Pynapple, a toolbox for data analysis in neuroscience.

Datasets collected in neuroscientific studies are of ever-growing complexity, often combining high-dimensional time series data from multiple data acquisition modalities. Handling and manipulating these various data streams in an adequate programming environment is crucial to ensure reliable analysis, and to facilitate sharing of reproducible analysis pipelines. Here, we present Pynapple, the PYthon Neural Analysis Package, a lightweight python package designed to process a broad range of time-resolved data in systems neuroscience.

Precise coupling of the thalamic head-direction system to hippocampal ripples.

The anterior thalamus is a key relay of neuronal signals within the limbic system. During sleep, the occurrence of hippocampal sharp wave-ripples (SWRs), believed to mediate consolidation of explicit memories, is modulated by thalamocortical network activity, yet how information is routed around SWRs and how this communication depends on neuronal dynamics remains unclear. Here, by simultaneously recording ensembles of neurons in the anterior thalamus and local field potentials in the CA1 area of the hippocampus, we show that the head-direction (HD) cells of the anterodorsal nucleus are set in stable directions immediately before SWRs.

Author Correction: A hippocampo-cerebellar centred network for the learning and execution of sequence-based navigation.

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

Thalamocortical processing of the head-direction sense.

Our thoughts and sensations are examples of cognitive processes that emerge from the collective activity of billions of neurons in the brain. Thalamocortical circuits form the canonical building-blocks of the brain networks supporting the most complex cognitive functions. How these neurons communicate and interact has been the focus of extensive research in "classical" sensory systems.

Brain-state invariant thalamo-cortical coordination revealed by non-linear encoders.

Understanding how neurons cooperate to integrate sensory inputs and guide behavior is a fundamental problem in neuroscience. A large body of methods have been developed to study neuronal firing at the single cell and population levels, generally seeking interpretability as well as predictivity. However, these methods are usually confronted with the lack of ground-truth necessary to validate the approach.

A hippocampo-cerebellar centred network for the learning and execution of sequence-based navigation.

How do we translate self-motion into goal-directed actions? Here we investigate the cognitive architecture underlying self-motion processing during exploration and goal-directed behaviour. The task, performed in an environment with limited and ambiguous external landmarks, constrained mice to use self-motion based information for sequence-based navigation. The post-behavioural analysis combined brain network characterization based on c-Fos imaging and graph theory analysis as well as computational modelling of the learning process.

Sustainable computational science: the ReScience initiative.

Computer science offers a large set of tools for prototyping, writing, running, testing, validating, sharing and reproducing results; however, computational science lags behind. In the best case, authors may provide their source code as a compressed archive and they may feel confident their research is reproducible. But this is not exactly true.

Adaptive coordination of working-memory and reinforcement learning in non-human primates performing a trial-and-error problem solving task.

Accumulating evidence suggest that human behavior in trial-and-error learning tasks based on decisions between discrete actions may involve a combination of reinforcement learning (RL) and working-memory (WM). While the understanding of brain activity at stake in this type of tasks often involve the comparison with non-human primate neurophysiological results, it is not clear whether monkeys use similar combined RL and WM processes to solve these tasks. Here we analyzed the behavior of five monkeys with computational models combining RL and WM.

Modeling choice and reaction time during arbitrary visuomotor learning through the coordination of adaptive working memory and reinforcement learning.

Current learning theory provides a comprehensive description of how humans and other animals learn, and places behavioral flexibility and automaticity at heart of adaptive behaviors. However, the computations supporting the interactions between goal-directed and habitual decision-making systems are still poorly understood. Previous functional magnetic resonance imaging (fMRI) results suggest that the brain hosts complementary computations that may differentially support goal-directed and habitual processes in the form of a dynamical interplay rather than a serial recruitment of strategies.

Bordetella bronchiseptica pleural infection in a patient with AIDS.

Bordetella bronchiseptica is an important veterinary pathogen but a rare cause of opportunistic respiratory tract infection in humans. We describe a case of pleural effusion caused by B. bronchiseptica in a patient with AIDS who was coinfected with Mycobacterium tuberculosis.

Fatal pulmonary Nocardia farcinica infection.

Nocardia farcinica infections are rare and potentially life threatening. Identification is based on growth at 45 degreesC, opacification of Middlebrook 7H10 agar, and resistance to antibiotics. We describe a case of fatal pulmonary N.

Campylobacter fetus subspecies fetus bacteremia associated with chorioamnionitis and intact fetal membranes.

Campylobacter fetus subspecies fetus was isolated from the blood of a patient with chorioamnionitis and intact fetal membranes. The mother improved after appropriate antibiotic treatment, but the infant died of neonatal infection a few minutes after delivery. This is a very unusual etiology of intra-amniotic infection.

Serological markers of hepatitis A, B and C in first year student nurses.

Objective: To know the prevalence of serological markers of hepatitis A, B and C virus in first year student nurses.

Setting: A transversal study of prevalence.

Subjects And Methods: 81 first year student nurses, mean age 20.

[Diagnosis of meningoencephalitis caused by herpes simplex virus type 1 using nested PCR in CSF samples].

Background: The aim of this study was to achieve the early diagnosis of the neurologic alteration caused by the Herpes Simplex virus type 1 (HSV-1) with the nested PCR technique in CSF.

Patients And Methods: From January, 1994 to October, 1995, 140 CSF from 140 patients were studied in our laboratory. Ninety-five were diagnosed with viral meningoencephalitis (Group A) and 45 with other neurologic diseases (Group B).

[The prevalence of hepatitis A, B and C viral markers in the population of Gijón between 26 and 65 years old].

The aim of this study was to know the prevalence of hepatitis A, B and C markers in an adult population in Gijón, Spain. A randomized, transversal sample according to the census was made in a population between 26 and 65 years of age in Gijón, analyzing demographic, epidemiologic and clinical variables, liver function tests, anti-HAV IgG, anti-HBcore and anti-HCV. Of the 476 individuals included a census error was detected in 26 (5.

[The serum markers in the pregnant population of the basic health area of El Natahoyo (Gijón)].

Objectives: To find the prevalence of markers of rubeola, Toxoplasma, lues, HIV and hepatitis A, B and C viruses in the pregnant women of a health district; and these markers' correlations with epidemiological and socio-demographic antecedents.

Patients: 129 pregnant women from the 5.3 Health District in Asturias with birth predicted for between August 1994 and October 1995.

Survey of Escherichia coli septicemia over a six-year period.

Escherichia coli was the most frequent species isolated from blood cultures in the Hospital Covadonga of Oviedo (Spain) over a six-year period (474 episodes, 15.3% of the total septicemias and 2.7 episodes per 1,000 patients).