Laboratory of Systems and Behavioral Neuroscience

The Molas Lab is dedicated to uncovering the neural circuits and mechanisms that drive behavioral response to novel stimuli and shape adaptive learning through repeated experiences.

Our research employs a multidisciplinary approach, integrating advanced techniques such as circuit mapping, genetic tools for neuronal ensemble tagging, singe cell gene expression analysis, imaging, optogenetics, chemogenetics and machine learning tools for animal behavior annotation to provide deeper insights into brain function and behavior.

Multidisciplinary and Integrative Approach

Behavioral Annotation

We use supervised and unsupervised machine learning models for multi-pose animal estimation and behavioral classification.

Imaging Tools

We combine in vivo fiber photometry recordings and single-cell imaging time locked to behavioral events.

Neuronal Ensemble Tagging

We have established mouse models and genetic tools for neuronal ensemble tagging with effector genes, enabling the analysis of regional activation patterns through whole brain imaging.

Molecular Biology

We combine in situ RNA Scope, immunofluorescence and single cell spatial transcriptomics techniques to elucidate gene transcription patterns in selected neuronal populations.

Circuit Mapping

Through viral-mediated anterograde and retrograde tracing we define neuronal circuitry of selectively identified genetic populations.

Activity Manipulations

We use time-locked optogenetics and chemogenetics tools (DREADDs) to manipulate activity of genetically identified circuits and establish their role in behavioral domains.

Disease Models

Our research includes a translational perspective to elucidate neural circuit function in disease conditions.

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