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See detailNeural correlates of arithmetic problem solving in bilinguals: an fMRI study.
Van Rinsveld, Amandine UL; Dricot, Laurence; Guillaume, Mathieu UL et al

Poster (2015, May)

Detailed reference viewed: 75 (1 UL)
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See detailNeural correlates of the acquisition of a motor expertise with extended practice: A fMRI study
Borragan Pedraz, Guillermo; Guillaume, Mathieu UL; Atas, Anne et al

Poster (2013)

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See detailNeural networks for recognizing human activities in home-like environments
Rodriguez Lera, Francisco Javier UL; Rico, Francisco Mart In; Olivera, Vicente Matellán

in Integrated Computer-Aided Engineering (2018), (Preprint), 1--10

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See detailA Neural Reinforcement Learning Approach for Behavior Acquisition in Intelligent Autonomous Systems
Antonelo, Eric Aislan UL

Bachelor/master dissertation (2006)

In this work new artificial learning and innate control mechanisms are proposed for application in autonomous behavioral systems for mobile robots. An autonomous system (for mobile robots) existent in the ... [more ▼]

In this work new artificial learning and innate control mechanisms are proposed for application in autonomous behavioral systems for mobile robots. An autonomous system (for mobile robots) existent in the literature is enhanced with respect to its capacity of exploring the environment and avoiding risky configurations (that lead to collisions with obstacles even after learning). The particular autonomous system is based on modular hierarchical neural networks. Initially,the autonomous system does not have any knowledge suitable for exploring the environment (and capture targets œ foraging). After a period of learning,the system generates efficientobstacle avoid ance and target seeking behaviors. Two particular deficiencies of the forme rautonomous system (tendency to generate unsuitable cyclic trajectories and ineffectiveness in risky configurations) are discussed and the new learning and controltechniques (applied to the autonomous system) are verified through simulations. It is shown the effectiveness of the proposals: theautonomous system is able to detect unsuitable behaviors (cyclic trajectories) and decrease their probability of appearance in the future and the number of collisions in risky situations is significantly decreased. Experiments also consider maze environments (with targets distant from each other) and dynamic environments (with moving objects). [less ▲]

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See detailThe neural stem cell fate determinant TRIM32 regulates complex behavioral traits
Hillje, Anna-Lena UL; Beckmann, Elisabeth; Pavlou, Maria Angeliki UL et al

in Frontiers in Cellular Neuroscience (2015)

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See detailNeural stem cells maintain their stemness through protein kinase C zeta-mediated inhibition of TRIM32.
Hillje, Anna-Lena; Worlitzer, Maik M. A.; Palm, Thomas et al

in Stem Cells (2011), 29(9), 1437-47

Several studies over the last couple of years have delivered insights into the mechanisms that drive neuronal differentiation. However, the mechanisms that ensure the maintenance of stemness ... [more ▼]

Several studies over the last couple of years have delivered insights into the mechanisms that drive neuronal differentiation. However, the mechanisms that ensure the maintenance of stemness characteristics in neural stem cells over several rounds of cell divisions are still largely unknown. Here, we provide evidence that the neuronal fate determinant TRIM32 binds to the protein kinase C zeta. Through this interaction, TRIM32 is retained in the cytoplasm. However, during differentiation, this interaction is abrogated and TRIM32 translocates to the nucleus to initiate neuronal differentiation by targeting c-Myc for proteasomal degradation. [less ▲]

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See detailNeural Symbolic Architecture for Normative Agents
Boella, Guido; Colombo Tosatto, Silvano UL; d'Avila Garcez, Artur et al

in In Proceedings of The Seventh International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011). May, 2011 (2011)

In this paper we propose a neural-symbolic architecture to represent and reason with norms in multi-agent systems. On the one hand, the architecture contains a symbolic knowledge base to represent norms ... [more ▼]

In this paper we propose a neural-symbolic architecture to represent and reason with norms in multi-agent systems. On the one hand, the architecture contains a symbolic knowledge base to represent norms and on the other hand it contains a neural network to reason with norms. The interaction between the symbolic knowledge and the neural network is used to learn norms. We describe how to handle normative reasoning issues like contrary to duties, dilemmas and exceptions by using a priority-based ordering between the norms in a neural-symbolic architecture. [less ▲]

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See detailNeuro-Inspired Reward-Based Tracking Control for Robotic Manipulators with Unknown Dynamics
Klecker, Sophie UL; Hichri, Bassem UL; Plapper, Peter UL

in Proceedings of the 2017 2nd International Conference on Robotics and Automation Engineering (ICRAE) (2017, December)

Tracking control for robotic manipulators is required for numerous automation tasks in manufacturing engineering. For this purpose, model-free PD-controllers are largely implemented by default in ... [more ▼]

