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Digital Object Memory Based Monitoring Solutions in Manufacturing Processes.
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- Annals of DAAAM & Proceedings, 2013, v. 24, n. 1, p. 449, doi. 10.1016/j.proeng.2014.03.011
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- Article
Trading digital information goods based on semantic technologies.
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- Journal of Theoretical & Applied Electronic Commerce Research, 2007, v. 2, n. 3, p. 18, doi. 10.3390/jtaer2030019
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- Article
Branch-Specific Plasticity Enables Self-Organization of Nonlinear Computation in Single Neurons.
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- Journal of Neuroscience, 2011, v. 31, n. 30, p. 10787, doi. 10.1523/JNEUROSCI.5684-10.2011
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- Article
A Reward-Modulated Hebbian Learning Rule Can Explain Experimentally Observed Network Reorganization in a Brain Control Task.
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- Journal of Neuroscience, 2010, v. 30, n. 25, p. 8400, doi. 10.1523/JNEUROSCI.4284-09.2010
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- Article
Modeling circuit mechanisms of opposing cortical responses to visual flow perturbations.
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- PLoS Computational Biology, 2024, v. 20, n. 3, p. 1, doi. 10.1371/journal.pcbi.1011921
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- Article
A Statistical Analysis of Information-Processing Properties of Lamina-Specific Cortical Microcircuit Models.
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- Cerebral Cortex, 2007, v. 17, n. 1, p. 149
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- Article
S3DB core: a framework for RDF generation andmanagement in bioinformatics infrastructures.
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- BMC Bioinformatics, 2010, v. 11, p. 387, doi. 10.1186/1471-2105-11-387
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- Article
State-dependent computations: spatiotemporal processing in cortical networks.
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- Nature Reviews Neuroscience, 2009, v. 10, n. 2, p. 113, doi. 10.1038/nrn2558
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- Article
How can neuromorphic hardware attain brain-like functional capabilities?
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- National Science Review, 2024, v. 11, n. 5, p. 1, doi. 10.1093/nsr/nwad301
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- Article
Spike frequency adaptation supports network computations on temporally dispersed information.
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- eLife, 2021, p. 1, doi. 10.7554/eLife.65459
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- Article
The role of feedback in morphological computation with compliant bodies.
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- Biological Cybernetics, 2012, v. 106, n. 10, p. 595, doi. 10.1007/s00422-012-0516-4
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- Article
Towards a theoretical foundation for morphological computation with compliant bodies.
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- Biological Cybernetics, 2011, v. 105, n. 5/6, p. 355, doi. 10.1007/s00422-012-0471-0
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- Article
Biologically inspired kinematic synergies enable linear balance control of a humanoid robot.
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- Biological Cybernetics, 2011, v. 104, n. 4/5, p. 235, doi. 10.1007/s00422-011-0430-1
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- Article
Solving Constraint Satisfaction Problems with Networks of Spiking Neurons.
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- Frontiers in Neuroscience, 2016, p. 1, doi. 10.3389/fnins.2016.00118
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- Article
Feedback Inhibition Shapes Emergent Computational Properties of Cortical Microcircuit Motifs.
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- Journal of Neuroscience, 2017, v. 37, n. 35, p. 8511, doi. 10.1523/JNEUROSCI.2078-16.2017
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- Article
Emergence of Dynamic Memory Traces in Cortical Microcircuit Models through STDP.
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- Journal of Neuroscience, 2013, v. 33, n. 28, p. 11515, doi. 10.1523/JNEUROSCI.5044-12.2013
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- Article
Network Plasticity as Bayesian Inference.
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- PLoS Computational Biology, 2015, v. 11, n. 10, p. 1, doi. 10.1371/journal.pcbi.1004485
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- Article
Ensembles of Spiking Neurons with Noise Support Optimal Probabilistic Inference in a Dynamically Changing Environment.
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- PLoS Computational Biology, 2014, v. 10, n. 10, p. 1, doi. 10.1371/journal.pcbi.1003859
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- Article
STDP Installs in Winner-Take-All Circuits an Online Approximation to Hidden Markov Model Learning.
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- PLoS Computational Biology, 2014, v. 10, n. 3, p. 1, doi. 10.1371/journal.pcbi.1003511
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- Article
Stochastic Computations in Cortical Microcircuit Models.
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- PLoS Computational Biology, 2013, v. 9, n. 11, p. 1, doi. 10.1371/journal.pcbi.1003311
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- Article
Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity.
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- PLoS Computational Biology, 2013, v. 9, n. 4, p. 1, doi. 10.1371/journal.pcbi.1003037
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- Article
Probabilistic Inference in General Graphical Models through Sampling in Stochastic Networks of Spiking Neurons.
