AIMC Topic:
Neurons

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Quadrupedal Robot Locomotion: A Biologically Inspired Approach and Its Hardware Implementation.

Computational intelligence and neuroscience Jun 29, 2016
A bioinspired locomotion system for a quadruped robot is presented. Locomotion is achieved by a spiking neural network (SNN) that acts as a Central Pattern Generator (CPG) producing different locomotion patterns represented by their raster plots. To ...
Models, Neurological Artificial Intelligence Computer Simulation Action Potentials Robotics Neuronal Plasticity Neurons Locomotion Humans Neural Networks, Computer
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Methodology of Recurrent Laguerre-Volterra Network for Modeling Nonlinear Dynamic Systems.

IEEE transactions on neural networks and learning systems Jun 24, 2016
In this paper, we have introduced a general modeling approach for dynamic nonlinear systems that utilizes a variant of the simulated annealing algorithm for training the Laguerre-Volterra network (LVN) to overcome the local minima and convergence pro...
Neurons Nonlinear Dynamics Animals Models, Neurological Action Potentials Algorithms Computer Simulation Humans Neural Networks, Computer
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Decoder Design Based on Spiking Neural P Systems.

IEEE transactions on nanobioscience Jun 23, 2016
The spiking neural P systems (SN P systems, for short) refer to the parallel-distributed biocomputing models, which have currently become research hotspots in the biocomputing field. In computing systems, logical operations and arithmetic operations ...
Action Potentials Neurons Neural Networks, Computer Computer Simulation Models, Neurological
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Optimizing NEURON Simulation Environment Using Remote Memory Access with Recursive Doubling on Distributed Memory Systems.

Computational intelligence and neuroscience Jun 20, 2016
Increase in complexity of neuronal network models escalated the efforts to make NEURON simulation environment efficient. The computational neuroscientists divided the equations into subnets amongst multiple processors for achieving better hardware pe...
Algorithms Computer Simulation Models, Neurological Humans Neural Networks, Computer Neurons Computer Communication Networks Memory, Long-Term
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Unsupervised neural spike sorting for high-density microelectrode arrays with convolutive independent component analysis.

Journal of neuroscience methods Jun 15, 2016
BACKGROUND: Unsupervised identification of action potentials in multi-channel extracellular recordings, in particular from high-density microelectrode arrays with thousands of sensors, is an unresolved problem. While independent component analysis (I...
Neurons Artifacts Microelectrodes Computer Simulation Rabbits Models, Theoretical Retina Animals Action Potentials Unsupervised Machine Learning
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Classification of adult human dentate nucleus border neurons: Artificial neural networks and multidimensional approach.

Journal of theoretical biology Jun 15, 2016
AIMS: Primary aim in this study is to investigate whether external and internal border neurons of adult human dentate nucleus express the same neuromorphological features or belong to a different morphological types i.e. whether can be classified not...
Humans Neural Networks, Computer Cerebellar Nuclei Principal Component Analysis Neurons Dendrites Adult Cluster Analysis
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Statistical Performance Analysis of Data-Driven Neural Models.

International journal of neural systems Jun 9, 2016
Data-driven model-based analysis of electrophysiological data is an emerging technique for understanding the mechanisms of seizures. Model-based analysis enables tracking of hidden brain states that are represented by the dynamics of neural mass mode...
Neural Networks, Computer Algorithms Synapses Stochastic Processes Brain Humans Uncertainty Computer Simulation Membrane Potentials Models, Neurological Epilepsy Seizures Neurons Data Interpretation, Statistical Bayes Theorem
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Neural Net Gains Estimation Based on an Equivalent Model.

Computational intelligence and neuroscience Jun 5, 2016
A model of an Equivalent Artificial Neural Net (EANN) describes the gains set, viewed as parameters in a layer, and this consideration is a reproducible process, applicable to a neuron in a neural net (NN). The EANN helps to estimate the NN gains or ...
Neurons Nerve Net Fuzzy Logic Models, Neurological Humans Neural Networks, Computer Algorithms
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Metric hashing forests.

Medical image analysis Jun 3, 2016
In this paper, we propose metric Hashing Forests (mHF) which is a supervised variant of random forests tailored for the task of nearest neighbor retrieval through hashing. This is achieved by training independent hashing trees that parse and encode t...
Humans Machine Learning Databases, Factual Archives Reproducibility of Results Sensitivity and Specificity Neurons
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Extended dissipative state estimation for memristive neural networks with time-varying delay.

ISA transactions Jun 2, 2016
This paper investigates the problem of extended dissipative state estimation for memristor-based neural networks (MNNs) with time-varying delay. Based on both nonsmooth analysis and the construction of a new Lyapunov-Krasovskii functional, the extend...
Neural Networks, Computer Neurons Algorithms Nonlinear Dynamics Memory Computer Simulation
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