AIMC Topic: Action Potentials

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Non-reward neural mechanisms in the orbitofrontal cortex.

Cortex; a journal devoted to the study of the nervous system and behavior Jul 15, 2016
Single neurons in the primate orbitofrontal cortex respond when an expected reward is not obtained, and behaviour must change. The human lateral orbitofrontal cortex is activated when non-reward, or loss occurs. The neuronal computation of this negat...
Neural Networks, Computer Computer Simulation Prefrontal Cortex Humans Neurons Reward Nerve Net Emotions Action Potentials
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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 Action Potentials Neurons Locomotion Humans Neural Networks, Computer Artificial Intelligence Robotics Computer Simulation Neuronal Plasticity
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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...
Models, Neurological Action Potentials Neurons Computer Simulation Animals Nonlinear Dynamics Neural Networks, Computer Algorithms Humans
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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 ...
Computer Simulation Models, Neurological Action Potentials Neural Networks, Computer Neurons
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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...
Microelectrodes Animals Unsupervised Machine Learning Models, Theoretical Rabbits Action Potentials Neurons Computer Simulation Retina Artifacts
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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...
Models, Neurological Action Potentials Computer Simulation Learning Neuronal Plasticity Neural Networks, Computer
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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...
Time Factors Models, Neurological Neurons Action Potentials Neural Networks, Computer
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Mapping Generative Models onto a Network of Digital Spiking Neurons.

IEEE transactions on biomedical circuits and systems May 18, 2016
Stochastic neural networks such as Restricted Boltzmann Machines (RBMs) have been successfully used in applications ranging from speech recognition to image classification, and are particularly interesting because of their potential for generative ta...
Markov Chains Neural Networks, Computer Algorithms Action Potentials Neurons Models, Neurological
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Part 2-The firings of many neurons and their density; the neural network its connections and field of firings.

Neural networks : the official journal of the International Neural Network Society May 9, 2016
This paper is concerned with the firing of many neurons and the synthesis of these firings to develop functions and their transforms which relate chemical and electrical phenomena to the physical world. The density of such functions in the most gener...
Humans Animals Neural Networks, Computer Action Potentials Brain Neurons
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A Fly-Inspired Mushroom Bodies Model for Sensory-Motor Control Through Sequence and Subsequence Learning.

International journal of neural systems Apr 28, 2016
Classification and sequence learning are relevant capabilities used by living beings to extract complex information from the environment for behavioral control. The insect world is full of examples where the presentation time of specific stimuli shap...
Motor Activity Learning Drosophila melanogaster Mushroom Bodies Animals Robotics Perception Neural Networks, Computer Models, Neurological Action Potentials Neurons Computer Simulation Decision Making Reward
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