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- PLoS Computational Biology, 2011, v. 7, n. 12, p. 1, doi. 10.1371/journal.pcbi.1002294
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- Article
Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons.
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- PLoS Computational Biology, 2011, v. 7, n. 11, p. 1, doi. 10.1371/journal.pcbi.1002211
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- Article
Computational Aspects of Feedback in Neural Circuits.
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- PLoS Computational Biology, 2007, v. 3, n. 1, p. 15, doi. 10.1371/journal.pcbi.0020165
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- Article
Perspectives of the high-dimensional dynamics of neural microcircuits from the point of view of low-dimensional readouts.
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- Complexity, 2003, v. 8, n. 4, p. 39, doi. 10.1002/cplx.10089
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- Article
STDP Forms Associations between Memory Traces in Networks of Spiking Neurons.
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- Cerebral Cortex, 2020, v. 30, n. 3, p. 952, doi. 10.1093/cercor/bhz140
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- Article
Emergence of Complex Computational Structures From Chaotic Neural Networks Through Reward-Modulated Hebbian Learning.
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- Cerebral Cortex, 2014, v. 24, n. 3, p. 677, doi. 10.1093/cercor/bhs348
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- Article
New observations on Erioderma in North America.
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- Nordic Journal of Botany, 1983, v. 3, n. 5, p. 567, doi. 10.1111/j.1756-1051.1983.tb01469.x
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- Article
Probing Real Sensory Worlds of Receivers with Unsupervised Clustering.
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- PLoS ONE, 2012, v. 7, n. 6, p. e37354, doi. 10.1371/journal.pone.0037354
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- Article
Learned graphical models for probabilistic planning provide a new class of movement primitives.
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- Frontiers in Computational Neuroscience, 2013, v. 7, p. 1, doi. 10.3389/fncom.2012.00097
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- Article
Distributed Fading Memory for Stimulus Properties in the Primary Visual Cortex.
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- PLoS Biology, 2009, v. 7, n. 12, p. 1, doi. 10.1371/journal.pbio.1000260
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Digitale Gesundheitsanwendungen (DiGA) im Spannungsfeld von Fortschritt und Kritik: Diskussionsbeitrag der Fachgruppe „Digital Health" der Gesellschaft für Informatik e. V.
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- Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz, 2024, v. 67, n. 1, p. 107, doi. 10.1007/s00103-023-03804-2
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- Article
PRScalc, a privacy-preserving calculation of raw polygenic risk scores from direct-to-consumer genomics data.
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- Bioinformatics Advances, 2023, v. 3, n. 1, p. 1, doi. 10.1093/bioadv/vbad145
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- Article
Comparison of the Ground Vegetation in Spruce Plantations and Natural Forest in the Greater Fundy Ecosystem, New Brunswick.
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- Canadian Field-Naturalist, 2003, v. 117, n. 4, p. 531, doi. 10.22621/cfn.v117i4.800
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Data-Driven Meets Theory-Driven Research in the Era of Big Data: Opportunities and Challenges for Information Systems Research.
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- Journal of the Association for Information Systems, 2018, v. 19, n. 12, p. 1253, doi. 10.17705/1jais.00526
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Local prediction-learning in highdimensional spaces enables neural networks to plan.
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- Nature Communications, 2024, v. 15, p. 1, doi. 10.1038/s41467-024-46586-0
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- Article
Neuromorphic Hardware Learns to Learn.
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- Frontiers in Neuroscience, 2019, p. N.PAG, doi. 10.3389/fnins.2019.00483
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- Article
The chemistry of streams in southwestern and central Nova Scotia, with particular reference to catchment vegetation and the influence of dissolved organic carbon primarily from wetlands
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- Wetlands, 1998, v. 18, n. 1, p. 115
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A solution to the learning dilemma for recurrent networks of spiking neurons.
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- Nature Communications, 2020, v. 11, n. 1, p. 1, doi. 10.1038/s41467-020-17236-y
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- Article
Fast learning without synaptic plasticity in spiking neural networks.
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- Scientific Reports, 2024, v. 14, n. 1, p. 1, doi. 10.1038/s41598-024-55769-0
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- Article
Distributed Bayesian Computation and Self-Organized Learning in Sheets of Spiking Neurons with Local Lateral Inhibition.
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- PLoS ONE, 2015, v. 10, n. 8, p. 1, doi. 10.1371/journal.pone.0134356
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- Article
Embodied Synaptic Plasticity With Online Reinforcement Learning.
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- Frontiers in Neurorobotics, 2019, p. 1, doi. 10.3389/fnbot.2019.00081
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- Article