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Universidade de São Paulo (USP). Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto (FFCLRP) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Antonio C. Roque (name used in scientific publications) was born in São Paulo, Brazil, in 1963. He holds a Bachelor's (1985) and a Master's degree (1987) in Physics from UNICAMP, and a Ph.D. (1992) in Computer Science and Artificial Intelligence from the University of Sussex, United Kingdom. He is an Associate Professor (MS-5) in the Department of Physics at the School of Philosophy, Sciences and Letters of Ribeirão Preto, University of São Paulo (FFCLRP-USP), where he founded and coordinates the Neural Systems Laboratory (SisNe). His research focuses on computational neuroscience, particularly on biologically plausible models of neurons, astrocytes, and their interactive networks. He has also worked on modeling animal behavior, complex networks, and medical decision-support systems. He is actively involved in training new researchers, supervising undergraduate research projects, masters and doctoral theses, and postdoctoral work in the graduate programs of Physics Applied to Medicine and Biology and Applied Computing at USP. He is the founder and director of the Latin American School on Computational Neuroscience (LASCON), an international school that, for over two decades, has provided hands-on training in computational neuroscience to graduate students and researchers. He coordinates and participates in several research projects funded by national and international agencies and is currently a principal investigator and Coordinator of Innovation and Technology Transfer at the FAPESP-funded Research, Innovation, and Dissemination Center for Neuromathematics (CEPID NeuroMat). He has served on the boards of the Organization for Computational Neurosciences (OCNS) and the Brazilian Society for Neuroscience and Behavior (SBNeC), and is currently an active member of the Society for Neuroscience (USA), OCNS, SBNeC, and the Brazilian Society of Biomedical Engineering (SBEB). (Source: Lattes Curriculum)
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| Learning to tell time |
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O programa da LASCON 2026 está estruturado em duas partes principais. A primeira parte é dedicada a ferramentas e métodos fundamentais para a modelagem de neurônios e redes neuronais, bem como à análise de sinais neurobiológicos, enquanto a segunda parte explora aplicações em diversos sistemas e temas da neurociência, abordando desafios atuais da área. Os cursos da primeira parte combinam…
O objetivo da LASCON é fornecer a estudantes de pós-graduação, pós-docs e jovens pesquisadores uma introdução a métodos matemáticos e computacionais para modelagem e análise de neurônios e redes de neurônios. Esses métodos serão ilustrados com o uso dos programas NEURON, NetPyNE, NEST, MATLAB, XPPAUTO, Brian, Elephant e Virtual Brain, de ampla utilização pela comunidade científica interna…
O objetivo da LASCON é fornecer a estudantes de pós-graduação, pós-docs e jovens pesquisadores uma introdução a métodos computacionais para modelagem e análise de neurônios e redes neuronais. Esses métodos serão ilustrados com o uso dos programas neuroConstruct, NEURON, NEST, MATLAB, XPPAUTO, Brian e Virtual Brain, de ampla utilização pela comunidade científica internacional. O corpo doce…
(Only some records are available in English at this moment)
Parkinson's Disease (PD) is a neurodegenerative disorder characterized by motor symptoms and exaggerated beta-band oscillatory activity in the thalamo-cortico-basal (TCB) circuit. Transcranial Magnetic Stimulation (TMS) is a promising non-invasive technique for the treatment of PD, however, the neurobiological mechanisms underlying its therapeutic effects and the optimization of its proto…
The working memory is a cognitive function characterized by the temporary maintenance of information to perform a task. This function is extremely important for everyday tasks. In general, during working memory tests the subject must temporarily maintain an information and then use it to perform the task. Oscillatory activity in prefrontal cortex (PFC), dopaminergic transmission and astro…
The prefrontal cortex (PFC) is considered to be one of the most studied brain regions in recent years, being related to important executive phenomena such as decision-making, conscious perception and working memory. However, there are still few initiatives that aim to integrate the growing amount of experimental data into a coherent computational model capable of reproducing in vivo behav…
Parkinson's disease is a common chronic neurodegenerative disorder that involves various motor and non-motor brain pathways. The central pathology underlying Parkinson's disease is the degeneration of dopaminergic neurons in the basal ganglia, leading to decreased dopamine levels in the body. The reduction in dopamine is associated with the pathological dynamics of the neuronal network re…
O bolsista trabalhará no desenvolvimento, customização, manutenção e implantação das ferramentas de software do projeto em suas várias linhas de pesquisa. O bolsista irá interagir com os pesquisadores e estudantes do projeto e ficará responsável por auxiliar na transformação dos resultados científicos desenvolvidos pelo projeto em sistemas e ferramentas computacionais para coleta, gerenc…
(Only some records are available in English at this moment)
The prefrontal cortex (PFC) is a central area of study in modern neuroscience due to the important role it plays in higher-order phenomena, like working memory and transitions between states of consciousness. However, there is still much to be understood regarding the basic mechanisms underlying the dynamics of the PFC. In this regard, computational neuroscience has been offering insights…
Astrocytes have gained attention in recent years by their role in cognitive and brain functions. Astrocytes respond to neurotransmitters released by neurons, such as glutamate anddopamine, increasing their intracellular Ca2+ concentration. The mechanisms that generate the Ca2+ responses are dependent on the cell morphology and biophysical parameters. Previous computational models that sim…
My subject of research is the mathematical modeling and statistical analysis of biological neuronal networks. The framework for this study is the class of systems of spiking neurons introduced in discrete time by Galves and Löcherbach (2013) and in continuous time by De Masi et al. (2014). The models of this class are systems of interacting point processes with memory of variable length. …
Neurons respond to external stimuli and represent these responses as sequences of action potentials. If we consider that the information is being encoded on spike trains, a natural question that arises is: how much information about a given stimuli the spike train can convey? Similarly, what aspects of the stimuli are encoded by the neural response? Recordings of working memory undoubtedl…
(Only some records are available in English at this moment)