Neural Data Analysis


We are interested in how neural circuits in sensory systems perform the computations necessary to mediate behavior. To make progress on this question , we develop machine learning tools, statistical modeling approaches and data analytics solutions for making sense of the large scale high-dimensional data sets acquired by our experimental collaborators (visual cortex: Tolias lab; retina: Euler lab, barrel system: Schwarz lab). The following examples are representative of the type of work we do in this area:

Selected References

L. Theis, P. Berens, E. Froudarakis, J. Reimer, M. Roman-Roson, T. Baden, T. Euler, A. S. Tolias, et al.
Benchmarking spike rate inference in population calcium imaging
Neuron, 90(3), 471-482, 2016
#two-photon imaging, #spiking neurons
Code, URL, DOI, BibTex

E. Froudarakis, P. Berens, A. S. Ecker, R. J. Cotton, F. H. Sinz, D. Yatsenko, P. Saggau, M. Bethge, et al.
Population code in mouse V1 facilitates read-out of natural scenes through increased sparseness
Nature Neuroscience, 17, 851-857, 2014
#sparsity, #natural image statistics, #population coding, #v1, #two-photon imaging
URL, DOI, PDF, BibTex

A. S. Ecker, P. Berens, R. J. Cotton, M. Subramaniyan, G. H. Denfield, C. R. Cadwell, S. M. Smirnakis, M. Bethge, et al.
State dependence of noise correlations in macaque primary visual cortex
Neuron, 82(1), 235-248, 2014
#noise correlations, #gpfa, #population, #anesthesia, #macaque
Code, URL, DOI, PDF, BibTex

L. Theis, A. M. Chagas, D. Arnstein, C. Schwarz, and M. Bethge
Beyond GLMs: A Generative Mixture Modeling Approach to Neural System Identification
PLoS Computational Biology, 9(11), 2013
#generalized linear model, #spiking neurons, #mixture models
Code, URL, DOI, PDF, BibTex

T. Baden, P. Berens, M. Bethge, and T. Euler
Spikes in Mammalian Bipolar Cells Support Temporal Layering of the Inner Retina
Current Biology, 23(1), 48-52, 2013
#retina, #bipolar cells, #population coding
URL, DOI, PDF, BibTex

S. Gerwinn, J. Macke, and M. Bethge
Bayesian inference for generalized linear models for spiking neurons
Frontiers in Computational Neuroscience, 4, 2010
#bayesian inference, #generalized linear model, #spiking neurons
Code, URL, DOI, PDF, BibTex

J. H. Macke, S. Gerwinn, L. White, M. Kaschube, and M. Bethge
Gaussian process methods for estimating cortical maps
NeuroImage, 56(2), 570-581, 2010
#gaussian process
Code, URL, DOI, PDF, BibTex

University of Tuebingen BCCN CIN MPI