AIMC Topic: Models, Neurological

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Evolutionary Spiking Neural Networks for Solving Supervised Classification Problems.

Computational intelligence and neuroscience Mar 28, 2019
This paper presents a grammatical evolution (GE)-based methodology to automatically design third generation artificial neural networks (ANNs), also known as spiking neural networks (SNNs), for solving supervised classification problems. The proposal ...
Models, Neurological Action Potentials Problem Solving Neurons Neural Networks, Computer Algorithms
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Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 Prototype.

IEEE transactions on biomedical circuits and systems Mar 27, 2019
Advances in neuroscience uncover the mechanisms employed by the brain to efficiently solve complex learning tasks with very limited resources. However, the efficiency is often lost when one tries to port these findings to a silicon substrate, since b...
Brain Models, Neurological Synapses Machine Learning Software Humans Neural Networks, Computer
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Membrane potential resonance in non-oscillatory neurons interacts with synaptic connectivity to produce network oscillations.

Journal of computational neuroscience Mar 20, 2019
Several neuron types have been shown to exhibit (subthreshold) membrane potential resonance (MPR), defined as the occurrence of a peak in their voltage amplitude response to oscillatory input currents at a preferred (resonant) frequency. MPR has been...
Models, Neurological Neurons Nonlinear Dynamics Humans Neural Networks, Computer Algorithms Neural Pathways Biological Clocks Membrane Potentials Synapses Linear Models
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Resting state connectivity best predicts alcohol use severity in moderate to heavy alcohol users.

NeuroImage. Clinical Mar 19, 2019
BACKGROUND: In the United States, 13% of adults are estimated to have alcohol use disorder (AUD). Most studies examining the neurobiology of AUD treat individuals with this disorder as a homogeneous group; however, the theories of the neurocircuitry ...
Middle Aged Humans Nerve Net Severity of Illness Index Machine Learning Adult Magnetic Resonance Imaging Female Models, Neurological Male Young Adult Alcoholism Connectome
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Scalable Digital Neuromorphic Architecture for Large-Scale Biophysically Meaningful Neural Network With Multi-Compartment Neurons.

IEEE transactions on neural networks and learning systems Mar 18, 2019
Multicompartment emulation is an essential step to enhance the biological realism of neuromorphic systems and to further understand the computational power of neurons. In this paper, we present a hardware efficient, scalable, and real-time computing ...
Neural Networks, Computer Models, Neurological Algorithms Neurons Computers Computer Simulation Computer Systems
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Characterisation of nonlinear receptive fields of visual neurons by convolutional neural network.

Scientific reports Mar 7, 2019
A comprehensive understanding of the stimulus-response properties of individual neurons is necessary to crack the neural code of sensory cortices. However, a barrier to achieving this goal is the difficulty of analysing the nonlinearity of neuronal r...
Neural Networks, Computer Animals Male Photic Stimulation Visual Cortex Sensory Receptor Cells Models, Neurological Mice, Inbred C57BL Nonlinear Dynamics
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Understanding of proton induced synaptic behaviors in three-terminal synapse device for neuromorphic systems.

Nanotechnology Feb 28, 2019
In this study, we investigate a proton-based three-terminal (3-T) synapse device to realize linear weight-update and I-V linearity characteristics for neuromorphic systems. The conductance states of the 3-T synapse device can be controlled by modulat...
Neural Networks, Computer Models, Neurological Silicon Dioxide Synapses Protons Linear Models
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Multifocus Image Fusion Using Wavelet-Domain-Based Deep CNN.

Computational intelligence and neuroscience Feb 20, 2019
Multifocus image fusion is the merging of images of the same scene and having multiple different foci into one all-focus image. Most existing fusion algorithms extract high-frequency information by designing local filters and then adopt different fus...
Humans Neural Networks, Computer Models, Neurological Neurons Wavelet Analysis Algorithms Image Processing, Computer-Assisted
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A coarse-graining framework for spiking neuronal networks: from strongly-coupled conductance-based integrate-and-fire neurons to augmented systems of ODEs.

Journal of computational neuroscience Feb 16, 2019
Homogeneously structured, fluctuation-driven networks of spiking neurons can exhibit a wide variety of dynamical behaviors, ranging from homogeneity to synchrony. We extend our partitioned-ensemble average (PEA) formalism proposed in Zhang et al. (Jo...
Models, Neurological Neurons Nerve Net Entropy Neural Conduction Neural Networks, Computer Humans Electrophysiological Phenomena Algorithms Computer Simulation
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Design and Implementation of a Novel Subject-Specific Neurofeedback Evaluation and Treatment System.

Annals of biomedical engineering Feb 15, 2019
Electroencephalography (EEG)-based neurofeedback (NF) is a safe, non-invasive, non-painful method for treating various conditions. Current NF systems enable the selection of only one NF parameter, so that two parameters cannot be feedback simultaneou...
Signal Processing, Computer-Assisted Neurofeedback Brain Waves Female Male Models, Neurological Humans Machine Learning
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