Tracking control for robotic manipulators is required for numerous automation tasks in manufacturing engineering. For this purpose, model-free PD-controllers are largely implemented by default in commercially available robot arms and provide satisfactory performance for simple path following applications. Ever more complex automation tasks however ask for novel intelligent and adaptive tracking control strategies. In surface finishing processes, discontinuous freeform paths as well as changing constraints between the robotic end-effector and its surrounding environment affect the tracking control by undermining the stable system performance. The lacking knowledge of industrial robot dynamic parameters presents an additional challenge for the tracking control algorithms. In this paper the control problem of robotic manipulators with unknown dynamics and varying constraints is addressed. A robust sliding mode controller is combined with an RBF (Radial Basis Function) Neural Network-estimator and an intelligent, biomimetic BELBIC (Brain Emotional Learning-Based Intelligent Control) term to approximate the nonlinear robot dynamics function and achieve a robust and adaptive tracking performance. [less ▲]

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See detailNeuroChip, an updated version of the NeuroX genotyping platform to rapidly screen for variants associated with neurological diseases
Blauwendraat, Cornelis; Faghri, Faraz; Pihlstrom, Lasse et al

in Neurobiology of Aging (2017)

Genetics has proven to be a powerful approach in neurodegenerative diseases research, resulting in the identification of numerous causal and risk variants. Previously, we introduced the NeuroX Illumina ... [more ▼]

Genetics has proven to be a powerful approach in neurodegenerative diseases research, resulting in the identification of numerous causal and risk variants. Previously, we introduced the NeuroX Illumina genotyping array, a fast and efficient genotyping platform designed for the investigation of genetic variation in neurodegenerative diseases. Here, we present its updated version, named NeuroChip. The NeuroChip is a low cost, custom-designed array containing a tagging variant backbone of about 306,670 variants complemented with a manually curated custom content comprised of 179,467 variants implicated in diverse neurological diseases, including Alzheimer’s disease, Parkinson’s disease, Lewy body dementia, amyotrophic lateral sclerosis, frontotemporal dementia, progressive supranuclear palsy, corticobasal degeneration and multiple system atrophy. The tagging backbone was chosen because of the low cost and good genome-wide resolution; the custom content can be combined with other backbones, like population or drug development arrays. Using the NeuroChip, we can accurately identify rare variants and impute over 5.3 million common SNPs from the latest release of the Haplotype Reference Consortium. In summary, we describe the design and usage of the NeuroChip array, and show its capability for detecting rare pathogenic variants in numerous neurodegenerative diseases. The NeuroChip has a more comprehensive and improved content, which makes it a reliable, high-throughput, cost-effective screening tool for genetic research and molecular diagnostics in neurodegenerative diseases. [less ▲]

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See detailNeurocognitive components of gambling disorder: Implications for policy, prevention , and treatment
Navas, Juan F.; Billieux, Joël UL; Verdejo-Garcia, Antonio et al

in Bowden-Jones, H; Dickson, C; Dunand, C (Eds.) et al Harm Reduction for Problem Gambling: A Public Health Approach (2019)

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See detailNeurodegeneration by Activation of the Microglial Complement–Phagosome Pathway
Bodea, Liviu-Gabriel; Wang, Yiner; Linnartz-Gerlach, Bettina et al

in Journal of Neuroscience (2014), 34(25), 8546-8556

Systemic inflammatory reactions have been postulated to exacerbate neurodegenerative diseases via microglial activation. We now demonstrate in vivo that repeated systemic challenge of mice over four ... [more ▼]

Systemic inflammatory reactions have been postulated to exacerbate neurodegenerative diseases via microglial activation. We now demonstrate in vivo that repeated systemic challenge of mice over four consecutive days with bacterial LPS maintained an elevated microglial inflammatory phenotype and induced loss of dopaminergic neurons in the substantia nigra. The same total cumulative LPS dose given within a single application did not induce neurodegeneration. Whole-genome transcriptome analysis of the brain demonstrated that repeated systemic LPS application induced an activation pattern involving the classical complement system and its associated phagosome pathway. Loss of dopaminergic neurons induced by repeated systemic LPS application was rescued in complement C3-deficient mice, confirming the involvement of the complement system in neurodegeneration. Our data demonstrate that a phagosomal inflammatory response of microglia is leading to complement-mediated loss of dopaminergic neurons. [less ▲]

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See detailNeurofeedback in three patients in the state of unresponsive wakefulness
Keller, Ingo; Müller, Ruta UL

in Applied Psychophysiology and Biofeedback (2015), 40(4), 349-356

Some severely brain injured patients remain unresponsive, only showing reflex movements without any response to command. This syndrome has been named unresponsive wakefulness syndrome (UWS). The objective ... [more ▼]

