AIMC Topic: Neurons

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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 Cerebral Cortex Nerve Net Action Potentials Neurons Motion Neural Networks, Computer Models, Neurological
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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...
Electrodes Fuzzy Logic Humans Models, Neurological Computer Simulation Action Potentials Decision Making Signal Processing, Computer-Assisted Neurons
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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...
Electronics Nerve Net Electricity Humans Neural Networks, Computer Models, Neurological Neurons
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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...
Neural Networks, Computer Animals Rats, Wistar Neurons Rats Cortical Synchronization Models, Neurological Neocortex 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...
Biomimetics Synapses Signal Processing, Computer-Assisted Neurons Neural Networks, Computer Machine Learning
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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...
Artificial Intelligence Humans Neural Networks, Computer Algorithms Learning Brain Neurons
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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...
Neural Networks, Computer Least-Squares Analysis Neurons Machine Learning Algorithms Models, Theoretical
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On Equivalence of FIS and ELM for Interpretable Rule-Based Knowledge Representation.

IEEE transactions on neural networks and learning systems Aug 13, 2014
This paper presents a fuzzy extreme learning machine (F-ELM) that embeds fuzzy membership functions and rules into the hidden layer of extreme learning machine (ELM). Similar to the concept of ELM that employed the random initialization technique, th...
Feedback Neural Networks, Computer Fuzzy Logic Artificial Intelligence Benchmarking Databases, Factual Models, Statistical Machine Learning Neurons Algorithms Power Plants Reproducibility of Results Classification
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A hierarchical model of goal directed navigation selects trajectories in a visual environment.

Neurobiology of learning and memory Jul 29, 2014
We have developed a Hierarchical Look-Ahead Trajectory Model (HiLAM) that incorporates the firing pattern of medial entorhinal grid cells in a planning circuit that includes interactions with hippocampus and prefrontal cortex. We show the model's fle...
Prefrontal Cortex Models, Neurological Robotics Algorithms Spatial Navigation Animals Visual Perception Motion Perception Environment Recognition, Psychology Entorhinal Cortex Neurons Hippocampus Goals Humans Neural Networks, Computer
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Is extreme learning machine feasible? A theoretical assessment (part II).

IEEE transactions on neural networks and learning systems Jul 23, 2014
An extreme learning machine (ELM) can be regarded as a two-stage feed-forward neural network (FNN) learning system that randomly assigns the connections with and within hidden neurons in the first stage and tunes the connections with output neurons i...
Artificial Intelligence Algorithms Computer Simulation Learning Models, Neurological Neurons Humans Neural Networks, Computer Probability
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