Alfonso Renart

Alfonso Renart is a Principal Investigator at the Champalimaud Foundation's Centre for the Unknown in Lisbon, Portugal. He leads the Renart Lab, which focuses on understanding the computational processes underlying decision-making and goal-directed behavior through rigorous quantitative investigation of neural mechanisms.

Dr. Renart's research employs a multidisciplinary approach combining behavioral analysis, theoretical modeling, electrophysiological recordings, and optogenetic techniques. His lab primarily works with rodent models (rats and mice) to study how external influences and internal processes interact during decision specification. The research sits at the intersection of neuroscience, psychology, and computational modeling, with particular emphasis on teasing apart causal relationships in cognitive processes.

Analysis of Dr. Renart's recent publications reveals several key research trajectories. A major theme involves investigating how spontaneous cortical state fluctuations influence perceptual decisions, with findings showing that response outcomes can gate these effects. Another significant contribution relates to neural recording technology, particularly the development and application of Neuropixels 2.0 for high-density, long-term brain recordings. His work also explores fundamental principles like the mechanistic foundation of Weber's law and the state-dependent geometry of population activity in sensory cortical areas.

Dr. Renart has mentored numerous graduate students and postdoctoral researchers. His lab includes PhD students from various programs (INDP, INCDP, INPDP) as well as Master's students. Current lab members comprise postdoctoral researchers, research technicians, and students working on diverse projects related to decision neuroscience, reflecting his commitment to training the next generation of neuroscientists.

The lab operates within the Champalimaud Centre for the Unknown, a research institution dedicated to advancing knowledge in neuroscience and oncology. Dr. Renart's work has been supported by significant funding sources including NIH grants (R01 DC005787, R01 MH073245), enabling his team to pursue innovative research at the cutting edge of systems and computational neuroscience.