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-Algoritmos para Redução de Modelos e Simulação Eficiente de Redes Neuronais (IE02041) (Project Link)
Acronym: NeuronReduce
Luis Miguel Teixeira D Avila Pinto da Silveira
From 01-Oct-2018 to 10-Sep-2021
Prime Contractor: INESC-ID (Other)
Financed by: FCT (Other)
Partnerships: INESC-ID (Other)
Members: Luis Miguel Teixeira D Avila Pinto da Silveira, Arlindo Manuel Limede de Oliveira


The Neuron Reduce project is an effort to develop algorithms that will enable more efficient simulation of biological neural networks, allowing for the analysis of more complex systems and providing more insight into how the brain functions. The project aims to develop techniques for compressing models of neurons and neuronal networks
in order to increase both capacity as well as efficiency of simulation, making it possible to simulate much larger networks of neurons than is possible today. The project relies on expertise on electrical simulation and model reduction, gathered over the course of the last decades, leading to the development of new algorithms and techniques that have met with considerable success in many fields, allowing for the generation of compact models for systems with millions of internal dynamics. Bringing this expertise into the field of neuroscience opens intriguing new possibilities for improvements in simulation of biologically-inspired neuronal networks.