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Loreen Hertäg
Loreen Hertäg
Imperial College London
Verified email at tu-berlin.de
Title
Cited by
Cited by
Year
Diffusion of CH4 and H2 in ZIF-8
L Hertäg, H Bux, J Caro, C Chmelik, T Remsungnen, M Knauth, ...
Journal of Membrane Science 377 (1-2), 36-41, 2011
1752011
Amplifying the redistribution of somato-dendritic inhibition by the interplay of three interneuron types
L Hertäg, H Sprekeler
PLoS computational biology 15 (5), e1006999, 2019
522019
An approximation to the adaptive exponential integrate-and-fire neuron model allows fast and predictive fitting to physiological data
L Hertäg, J Hass, T Golovko, D Durstewitz
Frontiers in computational neuroscience 6, 62, 2012
492012
Learning prediction error neurons in a canonical interneuron circuit
L Hertäg, H Sprekeler
eLife 9, e57541, 2020
482020
Analytical approximations of the firing rate of an adaptive exponential integrate-and-fire neuron in the presence of synaptic noise
L Hertäg, D Durstewitz, N Brunel
Frontiers in computational neuroscience 8, 116, 2014
432014
Prediction-error neurons in circuits with multiple neuron types: Formation, refinement, and functional implications
L Hertäg, C Clopath
Proceedings of the National Academy of Sciences 119 (13), e2115699119, 2022
292022
A Detailed Data-Driven Network Model of Prefrontal Cortex Reproduces Key Features of In Vivo Activity
J Hass, L Hertäg, D Durstewitz
PLoS computational biology 12 (5), e1004930, 2016
272016
Stevens’ Handbook of Experimental Psychology and Cognitive Neuroscience
R van Bork, CD van Borkulo, LJ Waldorp, AOJ Cramer, D Borsboom
John Wiley & Sons, 2018
32018
An analytical approximation to the AdEx neuron model allows fast fitting to physiological data
L Hertäg, J Haß, T Golovko, D Durstewitz
BMC Neuroscience 12, 1-2, 2011
22011
Self-supervised predictive learning accounts for layer-specific cortical observations
KK Nejad, P Anastasiades, L Hertäg, RP Costa
bioRxiv, 2024
12024
A computational model of prefrontal cortex based on physiologically derived cellular parameter distributions
J Hass, L Hertäg, SC Quiroga Lombard, T Golovko, D Durstewitz
BMC Neuroscience 14, 1-2, 2013
12013
An analytical approximation to the AdEx neuron allows fast fitting to physiological data
L Hertäg, J Hass, T Golovko, D Durstewitz
Front. Comput. Neurosci. Conference Abstract: BC11: Computational …, 2011
12011
A theory of temporal self-supervised learning in neocortical layers
P Anastasiades, L Hertäg, RP Costa
2024
Layer-specific control of inhibition by NDNF interneurons
LB Naumann, L Hertäg, J Müller, JJ Letzkus, H Sprekeler
bioRxiv, 2024.04. 29.591728, 2024
2024
Knowing what you don’t know: Estimating the uncertainty of feedforward and feedback inputs with prediction-error circuits
L Hertäg, KA Wilmes, C Clopath
bioRxiv, 2023
2023
Transcriptomic correlates of state modulation in GABAergic interneurons: A cross-species analysis
J Keijser, L Hertäg, H Sprekeler
bioRxiv, 2023.12. 04.569849, 2023
2023
Neural Networks and Neurocomputational Modeling
H Toutounji, L Hertäg, D Durstewitz
Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience 5, 1-40, 2018
2018
Highly Data-driven Mathematical Description of Single Neuron and Recurrent Network Activity: Towards' high-throughput'Computational Neuroscience
L Hertäg
2014
Diffusion of CH₄ and H₂ in ZIF-8
L Hertäg, H Bux, J Caro, C Chmelik, T Remsungnen, M Knauth, ...
2011
A theory of temporal self-supervised learning in neocortical layers
KK Nejad, P Anastasiades, L Hertäg, RP Costa
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Articles 1–20