-Verlag 2020