Search Results - "neuron"

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  1. 1

    Models of Neurons and Perceptrons: Selected Problems and Challenges by Bielecki, Andrzej

    Published 2019
    Table of Contents: “…Introduction -- Part I: Preliminaries -- Foundations of artificial neural networks -- Part II: Mathematical foundations -- General foundations -- Foundations of dynamical systems theory -- Part III: Mathematical models of the neuron -- Models of the whole neuron -- Models of parts of the neuron -- Part IV: Mathematical models of the perceptron -- General model of the perceptron -- Linear perceptrons -- Weakly nonlinear perceptrons -- Nonlinear perceptrons -- Concluding remarks and comments. .…”
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  2. 2

    An Introduction to molecular neurobiology /

    Published 1992
    Subjects:
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  4. 4

    Neuronal Network Dynamics in 2D and 3D in vitro Neuroengineered Systems by Frega, Monica

    Published 2016
    Table of Contents: “…Introduction -- Dissociated Neuronal Networks Coupled to Micro-Electrode Arrays Devices -- In Vitro Neuronal Networks -- 3D Neuronal Networks: State of the Art -- 3D Neuronal Networks Coupled to MEAs -- Neuro-pharmacological Studies -- Discussion and Conclusion -- Data Analysis.…”
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  5. 5

    Reconstruction, Identification and Implementation Methods for Spiking Neural Circuits by Florescu, Dorian

    Published 2017
    Table of Contents: “…Nomenclature -- Acronyms -- 1 Introduction -- 2 Time Encoding and Decoding in Bandlimited and Shift-Invariant Spaces -- 3 A Novel Framework for Reconstructing Bandlimited Signals Encoded by Integrate and-Fire Neurons -- 4 A Novel Reconstruction Framework in Shift-Invariant Spaces for Signals Encoded with Integrate-and-Fire Neurons -- 5 A New Approach to the Identification of Sensory Processing Circuits Based on Spiking Neuron Data -- 6 A New Method for Implementing Linear Filters in the Spike Domain -- 7 Conclusions and Future Work -- Bibliography.…”
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  6. 6

    Neuromorphic Cognitive Systems A Learning and Memory Centered Approach / by Yu, Qiang, Tang, Huajin, Hu, Jun, Tan Chen, Kay

    Published 2017
    Table of Contents: “…Introduction -- Rapid Feedforward Computation by Temporal Encoding and Learning with Spiking Neurons -- A Spike-Timing Based Integrated Model for Pattern Recognition -- Precise-Spike-Driven Synaptic Plasticity for Hetero Association of Spatiotemporal Spike Patterns -- A Spiking Neural Network System for Robust Sequence Recognition -- Temporal Learning in Multilayer Spiking Neural Networks Through Construction of Causal Connections -- A Hierarchically Organized Memory Model with Temporal Population Coding -- Spiking Neuron Based Cognitive Memory Model.…”
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  7. 7

    Dynamic Neuroscience Statistics, Modeling, and Control /

    Published 2018
    Table of Contents: “…A Distribution-Based Approach to Spike Train Decoding in the Rat Hippocampus and Entorhinal Cortex -- Sparsity Meets Dynamics: Robust Solutions to Neuronal Identification and Inverse Problems -- Artifact Rejection for Concurrent TMS-EEG Data -- Part II Modeling & Control Theory -- Characterizing Complex Human Behaviors and Neural Responses Using Dynamic Models -- Brain-Machine Interfaces -- Control-theoretic Approaches for Modeling, Analyzing and Manipulating Neuronal (In)activity -- From Physiological Signals to Pulsatile Dynamics: A Sparse System Identification Approach -- Neural Engine Hypothesis -- Inferring Neuronal Network Mechanisms Underlying Anesthesia induced Oscillations Using Mathematical Models -- Epilogue.…”
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  8. 8

    BioInformation Processing A Primer on Computational Cognitive Science / by Peterson, James K.

