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Loreen Hertäg
Loreen Hertäg
Imperial College London
Bestätigte E-Mail-Adresse bei tu-berlin.de
Titel
Zitiert von
Zitiert von
Jahr
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
1672011
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
482012
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
472019
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
422014
Learning prediction error neurons in a canonical interneuron circuit
L Hertäg, H Sprekeler
eLife 9, e57541, 2020
392020
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
262016
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
232022
Stevens’ handbook of experimental psychology and cognitive neuroscience
R van Bork, CD van Borkulo, LJ Waldorp, AOJ Cramer, D Borsboom, ...
22018
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
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
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, ...
Journal of membrane science 377 (1), 2011
2011
S1 Appendix: Amplifying the redistribution of somato-dendritic inhibition by the interplay of three interneuron types
L Hertäg, H Sprekeler
Cellular Distributions for Cortical Network Models: A fast approach for in-vitro characterization and translation of single-cell data into simple neuron models
L Hertäg, J Hass, CSQ Lombard, T Golovko, D Durstewitz
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