CIN Members

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 Members

Dr. Axel Lindner

Organization: Hertie Institute for Clinical Brain Research


Otfried-Müller-Str. 27
72076 Tübingen

Phone number: +49 (0)7071 29 80469

Department: Neurobiology of Decision Making, Dept. of Cognitive Neurology

Area: CIN Members

Field of Research

Our interdisciplinary research ranges from studies of perceptual decisions about the causation of sensory events (i.e. authorship attribution), over investigations of choice behaviour (decision making and choice overload), to response selection and action planning. Specifically, we are investigating how - in the light of various alternative options - an optimal goal-directed motor behaviour is selected and generated by our nervous system. Moreover we focus on the optimal perceptual interpretation of such behaviour. Finally - apart from its contribution to the understanding of healthy behaviour and brain function - our research also tries to gain better knowledge about related clinical symptoms in various patient groups such as delusions of influence in Schizophrenia patients or disorders of action perception (vs. action planning) in patients with cerebellar and parietal lesions. To this end we perform psychophysical experiments (including the measurement of eye-, hand- and arm- movements) and functional imaging studies (using [combined] fMRI, MEG and EEG). Moreover, we are developing advanced analytical tools for the detection of distributed information in both single cell recordings and functional imaging data (also see NoD Lab tools), in order to get a more comprehensive understanding of how both human and monkey cortical and sub-cortical functional networks subserve action planning and action perception. Empirical investigations are thereby not only grounded in systems neuroscience: importantly, our research is also inspired and validated by philosophical analysis, computational modelling and economic (decision) theory.