Register now After registration you will be able to apply for this opportunity online.
This opportunity is not published. No applications will be accepted.
Single-unit activity of human amygdala neurons during fear conditioning
Fear conditioning is a form of aversive associative learning that relies on synaptic plasticity in the amygdala. Non-human electrophysiological studies have revealed a role of theta and gamma oscillations in this process (Seidenbecher et al. 2003, Science, Stujenske et al. 2014, Neuron) but recent human MEG research from our own lab indicates species differences. We have now gathered LFP and single-unit data from human intracranial recordings on pre-surgical epileptic patients.
In the project, you will analyse existing single unit data, building on pipelines developed in our own and in a collaborating lab. You will learn and deploy electrophysiological analysis methods and Matlab programming, to analyse oscillatory activity and spike trains in a delay fear conditioning task. You will work closely together with collaborating researchers in other labs. The project can be adapted to a 12 month UZH or 6 month ETH MSc thesis.
We seek either of these two profiles, depending on your background:
(1) You have a background in engineering, computer science, physics, or related fields, and a strong interest in understanding biological facts to put the data analysis into a wider context. An ability to conduct data analyses (e.g. in Python, R, or MATLAB) is required.
(2) Your background is in neuroscience, biology, psychology, or related fields, and you have first experience with programming. An ability to analyze acquired data in MATLAB or R, or a strong interest in learning to do so is required.
In the project, you will analyse existing single unit data, building on pipelines developed in our own and in a collaborating lab. You will learn and deploy electrophysiological analysis methods and Matlab programming, to analyse oscillatory activity and spike trains in a delay fear conditioning task. You will work closely together with collaborating researchers in other labs. The project can be adapted to a 12 month UZH or 6 month ETH MSc thesis. We seek either of these two profiles, depending on your background: (1) You have a background in engineering, computer science, physics, or related fields, and a strong interest in understanding biological facts to put the data analysis into a wider context. An ability to conduct data analyses (e.g. in Python, R, or MATLAB) is required. (2) Your background is in neuroscience, biology, psychology, or related fields, and you have first experience with programming. An ability to analyze acquired data in MATLAB or R, or a strong interest in learning to do so is required.
Not specified
Prof. Dr. Dominik R. Bach
dominik.bach@uzh.ch
www.bachlab.org
Prof. Dr. Dominik R. Bach dominik.bach@uzh.ch www.bachlab.org