Línies de recerca

• The dynamics of evidence integration during decision making

  Directed by Jaime de la Rocha

  We study how information, acquired from sensation or from previous experiences, is transformed into decision variables that guide decision making. We design finely controlled behavioral tasks in rodents to examine how these computations are performed and which are the neural circuits involved. We combined behavioral testing with neural recordings, manipulation of brain activity and computational models that aim to implement the circuit mechanisms and explain the data. We are also interested in characterizing how those mechanisms are altered in some pathologies such as Schizophrenia or OCD.

• The neural circuitry of Working Memory (WM): memory interference and disease-mediated deficits

  Directed by Jaime de la Rocha

  We study how the brain maintains and uses information over short periods (working memory) using behavioral tasks in mice. We examine factors that limit accuracy, such as interference from past memories and timing effects. Combining large-scale automated experiments with neural recordings, we link behavior to brain activity. We also study how working memory is altered in disease models to better understand underlying mechanisms.  The research line is carried out in collaboration with Albert Compte (IDIBAPS)  and Josep Dalmau (ICREA/IDIBAPS).

• Midbrain circuitry mediating instrumental learning

  Directed by Hernando Martinez Vergara

  The Basal Ganglia (BG) are critical for learning, allowing vertebrates to adapt their behavior to maximize utility (reward, safety, efficiency…), and resulting in severe pathologies when affected in humans (e.g. Parkinson’s and Hungtington’s). In the lab, we investigate (using behavior, mouse models, optogenetics, and recording techniques) the mechanisms by which the outputs of the basal ganglia interact with downstream structures to shape behavior in order to achieve a better understanding of these neuronal circuits so we can develop effective therapies to prevent, revert, or counteract the effects of these diseases in the future.

• Development of open automated systems for finely-controlled animal behavioral experiments

  Directed by Hernando Martinez Vergara and Jaime de la Rocha

  With the support of the European Research Council Proof-of-Concept and a project Prueba de Concepto from the Agencia Estatal de Investigation we are currently developing open, automated systems that allow animals to train and perform behavioral tasks continuously with minimal human intervention. Our current platform, the Training Village, aims to make experiments more reliable, scalable, and accessible, while improving animal welfare. By combining flexibility, affordability, and ease of use, we enable researchers to study complex behavior over long periods with precise control and monitoring.