User profiles for Loreen Hertäg
 | Loreen HertägImperial College London Verified email at tu-berlin.de Cited by 414 |
Prediction-error neurons in circuits with multiple neuron types: Formation, refinement, and functional implications
Predictable sensory stimuli do not evoke significant responses in a subset of cortical
excitatory neurons. Some of those neurons, however, change their activity upon mismatches …
excitatory neurons. Some of those neurons, however, change their activity upon mismatches …
[HTML][HTML] Amplifying the redistribution of somato-dendritic inhibition by the interplay of three interneuron types
L Hertäg, H Sprekeler - PLoS computational biology, 2019 - journals.plos.org
GABAergic interneurons play an important role in shaping the activity of excitatory pyramidal
cells (PCs). How the various inhibitory cell types contribute to neuronal information …
cells (PCs). How the various inhibitory cell types contribute to neuronal information …
Diffusion of CH4 and H2 in ZIF-8
Initiated by separation factors of up to 15 between CH 4 and H 2 found in experiments of gas
mixture permeation through a newly developed ZIF-8 membrane the diffusion of CH 4 and …
mixture permeation through a newly developed ZIF-8 membrane the diffusion of CH 4 and …
Learning prediction error neurons in a canonical interneuron circuit
L Hertäg, H Sprekeler - Elife, 2020 - elifesciences.org
Sensory systems constantly compare external sensory information with internally generated
predictions. While neural hallmarks of prediction errors have been found throughout the …
predictions. While neural hallmarks of prediction errors have been found throughout the …
[HTML][HTML] An approximation to the adaptive exponential integrate-and-fire neuron model allows fast and predictive fitting to physiological data
For large-scale network simulations, it is often desirable to have computationally tractable,
yet in a defined sense still physiologically valid neuron models. In particular, these models …
yet in a defined sense still physiologically valid neuron models. In particular, these models …
[HTML][HTML] Analytical approximations of the firing rate of an adaptive exponential integrate-and-fire neuron in the presence of synaptic noise
Computational models offer a unique tool for understanding the network-dynamical
mechanisms which mediate between physiological and biophysical properties, and behavioral …
mechanisms which mediate between physiological and biophysical properties, and behavioral …
[HTML][HTML] A Detailed Data-Driven Network Model of Prefrontal Cortex Reproduces Key Features of In Vivo Activity
The prefrontal cortex is centrally involved in a wide range of cognitive functions and their
impairment in psychiatric disorders. Yet, the computational principles that govern the dynamics …
impairment in psychiatric disorders. Yet, the computational principles that govern the dynamics …
Transcriptomic correlates of state modulation in GABAergic interneurons: A cross-species analysis
GABAergic inhibitory interneurons comprise many subtypes that differ in their molecular,
anatomical and functional properties. In mouse visual cortex, they also differ in their modulation …
anatomical and functional properties. In mouse visual cortex, they also differ in their modulation …
Prediction-error neurons in circuits with multiple neuron types: Formation, refinement and functional implications
Predictable sensory stimuli do not evoke significant responses in a subset of cortical
excitatory neurons. Some of those neurons, however, change their activity upon mismatches …
excitatory neurons. Some of those neurons, however, change their activity upon mismatches …
An analytical approximation to the AdEx neuron model allows fast fitting to physiological data
Fitting spiking neuron models to physiological data sets is often a tedious, time-consuming
business involving several ad-hoc assumptions. At one end of the spectrum, biophysically …
business involving several ad-hoc assumptions. At one end of the spectrum, biophysically …