Andreas Lüthi

Nethobench: Forecasting design and conditioning shape the structural realism of generated neural dynamics

Nethobench evaluates neural forecasting models using structural metrics across multiple families, revealing how design choices affect model performance on mouse and human neural data.

Deleting learning-induced dendritic spines disrupts the memory they encode

The paper shows that deleting newly formed dendritic spines after learning disrupts memory formation, but not existing memories or new learning.

The geometry of appetitive-aversive value representations in medial prefrontal networks

This study disentangles valence and salience coding in the dmPFC of mice during appetitive/aversive tasks, revealing population-level value coding and orthogonal subspaces for opposite valences.

Heterogeneous plasticity of amygdala interneurons in associative learning and extinction

This study investigates the plasticity of amygdala interneurons during fear learning and extinction, revealing complex single-cell and population-level responses.

A common neuronal basis for Pavlovian and instrumental learning in amygdala circuits

This study shows that the basolateral amygdala encodes reward-anticipation information shared by Pavlovian and instrumental learning in mice.

Neural mechanisms of adaptive value coding in the amygdala

This study shows that the basolateral amygdala encodes stimulus-specific reward value representations that adapt to internal states and changing reward conditions in mice.

Bidirectional valence coding in amygdala intercalated clusters: A neural substrate for the opponent-process theory of motivation

The paper demonstrates that amygdala intercalated clusters encode positive and negative valence oppositely, supporting the opponent-process theory of motivation.

Multimodal mapping of cell types and projections in the central nucleus of the amygdala

This study maps cell types and axon projections in the central nucleus of the amygdala using single-cell RNA-sequencing and spatial techniques, revealing distinct molecular and connectivity patterns.

Optogenetic silencing of neurotransmitter release with a naturally occurring invertebrate rhodopsin

This paper introduces eOPN3, a modified mosquito rhodopsin that suppresses synaptic transmission with high spatiotemporal precision in vivo.

Adaptive disinhibitory gating by VIP interneurons permits associative learning

The paper shows VIP interneurons in the amygdala use adaptive disinhibitory gating to enable associative learning by distinguishing important from irrelevant information.

Amygdala neuronal ensembles dynamically encode behavioral states

The paper identifies how two populations of neurons in the amygdala encode behavioral states through calcium dynamics in freely moving mice.

Central Amygdala Circuits Modulate Food Consumption Through A Positive Valence Mechanism

This study identifies CeA Htr2a neurons as regulators of food consumption through positive valence mechanisms using in vivo activity manipulations and electrophysiology.