*Unsupervised Local Learning and Efficient Coding
*
Our group investigates learning and self-regulation in neural and social
networks. By putting both side-by-side, we carve out the principles of
self-regulation in living networks. The PhD / PostDoc projects are open
topic. If you are interested to understand the principles or
implementation of learning in living systems in the context of
*efficient coding and its implementation via (unsupervised) local
learning rules,* in the context of our ongoing work (e.g. [1-5]), we
welcome your application. In our group, we combine approaches from
statistical physics, data science, control theory, and information
theory to carve out how local, unsupervised learning shapes network
function. Potential collaborations with our colleagues from theory and
experiment e.g. in Göttingen, Bonn, Tübingen, or Oxford are possible and
encouraged.
*Deadline*: February 10, 2023 (first position) and April 30, 2023
(second position). It should not matter, which application deadline you
choose.
*Further Details: *
https://www.viola-priesemann.de/open-positions-2/ or
https://www.nature.com/naturecareers/job/two-phd-mfx-or-postdoc-positions-mfx-on-computational-neuroscience-max-planck-institute-for-dynamics-and-selforganization-mpids-769309
Please note also our complementary open position on self-organization in
social networks.
*References:
*[1]Zierenberg, Wilting & Priesemann, PRX 2018
<https://journals.aps.org/prx/abstract/10.1103/PhysRevX.8.031018>
[2] Mikulasch, Rudelt & Priesemann,
<https://www.pnas.org/doi/full/10.1073/pnas.2021925118>PNAS 2021
<https://www.pnas.org/doi/full/10.1073/pnas.2021925118>
[3] Jaehne et al., Cell Reports, 2021
<https://www.sciencedirect.com/science/article/pii/S2211124721001558>
[4] Rowland et al., biorxiv, 2021
<https://www.biorxiv.org/content/10.1101/2021.12.28.474343v1.abstract>
[5] Mikulasch, Rudelt, Wibral & Priesemann, TINS 2022
<https://www.sciencedirect.com/science/article/pii/S0166223622001862>
--
Summer school on infodemics and pandemics:https://summerschool.infodemics.info/
Prof. Dr. Viola Priesemann
Max-Planck-Institute for Dynamics and Self-Organization &
Georg-August-University Göttingen
Am Fassberg 17, 37077 Göttingen
https://priesemann-group.github.io
www.viola-priesemann.de
[email protected]