Some severely brain injured patients remain unresponsive, only showing reflex movements without any response to command. This syndrome has been named unresponsive wakefulness syndrome (UWS). The objective of the present study was to determine whether UWS patients are able to alter their brain activity using neurofeedback (NFB) technique. A small sample of three patients received a daily session of NFB for 3 weeks. We applied the ratio of theta and beta amplitudes as a feedback variable. Using an automatic threshold function, patients heard their favourite music whenever their theta/beta ratio dropped below the threshold. Changes in awareness were assessed weekly with the JFK Coma Recovery Scale-Revised for each treatment week, as well as 3 weeks before and after NFB. Two patients showed a decrease in their theta/beta ratio and theta-amplitudes during this period. The third patient showed no systematic changes in his EEG activity. The results of our study provide the first evidence that NFB can be used in patients in a state of unresponsive wakefulness. [less ▲]

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See detailNeurofilament L gene is not a genetic factor of sporadic and familial Parkinson's disease.
Rahner, Nils; Holzmann, Carsten; Krüger, Rejko UL et al

in Brain research (2002), 951(1), 82-6

Mutations in two genes, alpha-synuclein and parkin, have been identified as some rare causes for familial Parkinson's disease (PD). alpha-Synuclein and parkin protein have subsequently been identified in ... [more ▼]

Mutations in two genes, alpha-synuclein and parkin, have been identified as some rare causes for familial Parkinson's disease (PD). alpha-Synuclein and parkin protein have subsequently been identified in Lewy bodies (LB). To gain further insight into the pathogenesis of PD we investigated the role of neurofilament light (NF-L), another component of LB aggregation. A detailed mutation search of the NF-L gene in 328 sporadic and familial PD patients of German ancestry revealed three silent DNA changes (G163A, C224T, C487T) in three unrelated patients. Analysis of the promoter region of the NF-L gene identified a total of three base pair substitutions defining five haplotypes. Association studies based on these haplotypes revealed no significant differences between PD patients and 344 control individuals. Therefore, NF-L is unlikely to play a major role in the pathogenesis of PD. [less ▲]

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See detailThe Neurogenic Potential of Astrocytes Is Regulated by Inflammatory Signals
Michelucci, Alessandro UL; Bithell, Angela; Burney, Matthew et al

in Molecular Neurobiology (2015)

Although the adult brain contains neural stem cells (NSCs) that generate new neurons throughout life, these astrocyte-like populations are restricted to two discrete niches. Despite their terminally ... [more ▼]

Although the adult brain contains neural stem cells (NSCs) that generate new neurons throughout life, these astrocyte-like populations are restricted to two discrete niches. Despite their terminally differentiated phenotype, adult parenchymal astrocytes can re-acquire NSC-like characteristics following injury, and as such, these ‘reactive’ astrocytes offer an alternative source of cells for central nervous system (CNS) repair following injury or disease. At present, the mechanisms that regulate the potential of different types of astrocytes are poorly understood. We used in vitro and ex vivo astrocytes to identify candidate pathways important for regulation of astrocyte potential. Using in vitro neural progenitor cell (NPC)-derived astrocytes, we found that exposure of more lineage-restricted astrocytes to either tumor necrosis factor alpha (TNF-α) (via nuclear factor-κB (NFκB)) or the bone morphogenetic protein (BMP) inhibitor, noggin, led to re-acquisition of NPC properties accompanied by transcriptomic and epigenetic changes consistent with a more neurogenic, NPC-like state. Comparative analyses of microarray data from in vitro-derived and ex vivo postnatal parenchymal astrocytes identified several common pathways and upstream regulators associated with inflammation (including transforming growth factor (TGF)-β1 and peroxisome proliferator-activated receptor gamma (PPARγ)) and cell cycle control (including TP53) as candidate regulators of astrocyte phenotype and potential. We propose that inflammatory signalling may control the normal, progressive restriction in potential of differentiating astrocytes as well as under reactive conditions and represent future targets for therapies to harness the latent neurogenic capacity of parenchymal astrocytes. [less ▲]

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See detailNeuroIdentifier: Tool zur Identifikation dynamischer Systeme mit neuronalen Netzen
Habtom, Ressom; Voos, Holger UL; Litz, Lothar

in Automatisierungstechnik (1999), 47(4), 181-182

Detailed reference viewed: 41 (0 UL)
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See detailNeurokinin A-like immunoreactivity in articular afferents of the cat
Hanesch, Ulrike UL; Heppelmann, Bernd; Schmidt, Robert

in Brain Research (1992), 586

Detailed reference viewed: 64 (0 UL)
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See detailThe neurokinin-1 receptor antagonist RP 67580, reduces the sensitization of primary afferents by substance P in the rat.
Pawlak, Matthias; Schmidt, Robert; Heppelmann, Bernd et al

in European Journal of Pain (London, England) (2001), 5

Detailed reference viewed: 60 (0 UL)