Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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1.080 Topics available

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693.932 PEOPLE
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Maastricht University

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (12/12 displayed)

  • 2021Validating layer-specific VASO across species19citations
  • 2020Periodicity Pitch Detection in Complex Harmonies on EEG Timeline Datacitations
  • 2017Robust and fast nonlinear optimization of diffusion MRI microstructure models118citations
  • 2015Histological validation of high-resolution DTI in human post mortem tissue146citations
  • 2015Evidence for normal letter-sound integration, but altered language pathways in a case of recovered Landau-Kleffner Syndrome6citations
  • 2007When sex meets syntactic gender on a neural basis during pronoun processing28citations
  • 2007Common neural substrates for visual working memory and attention208citations
  • 2006Cerebral correlates of impaired grating perception in individual, psychophysically assessed human amblyopes100citations
  • 2006The temporal characteristics of motion processing in hMT/V5+: Combining fMRI and Neuronavigated TMS108citations
  • 2004Attentional systems in target and distractor processing: a combined ERP and fMRI study.270citations
  • 2002Functional imaging of visuospatial processing in Alzheimer's disease.178citations
  • 2002Integration of multiple motion vectors over space: A fMRI study of transparent motion perception.44citations

Places of action

Chart of shared publication
Fear, Elizabeth J.
1 / 1 shared
Kaas, Amanda
1 / 1 shared
Berwick, Jason
1 / 1 shared
Dresbach, Sebastian
1 / 1 shared
Poser, Benedikt A.
1 / 2 shared
Turner, Robert
1 / 1 shared
Kennerley, Aneurin J.
1 / 1 shared
Stolzenburg, Frieder
1 / 1 shared
Heinze, Maria
1 / 1 shared
Hausfeld, Lars
1 / 1 shared
Tobisch, A.
1 / 1 shared
Lagos Fritz, Francisco Javier
1 / 1 shared
Harms, Robbert Leonard
1 / 1 shared
Roebroeck, Alard
2 / 3 shared
Fonseca, L.
1 / 3 shared
Seehaus, A.
1 / 1 shared
Bastiani, Matteo
1 / 1 shared
Bratzke, H.
1 / 1 shared
Lori, N.
1 / 1 shared
Vilanova, A.
1 / 3 shared
Galuske, R.
1 / 1 shared
Sorger, Bettina
1 / 1 shared
Blau, Vera
1 / 1 shared
Pullens, Will
1 / 1 shared
Jansma, Bernadette M.
2 / 4 shared
Pullens, Pim
1 / 1 shared
Schwarzbach, J. V.
1 / 1 shared
Münte, T. F.
1 / 2 shared
Hammer, A.
1 / 1 shared
Mayer, J. S.
1 / 1 shared
Bittner, R. A.
1 / 1 shared
Nikolic, D.
1 / 1 shared
Linden, D. E.
3 / 3 shared
Bledowski, C.
2 / 2 shared
Sireteanu, R.
1 / 1 shared
Tonhausen, N.
1 / 1 shared
Muckli, L.
2 / 2 shared
Singer, W.
2 / 3 shared
Kiess, S.
1 / 1 shared
Sack, Alexander
2 / 2 shared
Linden, David
1 / 2 shared
Kohler, A.
1 / 8 shared
Zanella, F. E.
3 / 3 shared
Prvulovic, D.
2 / 2 shared
Melillo, L.
1 / 2 shared
Lanfermann, H.
1 / 1 shared
Dierks, T.
1 / 1 shared
Frolich, L.
1 / 1 shared
Maurer, K.
1 / 1 shared
Hubl, D.
1 / 1 shared
Muckli, L. F.
1 / 1 shared
Chart of publication period
2021
2020
2017
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Co-Authors (by relevance)

  • Fear, Elizabeth J.
  • Kaas, Amanda
  • Berwick, Jason
  • Dresbach, Sebastian
  • Poser, Benedikt A.
  • Turner, Robert
  • Kennerley, Aneurin J.
  • Stolzenburg, Frieder
  • Heinze, Maria
  • Hausfeld, Lars
  • Tobisch, A.
  • Lagos Fritz, Francisco Javier
  • Harms, Robbert Leonard
  • Roebroeck, Alard
  • Fonseca, L.
  • Seehaus, A.
  • Bastiani, Matteo
  • Bratzke, H.
  • Lori, N.
  • Vilanova, A.
  • Galuske, R.
  • Sorger, Bettina
  • Blau, Vera
  • Pullens, Will
  • Jansma, Bernadette M.
  • Pullens, Pim
  • Schwarzbach, J. V.
  • Münte, T. F.
  • Hammer, A.
  • Mayer, J. S.
  • Bittner, R. A.
  • Nikolic, D.
  • Linden, D. E.
  • Bledowski, C.
  • Sireteanu, R.
  • Tonhausen, N.
  • Muckli, L.
  • Singer, W.
  • Kiess, S.
  • Sack, Alexander
  • Linden, David
  • Kohler, A.
  • Zanella, F. E.
  • Prvulovic, D.
  • Melillo, L.
  • Lanfermann, H.
  • Dierks, T.
  • Frolich, L.
  • Maurer, K.
  • Hubl, D.
  • Muckli, L. F.
OrganizationsLocationPeople

document

Periodicity Pitch Detection in Complex Harmonies on EEG Timeline Data

  • Stolzenburg, Frieder
  • Heinze, Maria
  • Goebel, Rainer
  • Hausfeld, Lars
Abstract

An acoustic stimulus, e.g., a musical harmony, is transformed in a highly non-linear way during the hearing process in ear and brain. We study this by comparing the frequency spectrum of an input stimulus and its response spectrum in the auditory processing stream using the frequency following response (FFR). Using electroencephalography (EEG), we investigate whether the periodicity pitches of complex harmonies (which are related to their missing fundamentals) are added in the auditory brainstem by analyzing the FFR. While other experiments focus on common musical harmonies like the major and the minor triad and dyads, we also consider the suspended chord. The suspended chord causes tension foreign to the common triads and therefore holds a special role among the triads. While watching a muted nature documentary, the participants hear synthesized classic piano triads and single tones with a duration of 300ms for the stimulus and 100ms interstimulus interval. We acquired EEG data of 64 electrodes with a sampling rate of 5kHz to get a detailed enough resolution of the perception process in the human brain. Applying a fast Fourier transformation (FFT) on the EEG response, starting 50ms after stimulus onset, the evaluation of the frequency spectra shows that the periodicity pitch frequencies calculated beforehand +/-3Hz occur with some accuracy. However, jitter turned out as a problem here. Note that the sought-for periodicity pitch frequencies do not physically exist in the frequency spectra of the stimuli.

Topics
  • impedance spectroscopy
  • experiment