    Published 2016
    Table of Contents: “…BioInformation Processing -- The Diffusion Equation -- Integral Transforms -- The Time Dependent Cable Solution -- Mammalian Neural Structure -- Abstracting Principles of Computation -- Abstracting Principles of Computation -- Second Messenger Diffusion Pathways -- The Abstract Neuron Model -- Emotional Models -- Generation of Music Data: J. …”
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  9. 9

    Biologically Inspired Cognitive Architectures (BICA) for Young Scientists Proceedings of the First International Early Research Career Enhancement School (FIERCES 2016) /

    Published 2016
    Table of Contents: “…Models of Autonomous Cognitive Agents -- Differentiation of Groundwater Tax Rates as an Element of Improving the Economic Mechanism in the State Groundwater Extraction Management -- Users' of Information Systems Protection Analysis from Malefactor's Social Engineering Attacks Taking into Account Malefactor's Competence Profile -- Character Reasoning of the Social Network Users on the Basis of the Content Contained on Their Personal Pages -- Bayesian Optimization of Spiking Neural Network Parameters to Solving the Time Series Classiffcation Task -- Simulation of Learning in Neuronal Culture -- Unsupervised Neural Architecture for Saliency Detection: Extended Version -- Active adaptation of expert-based suggestions in ladieswear recommender system LookBooksClub via Reinforcement Learning -- Visual Analytics Support for Carbon Nanotube Design Automation -- A model of Neurodynamics of Hippocampal Formation Neurons Performing Spatial Processing Based on Even Cyclic Inhibitory Networks -- Feature Selection for Time-Series Prediction in Case of Undetermined Estimation -- A New Approach for Semantic Cognitive Maps Creation and Evaluation Based on Affix Relations -- On Alternative Instruments for the fMRI Data Analysis: General Linear Model Versus Algebraic Topology Approach -- Application of Hopfield Neural Network to the N-Queens Problem -- Simulation of a Fear-Like State on a Model of Dopamine System of Rat Brain -- Spatial and Temporal Parameters of Eye Movements During Viewing of Affective Images -- MEG Data Analysis Using the Empirical Mode Decomposition Method -- Evolutional Approach to Image Processing on the Example of Microsections -- "Cognovisor" for the Human Brain: Towards Mapping of Thought Processes by a Combination of fMRI and Eye-tracking -- Dynamic Intelligent Systems Integration and Evolution of Intelligent Control Systems Architectures -- Automated Planning: Usage for Integrated Expert Systems Construction -- Some Aspects of Temporal Knowledge Acquisition and Representation in Dynamic Integrated Expert Systems -- Collaboration of All-purpose Static Solver, Temporal Reasoning and Simulation Modeling Tools in Dynamic Integrated Expert Systems -- Some Aspects of Intellectual Tutoring Based on the Integrated Tutoring Expert Systems Usage -- To the Question of Learnability of a Spiking Neuron with Spike-Timing-Dependent Plasticity in Case of Complex Input Signals -- Causal Interactions Within the Default Mode Network as Revealed by Low-frequency Brain Fluctuations and Information Transfer Entropy -- Hierarchical Temporal Memory Implementation with Explicit States Extraction -- Swarm MeLiF: Feature Selection with Filter Combination Found via Swarm Intelligence -- Agent-based Model of Interactions in the Community of Investors and Producers -- Patterns of Spiking Activity of Neuronal Networks in Vitro as Memory Traces -- The Competency Management Based on Ontologies: Issues of Using in Organizations -- The Approach to Modeling of Synchronized Bursting in Neuronal Culture Using a Mathematical Model of a Neuron with Autoregulation Mechanism -- Dynamic Clustering of Connections Between fMRI Resting State Networks: A Comparison of Two Methods of Data Analysis -- Neural Network Solution of an Inverse Problem in Raman Spectroscopy of Multi-Component Solutions of Inorganic Salts -- Prediction of Relativistic Electrons Flux in the Outer Radiation Belt of the Earth Using Adaptive Methods -- Comparative Analysis of Residual Minimization and Artificial Neural Networks as Methods of Solving Inverse Problems: Test on Model Data -- A Biologically Inspired Architecture for Visual Self-Location.…”
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  10. 10

