Armin Lak

This study shows that the superior colliculus gates dopamine responses to conditioned stimuli in visual classical conditioning by developing neuronal responses to the CS and requiring convergence of visual, dopamine, and serotonin inputs.

This study shows that two-photon imaging at 920 nm during optogenetic stimulation increases opsin desensitization in C1V1-expressing neurons, affecting both targeted and non-targeted cells.

This study shows dopamine in the dorsal striatum encodes both sensory and reward prediction errors during perceptual decisions, with distinct but overlapping signals.

The paper identifies distinct spatial and projection-based encoding of economic variables in the frontal cortex of mice during decision-making tasks.

This study shows that dopamine signals in the striatum reflect long-term learning strategies in mice, with a deep neural network model capturing these dynamics through reinforcement learning.

This paper introduces a hierarchical adaptive optics strategy to improve three-photon imaging in the mouse brain during behavior by correcting optical aberrations at multiple levels.

The paper identifies orexin-sensitive layer 6 neurons in the prefrontal cortex that regulate cortical excitability and anxiety behaviour.

This study shows that cholinergic interneurons in the striatum use nicotinic receptors to limit dopamine release by depressing axonal depolarization and calcium summation.

The paper shows that policy complexity suppresses dopamine responses to reward outcomes, reducing behavioral sensitivity to these outcomes.

The paper shows that reward expectations during goal-directed reaching are encoded in distributed neural population dynamics across brain regions.

The paper shows mice adapt perceptual choice history biases to different temporal regularities, supported by a reinforcement learning model and striatal dopamine signals.

The paper proposes a model linking dopamine signaling to uncertainty-driven exploration in reinforcement learning, showing improved performance in simulations and behavioral data.

The paper shows that MOs neurons in mice encode task variables nonlinearly, particularly during decision-making, allowing linear decoding of behavior even in the absence of direct sensory input.

The paper proposes a temporal difference model that explains how dopamine neurons encode different reward dimensions and adapts behavior based on physiological needs.

The paper investigates how dopamine axons in different striatal regions encode sensory stimuli and actions during decision-making tasks in mice.

This study shows that midbrain dopamine neurons provide teaching signals for goal-directed navigation by encoding reward prediction errors and ramping activity that improve navigation performance.

This study investigates how mice integrate sensory confidence and reward value in decision-making and learning, revealing distinct roles for frontal and dopamine neurons.

The paper analyzes cortical spiking dynamics across fast and infraslow timescales in mice, revealing distinct coupling patterns between individual neurons and population activity.

This paper introduces high-yield methods for two-alternative visual psychophysics in head-fixed mice, showing rapid learning and accurate psychometric curves.