Can a Single Model Explain Different Functions of the Human Brain?
DOI:
https://doi.org/10.21036/LTPUB10618Researcher
Tatjana Tchumatchenko is Research Group Leader at the Max Planck Institute for Brain Research. She is also Faculty Member of the International Max Planck Research School Graduate School for Neural Circuits. The long-term goal of her research group, ‘Theory of Neural Dynamics’, is to uncover how the neural code works and what computational strategies neurons have at their disposal. She is Review Editor of a number of journals, including PLOS Computational Biology and the Journal of Computational Neuroscience. For her scientific work, she has received several awards, for instance the Dollwet Foundation Award in 2016.
Original Publication
Stabilized Supralinear Network Can Give Rise to Bistable, Oscillatory, and Persistent Activity
Nataliya Kraynyukova
,Tatjana Tchumatchenko
Published in 2018
How Linear Response Shaped Models of Neural Circuits and the Quest for Alternatives
Tim Herfurth
,Tatjana Tchumatchenko
Published in 2017