    Mathematical Modeling and Applications in Nonlinear Dynamics

    Published 2016
    Table of Contents: “…From the Contents: Introduction -- Mathematical Neuroscience: from neurons to networks -- Jupiters belts, our Ozone holes, and Degenerate tori -- Analytical solutions of periodic motions in time-delay systems -- DNA elasticity and its biological implications -- Epidemiology, dynamics, control and multi-patch mobility.…”
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  11. 11

    Silicon Nanowire Transistors by Bindal, Ahmet, Hamedi-Hagh, Sotoudeh

    Published 2016
    Table of Contents: “…Dual Work Function Silicon Nanowire MOS Transistors -- Single Work Function Silicon Nanowire MOS Transistors -- Spice Modeling For Analog and Digital Applications -- High-Speed Analog Applications -- Radio Frequency (RF) Applications -- SRAM Mega Cell Design for Digital Applications -- Field-Programmable-Gate-Array (FPGA) -- Integrate-And-Fire Spiking (IFS) Neuron -- Direct Sequence Spread Spectrum (DSSS) Base-Band Transmitter.-.…”
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  12. 12

    Advanced Optical Methods for Brain Imaging

    Published 2019
    Table of Contents: “…Introduction -- Optical Coherence Tomography for Brain Imaging -- Light-sheet microscopy for whole brain imaging -- The Airyscan detector from ZEISS: Confocal Microscopy Evolution for the Neurosciences -- Recording Ca++ Transients in Neurons by TCSPC FLIM -- In vivo imaging of all cortical layers and hippocampal CA1 pyramidal cells by two-photon excitation microscopy -- Patterned two-photon illumination for high-speed functional imaging of brain networks in vivo -- Holographic functional calcium imaging of neuronal circuit activity -- Advanced miniature microscopy for Brain Imaging -- Stimulated Raman scattering microscopy for brain imaging: basic principle, measurements and applications -- Super resolving approaches suitable for brain imaging applications -- Super resolution STED and STORM/PALM microscopy for brain imaging -- Expansion microscopy for brain imaging -- Adaptive Optics in Multiphoton Microscopy -- Chemical processing of brain tissues for large-volume, high-resolution optical imaging.…”
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  13. 13

    Cognitive Neuroscience Robotics A Synthetic Approaches to Human Understanding /

    Published 2016
    Table of Contents: “…Compliant Body as a Source of Intelligence -- Motor Control Based on the Muscle Synergy Hypothesis -- Motor Control Based on the Muscle Synergy Hypothesis -- Mirror Neuron System and Social Cognitive Development -- Attention and Preference of Humans and Robots -- Communication for Social Robots -- System Evaluation and User Interfaces -- Robotics for Safety and Security -- Android Science.…”
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  14. 14

    Taste and Smell

    Published 2017
    Table of Contents: “…Taste receptor gene expression outside the gustatory system -- Medicinal Chemistry of Plant Naturals as Agonists/Antagonists for Taste Receptors -- Chemical activation of TRP channels in taste and smell -- Olfactory transduction channels and their modulation by varieties of volatile substances -- Chemosensory G protein-coupled receptors (GPCR) in blood leukocytes -- Neuronal functions and emerging pharmacology of TAAR1.…”
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  15. 15

    Proceedings of 2018 Chinese Intelligent Systems Conference Volume I /

    Published 2019
    Table of Contents: “…Research on Cosine-type Non-uniform Air Gap Structure Based on Finite Element Analysis -- Quasi-Interval Bipartite Consensus Problems on Discrete-Time Signed Networks -- The Research on Force-Magnetic Effect of Wheelset of High-speed Train Based on Metal Magnetic Memory Method -- Application of single neuron LADRC in trajectory tracking control of parafoil system -- A design scheme of adaptive switching neural control with uncertain nonlinearity and external disturbance.…”
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  16. 16

    Neurosociology: Fundamentals and Current Findings by Franks, David D.

