AIMC Topic: Neurons

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Analysis of complex neural circuits with nonlinear multidimensional hidden state models.

Proceedings of the National Academy of Sciences of the United States of America May 24, 2016
A universal need in understanding complex networks is the identification of individual information channels and their mutual interactions under different conditions. In neuroscience, our premier example, networks made up of billions of nodes dynamica...
Humans Neural Networks, Computer Male Rats Models, Theoretical Algorithms Brain Animals Markov Chains Rats, Long-Evans Decision Making Neurons
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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...
Neurons Synapses Magnets Neural Networks, Computer Algorithms Models, Neurological
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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...
Algorithms Models, Neurological Action Potentials Neurons Markov Chains Neural Networks, Computer
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All Spin Artificial Neural Networks Based on Compound Spintronic Synapse and Neuron.

IEEE transactions on biomedical circuits and systems May 17, 2016
Artificial synaptic devices implemented by emerging post-CMOS non-volatile memory technologies such as Resistive RAM (RRAM) have made great progress recently. However, it is still a big challenge to fabricate stable and controllable multilevel RRAM. ...
Synapses Magnetics Memory Neural Networks, Computer Neurons Semiconductors
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Intrinsic Plasticity for Natural Competition in Koniocortex-Like Neural Networks.

International journal of neural systems May 16, 2016
In this paper, we use the neural property known as intrinsic plasticity to develop neural network models that resemble the koniocortex, the fourth layer of sensory cortices. These models evolved from a very basic two-layered neural network to a compl...
Thalamus Neural Inhibition Neurons Cerebral Cortex Neural Pathways Models, Neurological Bayes Theorem Neural Networks, Computer Machine Learning Software Algorithms Computer Simulation Neuronal Plasticity Humans
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Memory recall and spike-frequency adaptation.

Physical review. E May 13, 2016
The brain can reproduce memories from partial data; this ability is critical for memory recall. The process of memory recall has been studied using autoassociative networks such as the Hopfield model. This kind of model reliably converges to stored p...
Humans Memory Neural Networks, Computer Behavior Neurons
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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...
Neurons Animals Action Potentials Humans Neural Networks, Computer Brain
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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...
Mushroom Bodies Models, Neurological Action Potentials Decision Making Neural Networks, Computer Learning Animals Computer Simulation Drosophila melanogaster Robotics Perception Neurons Motor Activity Reward
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Parallelizing Backpropagation Neural Network Using MapReduce and Cascading Model.

Computational intelligence and neuroscience Apr 27, 2016
Artificial Neural Network (ANN) is a widely used algorithm in pattern recognition, classification, and prediction fields. Among a number of neural networks, backpropagation neural network (BPNN) has become the most famous one due to its remarkable fu...
Models, Theoretical Models, Neurological Machine Learning Humans Neurons Algorithms Neural Networks, Computer Computer Simulation
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Correlations and Neuronal Population Information.

Annual review of neuroscience Apr 21, 2016
Brain function involves the activity of neuronal populations. Much recent effort has been devoted to measuring the activity of neuronal populations in different parts of the brain under various experimental conditions. Population activity patterns co...
Models, Neurological Action Potentials Neurons Statistics as Topic Artificial Intelligence Brain Animals Humans
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