This week, "Agência FAPESP" website featured an article about the RIDC NeuroMat series of online seminars on mathematics and neurobiology, NeuroMat/NeuroMod webinars 2020 - mathematics and neurobiology intertwined.
The webinars are part of a partnership with theInstitute for Modeling in Neuroscience and Cognition of Université Côte d'Azur (NeuroMod), France. The virtual meetings will take place every two weeks, from April 16 to June 25, 2020, via Google Meet at meet.google.com/xdz-rqup-dze.
Last month, Open Knowledge Foundation featured an article about the Neuroscience Experiments System Frictionless Tool, also known as NES, a tool developed by the Technology Transfer team of RIDC NeuroMat.
This week "Agência FAPESP" website featured an article about the new RIDC NeuroMat podcast, specially addressing the publication of the second episode of the program. The aim of the podcast is to spread the research developed by NeuroMat, at the interface between neurobiology and mathematics.
The program addresses three main themes: the neuronal spiking systems model developed by the CEPID NeuroMat team; the statistical framework needed to rigorously address the “statistical brain” conjecture; and the processes of construction and production of the state-of-the science in Brazil right now.
This month on "Jornal da USP" website, there was a report about the NeuroMat podcast, "A Matemática do Cérebro", developed by the NeuroMat Dissemination Team and by Antonio Galves, NeuroMat coordinator, and Eduardo Vicente, professor from the Department of Film, Radio and TV (CTR) of ECA/USP.
The article covered the first two episodes of the podcast. It also talked about CEPID NeuroMat's work and how the epidodes were created to talk about the research developed at the center, with the interface between neurobiology and mathematics.
The Fellows Programme is part of the Frictionless Data for Reproducible Research project at Open Knowledge Foundation, a global, non-profit network that promotes and shares information at no charge, including both content and data. This project, funded by the Sloan Foundation, applies to work in Frictionless Data to data-driven research disciplines, in order to facilitate data workflows in research contexts. During the first half of 2019, Neuroscience Experiments System (NES) was selected to be a funded project of Frictionless Data. As you may know, NES is an open-source tool being developed that aims to assist neuroscience research laboratories in routine procedures for data collection. NES was developed to store a large amount of data in a structured way, allowing researchers to seek and share data and metadata of neuroscience experiments. To the best of our knowledge, there are no open-source software tools which provide a way to record data and metadata involved in all steps of an electrophysiological experiment and also register experimental data and its fundamental provenance information. With the anonymization of sensitive information, the data collected using NES can be publicly available through the NeuroMat Open Database, which allows any researcher to reproduce the experiment or simply use the data in a different study.
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