NES: a free software to manage data from neuroscience experiments

Neuroscientists perform complex experiments aiming to reach a more effective understanding on the functioning of the brain and the treatment of pathologies. Each research laboratory uses different techniques and methodologies to produce and to analyze its findings. In this scenario, the Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat) has developed the Neuroscience Experiments System (NES), a free software to manage data from neuroscience experiments. This web-based system is meant to assist researchers in their data collecting routine throughout a neuroscience experiment, integrating data records from different types such as clinical, electrophysiological, and behavioral. Furthermore, it provides a unified repository (database) for the experimental data of an entire research laboratory, group, or project.

Electrophysiological Evidence That the Retrosplenial Cortex Displays a Strong and Specific Activation Phased with Hippocampal Theta during Paradoxical (REM) Sleep

Bruna Del Vechio Koike, Kelly Soares Farias, Francesca Billwiller, Daniel Almeida-Filho, Paul-Antoine Libourel, Alix Tiran-Cappello, Régis Parmentier, Wilfredo Blanco, Sidarta Ribeiro, Pierre-Herve Luppi and Claudio Marcos Queiroz

It is widely accepted that cortical neurons are similarly more activated during waking and paradoxical sleep (PS; aka REM) than during slow-wave sleep (SWS). However, we recently reported using Fos labeling that only a few limbic cortical structures including the retrosplenial cortex (RSC) and anterior cingulate cortex (ACA) contain a large number of neurons activated during PS hypersomnia. Our aim in the present study was to record local field potentials and unit activity from these two structures across all vigilance states in freely moving male rats to determine whether the RSC and the ACA are electrophysiologically specifically active during basal PS episodes. We found that theta power was significantly higher during PS than during active waking (aWK) similarly in the RSC and hippocampus (HPC) but not in ACA. Phase–amplitude coupling between HPC theta and gamma oscillations strongly and specifically increased in RSC during PS compared with aWK. It did not occur in ACA. Further, 68% and 43% of the units recorded in the RSC and ACA were significantly more active during PS than during aWK and SWS, respectively. In addition, neuronal discharge of RSC but not of ACA neurons increased just after the peak of hippocampal theta wave. Our results show for the first time that RSC neurons display enhanced spiking in synchrony with theta specifically during PS. We propose that activation of RSC neurons specifically during PS may play a role in the offline consolidation of spatial memories, and in the generation of vivid perceptual scenery during dreaming.

Vaga para trabalhar com Arquitetura e desenvolvimento de Jogos

O Centro de Pesquisa, Inovação e Difusão em Neuromatemática (NeuroMat) está oferecendo uma bolsa de treinamento técnico para profissionais interessados em aplicar seus conhecimentos de computação no desenvolvimento de pesquisa científica de alto nível. O bolsista irá interagir com pesquisadores da USP e demais cientistas e colaboradores do NeuroMat em atividades de desenvolvimento, adaptação, manutenção e instalação de software de suporte à pesquisa científica do centro.

Mathematics in brain study, "USP Analisa"

Mathematics does not always come down to calculations. It can help to understand even the functioning of the human brain. To explain how this is done and the challenges of Neuromathematics, the "USP Analisa" this week interviews the coordinator of RIDC NeuroMat and professor of the Institute of Mathematics and Statistics (IME) of USP, Antonio Galves, and also the professor of the Faculty of Philosophy, Arts and Sciences of Ribeirão Preto (FFCLRP) of USP, the NeuroMat PI Antonio Carlos Roque da Silva Filho. Rose Talamone, Jornal da USP, 07/12/2017. (In Portuguese)

Hawkes processes with variable length memory and an infinite number of components

Pierre Hodara and Eva Löcherbach

In this paper we propose a model for biological neural nets where the activity of the network is described by Hawkes processes having a variable length memory. The particularity in this paper is that we deal with an infinite number of components. We propose a graphical construction of the process and build, by means of a perfect simulation algorithm, a stationary version of the process. To implement this algorithm, we make use of a Kalikow-type decomposition technique. Two models are described in this paper. In the first model, we associate to each edge of the interaction graph a saturation threshold that controls the influence of a neuron on another. In the second model, we impose a structure on the interaction graph leading to a cascade of spike trains. Such structures, where neurons are divided into layers, can be found in the retina.

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O Centro de Pesquisa, Inovação e Difusão em Neuromatemática está sediado na Universidade de São Paulo e é financiado pela FAPESP (Fundação de Amparo à Pesquisa do Estado de São Paulo).

 

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