    Published 2019
    Table of Contents: “…The Post-Freudian Unconscious: Agency and Awareness -- Chapter 7. Mirror Neurons, a Return to Pragmatism and Implications for an Embodied Intersubjectivity -- Chapter 8. …”
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  17. 17

    Neural Engineering From Advanced Biomaterials to 3D Fabrication Techniques /

    Published 2016
    Table of Contents: “…1 Biomaterials and 3D Printing Techniques for Neural Tissue Regeneration -- 2 Stem Cells, Bioengineering, and 3-D Scaffolds for Nervous System Repair and Regeneration -- 3 Engineering Neuronal Patterning and Defined Axonal Elongation In Vitro -- 4 Building blocks for bottom-up neural tissue engineering: tools for controlling and assembling neural circuits -- 5 Electrically Conductive Materials for Nerve Regeneration -- 6 Bioactive Nanomaterials for Neural Engineering -- 7 Cell Sources and Nanotechnology for Neural Tissue Engineering -- 8 Brain-Machine Interfaces: Restoring and Establishing Communication Channels -- 9 In vitro Modeling of Nervous System: Engineering of the Reflex Arc.…”
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  18. 18

    Essentials of Single-Cell Analysis Concepts, Applications and Future Prospects /

    Published 2016
    Table of Contents: “…Single Cell Behavioral Assays for Heterogeneity Studies -- Systems biology in single cells -- Electroporation for single cell analysis -- Microinjection for single cell analysis -- Optical tools for single cell manipulation and analysis -- Optoelectrokinetic manipulation for cell analysis -- Continuous micro/nano-fluidic devices for single cell analysis -- Single Cell Mechanical Properties: Label-Free Biomarkers for Cell Status Evaluation -- Cytometry of single cells for biology and biomedicine -- Single cell genomics and epigenomics -- Single cell Metabolomics -- Applications of cell based drug delivery systems: use of single cell assay -- Applications of Single Cell Sequencing in Cancer -- Single Cell Characterization of Microalgal Lipid Contents with Confocal Raman Microscopy -- Single Differentiated Neurons from Pluripotent Embryonic Stem Cells: Motor Protein Modelling and Neurodegenerative Disease.…”
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  19. 19

    Uncertainty in Biology A Computational Modeling Approach /

    Published 2016
    Table of Contents: “…An Introduction to Uncertainty in the Development of Computational Models of Biological Processes -- Reverse Engineering under Uncertainty -- Probabilistic Computational Causal Discovery for Systems Biology -- Macroscopic Simulation of Individual-Based Stochastic Models for Biological Processes -- The Experimental Side of Parameter Estimation -- Statistical Data Analysis and Modeling -- Optimization in Biology: Parameter Estimation and the Associated Optimization Problem -- Interval Methods -- Model Extension and Model Selection -- Bayesian Model Selection Methods and their Application to Biological ODE Systems -- Sloppiness and the Geometry of Parameter Space -- Modeling and Model Simplification to Facilitate Biological Insights and Predictions -- Sensitivity Analysis by Design of Experiments -- Waves in Spatially-Disordered Neural Fields: a Case Study in Uncertainty Quantification -- X In-silico Models of Trabecular Bone: a Sensitivity Analysis Perspective -- Neuroswarm: a Methodology to Explore the Constraints that Function Imposes on Simulation Parameters in Large-Scale Networks of Biological Neurons -- Prediction Uncertainty Estimation Despite Unidentifiability: an Overview of Recent Developments -- Computational Modeling Under Uncertainty: Challenges and Opportunities.…”
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