Proceedings of Materials for Sustainable Development Conference (MAT-SUS) (NFM22)
DOI: https://doi.org/10.29363/nanoge.nfm.2022.140
Publication date: 11th July 2022
To truly understand how the brain processes sensory information into decisions on actions to take, one needs mappings between measurable quantities to the elementary units of computation. While much is measurable, there is also much debate about what constitutes the elementary unit of computation in the brain: artificial neural networks represent only one such abstract mapping and imply fundamental choices on neural coding and functioning. Trained and large-scale ANNs also map to certain aspects of brain functioning. Still, data from experimental neuroscience is strongly suggesting that the ANN abstraction is too simple and omits important computational principles of real neuronal processing, such as the spiking nature of neural communication and the diversity and function of neuronal morphology. To investigate these computational principles, we need to be able to train large and complex networks of spiking neurons for specific tasks. In this talk, I will show how effective online learning rules enable the supervised training of large-scale networks of detailed spiking neuronal models, and how these models can be integrated with brain-derived decision-making circuits to operate continuously. As I will argue, this approach opens up the investigation of both network and neuronal architectures based on functional principles rather than imputed connectivity patterns.
nanoGe is a prestigious brand of successful science conferences that are developed along the year in different areas of the world since 2009. Our worldwide conferences cover cutting-edge materials topics like perovskite solar cells, photovoltaics, optoelectronics, solar fuel conversion, surface science, catalysis and two-dimensional materials, among many others.
Previously nanoGe Spring Meeting (NSM) and nanoGe Fall Meeting (NFM), MATSUS is a multiple symposia conference focused on a broad set of topics of advanced materials preparation, their fundamental properties, and their applications, in fields such as renewable energy, photovoltaics, lighting, semiconductor quantum dots, 2-D materials synthesis, charge carriers dynamics, microscopy and spectroscopy semiconductors fundamentals, etc.
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International Conference on Hybrid and Organic Photovoltaics (HOPV) is celebrated yearly in May. The main topics are the development, function and modeling of materials and devices for hybrid and organic solar cells. The field is now dominated by perovskite solar cells but also other hybrid technologies, as organic solar cells, quantum dot solar cells, and dye-sensitized solar cells and their integration into devices for photoelectrochemical solar fuel production.
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The main topics of the Asia-Pacific International Conference on Perovskite, Organic Photovoltaics and Optoelectronics (IPEROP) are discussed every year in Asia-Pacific for gathering the recent advances in the fields of material preparation, modeling and fabrication of perovskite and hybrid and organic materials. Photovoltaic devices are analyzed from fundamental physics and materials properties to a broad set of applications. The conference also covers the developments of perovskite optoelectronics, including light-emitting diodes, lasers, optical devices, nanophotonics, nonlinear optical properties, colloidal nanostructures, photophysics and light-matter coupling.
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