AIMC Topic: Models, Neurological

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Bio-inspired visual self-localization in real world scenarios using Slow Feature Analysis.

PloS one Sep 21, 2018
We present a biologically motivated model for visual self-localization which extracts a spatial representation of the environment directly from high dimensional image data by employing a single unsupervised learning rule. The resulting representation...
Orientation, Spatial Models, Neurological Unsupervised Machine Learning Hippocampus Neural Networks, Computer Animals Computer Simulation Models, Psychological User-Computer Interface Robotics
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Abstract concept learning in a simple neural network inspired by the insect brain.

PLoS computational biology Sep 17, 2018
The capacity to learn abstract concepts such as 'sameness' and 'difference' is considered a higher-order cognitive function, typically thought to be dependent on top-down neocortical processing. It is therefore surprising that honey bees apparantly h...
Learning Animals Cognition Brain Computer Simulation Probability Bees Behavior, Animal Models, Neurological Odorants Machine Learning Software Neural Networks, Computer Mushroom Bodies
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Learning of spatiotemporal patterns in a spiking neural network with resistive switching synapses.

Science advances Sep 12, 2018
The human brain is a complex integrated spatiotemporal system, where space (which neuron fires) and time (when a neuron fires) both carry information to be processed by cognitive functions. To parallel the energy efficiency and computing functionalit...
Spatio-Temporal Analysis Models, Neurological Neural Networks, Computer Algorithms Neurons Sound Humans Brain Synapses
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Digital Multiplierless Realization of Coupled Wilson Neuron Model.

IEEE transactions on biomedical circuits and systems Sep 10, 2018
The human brain is composed of 10 neurons with a switching speed of about 1 ms. Studying spiking neural networks, including the modeling, simulation, and implementation of the biological neuron models, helps us to learn about the brain and the relate...
Brain Humans Models, Neurological Neural Networks, Computer Neurons
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Evaluating (and Improving) the Correspondence Between Deep Neural Networks and Human Representations.

Cognitive science Sep 3, 2018
Decades of psychological research have been aimed at modeling how people learn features and categories. The empirical validation of these theories is often based on artificial stimuli with simple representations. Recently, deep neural networks have r...
Learning Models, Neurological Photic Stimulation Humans Neural Networks, Computer
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Toward Fast Neural Computing using All-Photonic Phase Change Spiking Neurons.

Scientific reports Aug 28, 2018
The rapid growth of brain-inspired computing coupled with the inefficiencies in the CMOS implementations of neuromrphic systems has led to intense exploration of efficient hardware implementations of the functional units of the brain, namely, neurons...
Neurons Nerve Net Photons Humans Neural Networks, Computer Models, Neurological
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Domain Wall Motion-Based Dual-Threshold Activation Unit for Low-Power Classification of Non-Linearly Separable Functions.

IEEE transactions on biomedical circuits and systems Aug 27, 2018
Recently, a great deal of scientific endeavour has been devoted to developing spin-based neuromorphic platforms owing to the ultra-low-power benefits offered by spin devices and the inherent correspondence between spintronic phenomena and the desired...
Algorithms Databases, Factual Models, Neurological Humans Equipment Design Neural Networks, Computer Neurons
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Monostable multivibrators as novel artificial neurons.

Neural networks : the official journal of the International Neural Network Society Aug 23, 2018
Retriggerable and non-retriggerable monostable multivibrators are simple timers with a single characteristic, their period. Motivated by the fact that monostable multivibrators are implementable in large quantities as counters in digital programmable...
Models, Neurological Neurons Neural Networks, Computer Memory
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Handwritten-Digit Recognition by Hybrid Convolutional Neural Network based on HfO Memristive Spiking-Neuron.

Scientific reports Aug 22, 2018
Although there is a huge progress in complementary-metal-oxide-semiconductor (CMOS) technology, construction of an artificial neural network using CMOS technology to realize the functionality comparable with that of human cerebral cortex containing 1...
Humans Neural Networks, Computer Neurons Brain Semiconductors Models, Neurological Handwriting
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Application of chaos in a recurrent neural network to control in ill-posed problems: a novel autonomous robot arm.

Biological cybernetics Aug 20, 2018
Inspired by a viewpoint that complex/chaotic dynamics would play an important role in biological systems including the brain, chaotic dynamics introduced in a recurrent neural network was applied to robot control in ill-posed situations. By computer ...
Range of Motion, Articular Nerve Net Arm Nonlinear Dynamics Hand Strength Robotics Humans Neural Networks, Computer Computer Simulation Models, Neurological Computers
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