Neural statistics in the auditory brain
The research group Peopleslab, led by Dr.
Alessandro Tavano, uses EEG, MEG (in humans) and LFP (in animals) to test how
the brain modulates its responses depending on the distributional properties
of stimulus sequences, both in the time and spectral domains. In particular,
we ask which empirical distribution enhances neural performance at target
detection or stimulus discrimination. We use simple stimuli as series of pure
tones, as well as complex speech and language stimuli (e.g., narratives,
conversations).
Key Information
Faculty: Psychology and Sport Sciences
Principal Investigator: Dr. Alessandro Tavano
Contact: a.tavano@psych.uni-frankfurt.de
Co-Supervisors: Michael Ernst, Hakam Neamaalkassis (Advanced PhD students)
Contact: ernst@psych.uni-frankfurt.de; neamaalk@its.uni-frankfurt.de
Website: Peopleslab
Intake Availability: Summer and Fall
Capacity: 1-2 students
Credits: 18 ECTS Credits
Research Overview
The students will participate in all aspects of project management, from script testing to data collection and data analysis. Their work will be assessed via poster presentation.
Requirements
Coding in either Python or Matlab is a big plus, although the most important aspect is personal engagement. We are happy to help train students in scientific coding techniques. We are open to all ages, although ideally advanced Bachelor's or Master's students would be a good fit.
We are happy to provide specific support for minorities, with a particular attention to the LGBTQ+ community and in light of an intersectional view of academia.
Literature
https://www.jneurosci.org/content/41/31/6726
https://www.nature.com/articles/s41583-022-00659-5
