Medizinische Physik

Arne Meyer

I'm now a postdoc at the Gatsby Computational Neuroscience Unit, working with Maneesh Sahani on nonlinear stimulus-response models and cortical population dynamics.

I have previously completed my Ph.D. at the University of Oldenburg (title: "Statistical models of neural processing in the ascending auditory pathway")

 

Contact

Gatsby Computational Neuroscience Unit

University College London

17 Queen Square

London WC1N 3AR, UK

Phone: +44 (0)20 79679 1185

Email:

arne [at] gatsby [dot] ucl [dot] ac [dot] uk

arne.f.meyer [at] uni-oldenburg [dot] de

 

Previous work

 
  • PhD student in the medical physics section at the University of Oldenburg struggling with statistical learning methods and auditory neural processing (joint work with Prof. Frank Ohl Leibniz Institute For Neurobiology in Magdeburg)
  • Research staff in the SFB/TR 31: The active auditory system
  • Statistical learning and pattern recognition: neural networks, support vector machines, regularization methods, model complexity, ... see this book
  • Modelling of neural processing in the auditory system: single neurons, neural populations, local field potentials, ... here is another book
  • Some more work on estimation of auditory spectro-temporal receptive fields using statistical learning methods
  • Acoustic object classification based on spectro-temoral receptive fields (joint work with JH Bach)
  • Neural correlates of behavioural thresholds in gerbils (cooperation with Lena-Vanessa Dollezal and Proj. Georg Klump)
  • Searching for a better photo ...
 

Undergraduate work

 

Publications

PEER-REVIEWED JOURNALS

Arne F. Meyer, Jan-Philipp Diepenbrock, Max F.K. Happel, Frank W. Ohl, and Jörn Anemüller (2014): Discriminative Learning of Receptive Fields from Responses to non-Gaussian Stimulus Ensembles. PLoS ONE 9(4): e93062. doi:10.1371/journal.pone.0093062 link

Arne F. Meyer, Jan-Philipp Diepenbrock, Frank W. Ohl, and Jörn Anemüller (2014): Temporal variability of spectro-temporal receptive fields in the anesthetized auditory cortex. Front. Comput. Neurosci. 8:165. doi: 10.3389/fncom.2014.00165 link

Meyer AF, Diepenbrock J-P, Ohl FW, Anemüller J (2015) Fast and robust estimation of spectro-temporal receptive fields using stochastic approximations (accepted for publication in Journal of Neuroscience Methods)

Meyer AF (n.d.) Efficient processing of naturalistic temporal modulations emerges along the ascending auditory pathway (in prep.)

 

Peer-reviewed conferences

Joerg-Hendrik Bach*, Arne F. Meyer*, Duncan McElfresh and Joern Anemueller: Automatic classification of audio using nonlinear neural response models. ICASSP 2012
* These authors contributed equally to this work

Birger Kollmeier, Marc. R. Schaedler, Arne F. Meyer, Joern Anemueller, Bernd T. Meyer: Do we need STRFs for Cocktail Parties? - On the relevance of physiologically motivated features for human speech perception derived from automatic speech recognition (ASR). Adv Exp Med Biol. 2013;787:333-41. doi: 10.1007/978-1-4614-1590-9_37.

Arne F. Meyer, Jan-Philipp Diepenbrock, Frank W. Ohl, Joern Anemueller: Quantifying neural coding noise in linear threshold models. In: Proceedings of the 6th International IEEE/EMBS Conference on Neural Engineering, NER 2013, San Diego. link


Proceedings

Arne F Meyer, Max FK Happel, Frank W Ohl and Joern Anemueller: Estimation of spectro-temporal receptive fields based on linear support vector machine classification. BMC Neuroscience 2009, 10(Suppl 1):P147 (abstract, poster)

Arne F Meyer, Max FK Happel, Frank W Ohl and Joern Anemueller: Estimation of spectro-temporal receptive fields based on linear support vector machine classification. 3rd Int. Conf. on Auditory Cortex, Magdeburg, 2009 (abstract, poster)

Arne F Meyer, Jan-Philipp Diepenbrock, Max FK Happel, Frank W Ohl and Joern Anemueller: A machine learning approach to estimation of auditory spectro-temporal receptive fields . in Proc. 9th Göttingen Meeting of the German Neuroscience Society, Göttingen, 2011. (abstract, poster)

Arne F Meyer, Jan P Diepenbrock, Frank W Ohl and Joern Anemueller: Evaluation and comparison of different machine learning approaches to auditory spectro-temporal receptive field estimation. BMC Neuroscience 2011, 12(Suppl 1):P4 (abstract)

Arne F Meyer and Joern Anemueller: Robust and efficient receptive field inference from binary spike decisions with stochastic gradient descent. 12th Granada Seminar on Physics, Computations, and the Mind. La Herradura. 2012.

Arne F Meyer, Jan-Philipp Diepenbrock, Frank W Ohl and Joern Anemueller: Receptive field inference from binary spike decisions for responses to non-Gaussian stimulus ensembles. 10th Göttingen Meeting of the German Neuroscience Society, Göttingen, 2013.

Arne F Meyer, Jan-Philipp Diepenbrock, Frank W Ohl and Joern Anemueller: Towards on-line estimation of non-Gaussian stimulus receptive fields using large-margin classification. Bernstein Conference, Tuebingen, 2013.

Arne F Meyer, Jan-Philipp Diepenbrock, Frank W Ohl and Joern Anemueller: Fast and reliable estimation of non-Gaussian stimulus receptive fields using large-margin classification. Annual Meeting of the Society for Neuroscience, San Diego, 2013.

Links

DIRAC Project
SFB/TR 31: The active auditory system
Statistical modelling group