Balázs Hangya

This study shows that hippocampo-septal feedback inhibits the medial septal circuit based on hippocampal activity and movement speed, without being essential for theta rhythm generation.

This paper identifies a disinhibitory basal forebrain to cortex projection that regulates sustained attention by modulating cortical gain based on motivational salience.

The paper investigates how cholinergic and dopaminergic pathways interact in reward prediction-error signaling through optogenetic and chemogenetic experiments in mice.

This study uses a trial-based assay to show that Drosophila with Parkinson's-related genetic mutations exhibit altered reactivity to threatening stimuli, revealing potential insights into disease mechanisms.

The paper identifies that most ventral pallidal cholinergic neurons are bursting basal forebrain cholinergic neurons with specific connectivity to reinforcement circuits.

This study identifies a role for parvalbumin-expressing basal forebrain neurons in associative learning from negative experiences through calcium imaging and optogenetic experiments.

This study characterizes early-stage behavioral, neuronal, and ultrastructural changes in a graded-dose 6-OHDA mouse model of Parkinson's disease, showing dose-dependent motor deficits and dopaminergic neuron loss.

The paper identifies persistent post-stress activity of paraventricular thalamic neurons as critical for stress-induced maladaptive behavior and shows that inhibiting this activity can alleviate symptoms.

The paper demonstrates that medial septal pacemaker neurons synchronize their frequencies to generate hippocampal theta oscillations, akin to Huygens' pendulum synchronization.

This study shows that basal forebrain cholinergic neurons respond to probabilistic outcome-predicting stimuli based on a weighted, unsigned prediction error model, and their activation predicts behavioral responses.

This study identifies microglia as key regulators of cerebral blood flow and neurovascular coupling through P2Y12R-mediated mechanisms in mice and humans.

OPETH provides real-time visualization of neuronal spike times relative to external events, aiding in the identification of neuron types and behaviorally responsive populations during electrophysiology experiments.

This paper introduces a method to precisely localize deep brain implants in mice using micro-CT and MRI, enabling real-time assessment of implantation success.

Cholinergic basal forebrain neurons and cortical acetylcholine release encode an unsigned, valence-free reinforcement prediction error that tracks learning alongside dopamine via shared upstream circuits.

This paper introduces an automated system for training rodents in the 5-choice serial reaction time task, showing it improves learning speed and reduces stress compared to manual methods.

The paper identifies two distinct basal forebrain cholinergic neuron types with different firing patterns and behavioral roles in mice.

The paper presents open-source tools for temporally controlled rodent behavior experiments, enabling precise stimulus delivery and reinforcement timing for electrophysiology and optogenetics.

This paper defines statistical decision confidence as a Bayesian posterior probability and shows that lowest average confidence occurs when classifiers make errors with strong evidence.