AIMC Topic: Models, Neurological

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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 ...
Models, Neurological Action Potentials Neurons Neural Networks, Computer Computer Simulation
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Predict or classify: The deceptive role of time-locking in brain signal classification.

Scientific reports Jun 20, 2016
Several experimental studies claim to be able to predict the outcome of simple decisions from brain signals measured before subjects are aware of their decision. Often, these studies use multivariate pattern recognition methods with the underlying as...
Models, Neurological Decision Making Choice Behavior Machine Learning Brain Humans
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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...
Neurons Algorithms Humans Memory, Long-Term Neural Networks, Computer Computer Simulation Computer Communication Networks Models, Neurological
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Organic core-sheath nanowire artificial synapses with femtojoule energy consumption.

Science advances Jun 17, 2016
Emulation of biological synapses is an important step toward construction of large-scale brain-inspired electronics. Despite remarkable progress in emulating synaptic functions, current synaptic devices still consume energy that is orders of magnitud...
Electronics Nanotechnology Neural Networks, Computer Nanowires Neuronal Plasticity Electrical Synapses Transistors, Electronic Models, Neurological
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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...
Neurons Synapses Stochastic Processes Epilepsy Seizures Membrane Potentials Uncertainty Brain Computer Simulation Data Interpretation, Statistical Bayes Theorem Models, Neurological Humans Neural Networks, Computer Algorithms
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Reaction-diffusion-like formalism for plastic neural networks reveals dissipative solitons at criticality.

Physical review. E Jun 6, 2016
Self-organized structures in networks with spike-timing dependent synaptic plasticity (STDP) are likely to play a central role for information processing in the brain. In the present study we derive a reaction-diffusion-like formalism for plastic fee...
Computer Simulation Learning Neuronal Plasticity Neural Networks, Computer Models, Neurological Action Potentials
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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 ...
Models, Neurological Neurons Nerve Net Humans Neural Networks, Computer Algorithms Fuzzy Logic
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Analytically tractable studies of traveling waves of activity in integrate-and-fire neural networks.

Physical review. E May 27, 2016
In contrast to other large-scale network models for propagation of electrical activity in neural tissue that have no analytical solutions for their dynamics, we show that for a specific class of integrate and fire neural networks the acceleration dep...
Models, Neurological Neural Networks, Computer Action Potentials Time Factors Neurons
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A cortically-inspired model for inverse kinematics computation of a humanoid finger with mechanically coupled joints.

Bioinspiration & biomimetics May 19, 2016
The human hand's versatility allows for robust and flexible grasping. To obtain such efficiency, many robotic hands include human biomechanical features such as fingers having their two last joints mechanically coupled. Although such coupling enables...
Humans Finger Joint Computer Simulation Feedback, Physiological Biomechanical Phenomena Biomimetics Neural Networks, Computer Fingers Equipment Failure Analysis Models, Neurological Equipment Design Animals Motor Cortex Hand Strength Computer-Aided Design Nerve Net Robotics
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Proposal for an All-Spin Artificial Neural Network: Emulating Neural and Synaptic Functionalities Through Domain Wall Motion in Ferromagnets.

IEEE transactions on biomedical circuits and systems May 18, 2016
Non-Boolean computing based on emerging post-CMOS technologies can potentially pave the way for low-power neural computing platforms. However, existing work on such emerging neuromorphic architectures have either focused on solely mimicking the neuro...
Magnets Models, Neurological Neurons Synapses Neural Networks, Computer Algorithms
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