CIN Staff

In 2007, the CIN started with 25 principal investigators as cluster applicants, as stipulated in the DFG call for bids. When the CIN cluster was approved further  scientists from a range of institutions were incorporated, to make up the 48 'founding members' of the CIN. Since the beginning of 2014 the CIN has consisted of over 80 scientists in total. The membership process involves an application to the steering committee in which the candidate outlines his or her scientific profile and submits a list of publications. The committee's decision is based purely on the scientific excellence of each candidate.

CIN Staff

Prof. Dr. Andreas Bartels

Organization: Werner Reichardt Centre for Integrative Neuroscience


Otfried-Müller-Str. 25
72076 Tübingen

Phone number: +49 (0)7071 29 89168

Department: CIN Vision & Cognition

Position: Head of Research Group

Area: CIN Staff

Scientific topic: Visual Neuroscience

Field of Research

We study high-level visual perception, and its link to attention, memory and social interactions. We use illusions, bi-stable stimuli and virtual reality to gain insights into neural processes involved in conscious perception, scene segmentation, as well as spatial and social cognition. Methodologically we have the privilege to use behavioural and all available non-invasive brain imaging and stimulation tools (3T and 9.4T fMRI, EEG, as well as transcranial magnetic (TMS) and electric (tES) stimulation in our lab) to understand underlying neural processing in the human brain, and to test for causal contributions. We use state-of-the art methods including machine learning and deep neural networks for stimulus generation and data analysis.

For more information, visit our research group page.


fMRI and EEG for localization and connectivity estimation in the human brain. Neuronavigated Transcranial Magnetic Stimulation (TMS) to disturb perception, attentional processes and associated decision making. Virtual Reality, natural movies and binocular rivalry as stimuli. Classical statistics and pattern classification algorithms for de-coding information in brain areas.


brain imaging; cognitive neuroscience; computational neuroscience; emotions; neuro-psychology; pattern classification; spatial cognition; virtual reality; visual motion; visual perception; visual system, deep learning.


Selected Publications

  1. Bannert M., Bartels A. (2018). Human V4 Activity Patterns Predict Behavioral Performance in Imagery of Object Color. Journal of Neuroscience.
  2. Grassi P.R., Zaretskaya N., Bartels A. (2018). A generic mechanism for perceptual organization in the parietal cortex. Journal of Neuroscience.
  3. Kwon S., Watanabe M., Fischer E., Bartels A. (2017). Attention Reorganizes Connectivity across Networks in a Frequency Specific Manner. NeuroImage.
  4. Bannert M., Bartels A. (2013). Decoding the Yellow of a Gray Banana. Current Biology.
  5. Zaretskaya N., Anstis S., Bartels A. (2013). Parietal Cortex Mediates Conscious Perception of Illusory Gestalt. Journal of Neuroscience.
  6. Schindler A., Bartels A. (2013). Parietal Cortex Codes for Egocentric Space beyond the Field of View. Current Biology.