Jessica Ann Diaz
- Position: Research Fellow in Computational Neuroimaging of Decision-Making
- Areas of expertise: EEG; Computational Neuroscience; Neural and Behaviour Data Science; Perceptual Learning; Decision Making; Multisensory Integration; Cognitive Development & ‘Dyscalculia’.
- Email: J.Diaz@leeds.ac.uk
- Location: 5.68 Gaston
- Website: Twitter | LinkedIn | Googlescholar | Researchgate
I received Licenciatura in Psychology from the Autonomous University of Madrid (2010) and a Masters in Clinical Psychology from the same University (2011). Then I did a MSc in Brain Imaging and Cognitive Neuroscience at the University of Nottingham (2013). This was followed by a Ph.D. in Computational Neuroscience and Psychology from the Institute of Neuroscience and Psychology at the University of Glasgow (2018). After completing my Ph.D., I worked as a HPL and researcher on an independent project at Nottingham Trent University (2018). I have continued working with them as a collaborator. Also, I am currently an external collaborator with Dr. Marios Philiastides at the Institute of Neuroscience & Psychology at the University of Glasgow.
Since October 2019, I have been working as a Post-Doctoral Researcher Fellow in Computational Neuroscience at the School of Biomedical Sciences of the University of Leeds. I am working with Dr. Ioannis Delis at his lab at the Sport & Exercise Sciences and Neuroscience research group.
My general research interests are in cognitive neuroscience, with a particular focus on human perceptual learning and neural plasticity, decision making, and cognitive development. I also have an interest in how the brain processes numerical information and how this could link to dyscalculia. For this, I am using EEG, multisensory experiments, and computational modelling. The main objective of this work is to develop a theoretical and experimental framework for the study of the neural signatures of human decision making, especially in the context of perceptual learning and cognitive development. In particular, I use the theoretical framework of sequential sampling models and the experimental paradigm of measuring temporal EEG components. This approach can provide an effective and comprehensive means to address open questions with respect to human perceptual and cognition over the lifespan like:
- 1. What are the neural signatures of the role of prior expectations in perceptual learning in decision making?
- 2. How does the human brain develop mathematical abilities and what is its neural basis? Is the Approximate Number System (ANS) be one of the cognitive basis of numerical ability?
- 3. How does multisensory integration change over the lifespan? How do the temporal dynamics of perceptual learning and decision making change from childhood to adulthood?.<h4>Research projects</h4> <p>Any research projects I'm currently working on will be listed below. Our list of all <a href="https://biologicalsciences.leeds.ac.uk/dir/research-projects">research projects</a> allows you to view and search the full list of projects in the faculty.</p>
- PhD. Cognitive Neuroscience and Psychology
- MSc in Brain Imaging and Cognitive Neuroscience (Distinction)
- Master Clinical Psychology (1st class)
- Licenciatura (BSc&MSc) Psychology (1st class)
I have delivered the lecture The role of sensory information in the module Motor Control: Foundations of Control and Learning in the Sport and Exercise Science program at the University of Leeds.
I also have taught how to use R and how to do experiments using OpenSesame to undergraduate in Psychology at Nottingham Trent University.