Integrated Neurocomputational and Empirical Studies of Learning and Cognition
Tiago V. Maia,
Departamento de Engenharia Informática –
My program of research focuses on the integrated use of neurocomputational models and empirical techniques – most notably brain imaging – to investigate the neural bases of learning and cognition in healthy subjects and the disruption of these processes in psychiatric disorders. This talk will present three examples in which this integrated approach has been crucial to arrive at novel insights that would be out of reach for more classical approaches. In the first example, I will use a standard reinforcement-learning model to show that learning to avoid negative outcomes depends on an internally generated reward signal. The firing of dopamine neurons in the brain represents reward signals, so this model made new predictions concerning patterns of dopamine release during avoidance learning that we have confirmed experimentally. In the second example, we have used model-based functional magnetic resonance imaging (fMRI) – a technique that fits a computational model to behavior and fMRI data – to identify the neural substrates of habit learning in humans. We found that learning a habit depends on the engagement of a specific brain region; in fact, we were able to distinguish participants who learned the habit from those who did not based on whether or not they engaged this region. In the third and final example, using a neurocomputational model in which we manipulated neurotransmitter levels, we found that reduced levels of a specific neurotransmitter produce the behavioral deficits that characterize attention-deficit/hyperactivity disorder (a disorder characterized by inattention, hyperactivity, and impulsivity). The model made several new predictions concerning abnormal patterns of brain connectivity in patients with this disorder, which we have confirmed using fMRI. These examples illustrate the power of using neurocomputational models in tight integration with empirical techniques to advance our understanding of the neural bases of high-level cognitive processes in healthy subjects and to elucidate how these processes go awry in psychiatric disorders.
Date: 2012-Jun-29 Time: 11:00:00 Room: 04
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Workshop “Metabolism and mathematical models: Two for a tango” – 2nd Edition
Title: Workshop Metabolism and mathematical models: Two for a tango – 2nd Edition
Dates: October 25-26, 2022
Location: This workshop will be held in a virtual way
The topic of this workshop is metabolism in general, with a special focus, although not exclusive, on parasitology. Besides an exploration of the biological, biochemical and biomedical aspects, the workshop will also aim at presenting some of the mathematical modelling, algorithmic theory and software development that have become crucial to explore such aspects.
This workshop is being organised in the context of two projects, both with the Inria European Team Erable. One of the projects involves a partnership with the University of São Paulo (USP), in São Paulo, Brazil, more specifically the Institute of Mathematics and Statistics (IME) and the Institute of Biomedical Sciences – Inria Associated Team Capoeira – and the other involves the Inesc-ID/IST in Portugal, ETH in Zürich and EMBL in Heidelberg – H2020 Twinning Project Olissipo.
The workshop is open to all members of these two projects but also, importantly, to the community in general.
The program and more details are available here.