Rate Professor Marta Garrido

Professional Summary: Professor Marta Garrido

Professor Marta Garrido is a distinguished academic and researcher at the University of Melbourne, Australia, with a focus on cognitive neuroscience and computational modeling. Her work bridges experimental and theoretical approaches to understanding brain function, particularly in the context of perception, learning, and decision-making. Below is a detailed overview of her academic journey, research contributions, and professional impact.

Academic Background and Degrees

Professor Garrido has a robust educational foundation in neuroscience and related fields, with degrees from esteemed institutions:

• PhD in Neuroscience, University College London (UCL), UK (completed circa 2008)
• MSc in Cognitive Neuroscience, University College London (UCL), UK
• BSc in Physics, University of Lisbon, Portugal

Research Specializations and Academic Interests

Professor Garrido's research primarily focuses on how the brain processes sensory information and adapts to environmental changes through predictive coding and Bayesian inference. Her key areas of interest include:

• Cognitive neuroscience
• Computational modeling of brain function
• Predictive coding and perception
• Neuroimaging techniques (EEG, MEG, fMRI)
• Learning and decision-making under uncertainty

Career History and Appointments

Professor Garrido has held several prestigious positions across leading institutions, reflecting her growing influence in the field of neuroscience:

• Associate Professor, School of Psychological Sciences, University of Melbourne, Australia (current position)
• Group Leader, Cognitive Neuroscience and Computational Psychiatry, Melbourne School of Psychological Sciences
• Senior Research Fellow, Queensland Brain Institute, University of Queensland, Australia (prior to Melbourne)
• Postdoctoral Research Fellow, University College London (UCL), UK

Major Awards, Fellowships, and Honors

Professor Garrido has been recognized for her contributions to neuroscience with several notable awards and fellowships:

• ARC Future Fellowship, Australian Research Council (2016–2020)
• Early Career Research Award, University of Queensland (circa 2015)

Key Publications

Professor Garrido has authored numerous impactful papers in high-profile journals. Below is a selection of her key works (titles and years based on publicly available records):

• Garrido, M. I., Kilner, J. M., Stephan, K. E., & Friston, K. J. (2009). 'The mismatch negativity: A review of underlying mechanisms.' Clinical Neurophysiology.
• Garrido, M. I., Friston, K. J., Dolan, R. J., & Kilner, J. M. (2008). 'Repetition suppression and plasticity in the human brain.' NeuroImage.
• Garrido, M. I., Sahani, M., & Dolan, R. J. (2013). 'Evidence for dissociable representations of sensory and motor components of auditory mismatch responses.' Journal of Neuroscience.

Her publications have been widely cited, contributing to advancements in predictive coding theories and neuroimaging methodologies.

Influence and Impact on Academic Field

Professor Garrido’s research has significantly influenced the field of cognitive neuroscience, particularly through her contributions to predictive coding frameworks. Her work on how the brain uses prior expectations to interpret sensory input has provided critical insights into perceptual anomalies in conditions like schizophrenia. Her interdisciplinary approach, combining experimental data with computational models, has inspired new methodologies in studying brain dynamics. She is a respected mentor, guiding students and early-career researchers in the field.

Public Lectures, Committee Roles, and Editorial Contributions

Professor Garrido actively engages with the academic community through various roles and public-facing activities:

• Regular speaker at international neuroscience conferences, including events hosted by the Society for Neuroscience
• Member of editorial boards for journals in cognitive neuroscience (specific journals not publicly specified in available data)
• Contributor to peer review processes for leading journals in her field