AIMC Topic:
Neurons

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Further improvement on delay-dependent robust stability criteria for neutral-type recurrent neural networks with time-varying delays.

ISA transactions Nov 8, 2014
This paper is concerned with the problem of improved delay-dependent robust stability criteria for neutral-type recurrent neural networks (NRNNs) with time-varying delays. Combining the Lyapunov-Krasovskii functional with linear matrix inequality (LM...
Animals Models, Neurological Nonlinear Dynamics Nerve Net Neurons Neural Networks, Computer Computer Simulation Humans Feedback, Physiological
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Adaptive Synchronization of Memristor-Based Neural Networks with Time-Varying Delays.

IEEE transactions on neural networks and learning systems Nov 7, 2014
In this paper, adaptive synchronization of memristor-based neural networks (MNNs) with time-varying delays is investigated. The dynamical analysis here employs results from the theory of differential equations with discontinuous right-hand sides as i...
Memory Neurons Nonlinear Dynamics Humans Neural Networks, Computer Computer Simulation Time Factors Algorithms
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Spiking neural P systems with rules on synapses working in maximum spikes consumption strategy.

IEEE transactions on nanobioscience Nov 6, 2014
Spiking neural P systems (SN P systems, for short) are a class of parallel and distributed computation models inspired from the way the neurons process and communicate information by means of spikes. In this paper, we consider a new variant of SN P s...
Neural Networks, Computer Neurons Synapses
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Feedforward Categorization on AER Motion Events Using Cortex-Like Features in a Spiking Neural Network.

IEEE transactions on neural networks and learning systems Oct 22, 2014
This paper introduces an event-driven feedforward categorization system, which takes data from a temporal contrast address event representation (AER) sensor. The proposed system extracts bio-inspired cortex-like features and discriminates different p...
Humans Action Potentials Neurons Motion Neural Networks, Computer Models, Neurological Cerebral Cortex Nerve Net
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Extracellular spike detection from multiple electrode array using novel intelligent filter and ensemble fuzzy decision making.

Journal of neuroscience methods Oct 18, 2014
BACKGROUND: The information obtained from signal recorded with extracellular electrodes is essential in many research fields with scientific and clinical applications. These signals are usually considered as a point process and a spike detection meth...
Action Potentials Decision Making Fuzzy Logic Neurons Humans Models, Neurological Signal Processing, Computer-Assisted Electrodes Computer Simulation
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Artificial Electrical Morris-Lecar Neuron.

IEEE transactions on neural networks and learning systems Oct 13, 2014
In this paper, an experimental electronic neuron based on a complete Morris-Lecar model is presented, which is able to become an experimental unit tool to study collective association of coupled neurons. The circuit design is given according to the i...
Models, Neurological Humans Nerve Net Neurons Neural Networks, Computer Electricity Electronics
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Synchronization among neuronal pools without common inputs: in vivo study.

Brain structure & function Sep 18, 2014
Periodic synchronization of activity among neuronal pools has been related to substantial neural processes and information throughput in the neocortical network. However, the mechanisms of generating such periodic synchronization among distributed po...
Rats, Wistar Rats Neural Networks, Computer Neurons Animals Cortical Synchronization Neocortex Models, Neurological Action Potentials
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An Experimentation Platform for On-Chip Integration of Analog Neural Networks: A Pathway to Trusted and Robust Analog/RF ICs.

IEEE transactions on neural networks and learning systems Sep 17, 2014
We discuss the design of an experimentation platform intended for prototyping low-cost analog neural networks for on-chip integration with analog/RF circuits. The objective of such integration is to support various tasks, such as self-test, self-tuni...
Neurons Biomimetics Machine Learning Signal Processing, Computer-Assisted Synapses Neural Networks, Computer
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Neural coordination can be enhanced by occasional interruption of normal firing patterns: a self-optimizing spiking neural network model.

Neural networks : the official journal of the International Neural Network Society Sep 16, 2014
The state space of a conventional Hopfield network typically exhibits many different attractors of which only a small subset satisfies constraints between neurons in a globally optimal fashion. It has recently been demonstrated that combining Hebbian...
Neurons Humans Algorithms Neural Networks, Computer Brain Artificial Intelligence Learning
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A Hybrid Constructive Algorithm for Single-Layer Feedforward Networks Learning.

IEEE transactions on neural networks and learning systems Sep 9, 2014
Single-layer feedforward networks (SLFNs) have been proven to be a universal approximator when all the parameters are allowed to be adjustable. It is widely used in classification and regression problems. The SLFN learning involves two tasks: determi...
Least-Squares Analysis Neurons Algorithms Models, Theoretical Neural Networks, Computer Machine Learning
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