AIMC Topic: Neurons

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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 ...
Models, Neurological Neural Networks, Computer Neurons Algorithms Computer Simulation Computer Systems Computers
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Automatic ground truth for deep learning stereology of immunostained neurons and microglia in mouse neocortex.

Journal of chemical neuroanatomy Mar 2, 2019
Collection of unbiased stereology data currently relies on relatively simple, low throughput technology developed in the mid-1990s. In an effort to improve the accuracy and efficiency of these integrated hardware-software-digital microscopy systems, ...
Animals Deep Learning Image Processing, Computer-Assisted Neurons Histological Techniques Neocortex Microglia Cell Count Mice
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Arabic Sentiment Classification Using Convolutional Neural Network and Differential Evolution Algorithm.

Computational intelligence and neuroscience Feb 26, 2019
In recent years, convolutional neural network (CNN) has attracted considerable attention since its impressive performance in various applications, such as Arabic sentence classification. However, building a powerful CNN for Arabic sentiment classific...
Neural Networks, Computer Algorithms Computer Simulation Humans Neurons Language Reproducibility of Results
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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...
Models, Neurological Humans Neurons Wavelet Analysis Neural Networks, Computer Algorithms Image Processing, Computer-Assisted
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Normalization and pooling in hierarchical models of natural images.

Current opinion in neurobiology Feb 18, 2019
Divisive normalization and subunit pooling are two canonical classes of computation that have become widely used in descriptive (what) models of visual cortical processing. Normative (why) models from natural image statistics can help constrain the f...
Neural Networks, Computer Neurons
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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...
Neural Conduction Electrophysiological Phenomena Nerve Net Entropy Neural Networks, Computer Algorithms Models, Neurological Neurons Computer Simulation Humans
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Extracellular GABA assisting in organizing dynamic cell assemblies to shorten reaction time to sensory stimulation.

Biological cybernetics Feb 12, 2019
Until recently, glia, which exceeds the number of neurons, was considered to only have supportive roles in the central nervous system, providing homeostatic controls and metabolic supports. However, recent studies suggest that glia interacts with neu...
Neural Networks, Computer Animals Models, Neurological Humans Neurons Reaction Time gamma-Aminobutyric Acid Cell Communication Neuroglia
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Network structure and input integration in competing firing rate models for decision-making.

Journal of computational neuroscience Jan 19, 2019
Making a decision among numerous alternatives is a pervasive and central undertaking encountered by mammals in natural settings. While decision making for two-option tasks has been studied extensively both experimentally and theoretically, characteri...
Humans Neural Networks, Computer Computer Simulation Nonlinear Dynamics Models, Neurological Decision Making Synapses Algorithms Neurons Electrophysiological Phenomena
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An Efficient Population Density Method for Modeling Neural Networks with Synaptic Dynamics Manifesting Finite Relaxation Time and Short-Term Plasticity.

eNeuro Jan 17, 2019
When incorporating more realistic synaptic dynamics, the computational efficiency of population density methods (PDMs) declines sharply due to the increase in the dimension of master equations. To avoid such a decline, we develop an efficient PDM, te...
Population Density Neuronal Plasticity Neurons Humans Action Potentials Models, Neurological Computer Simulation Animals Nonlinear Dynamics Neural Networks, Computer Time Factors
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Task representations in neural networks trained to perform many cognitive tasks.

Nature neuroscience Jan 14, 2019
The brain has the ability to flexibly perform many tasks, but the underlying mechanism cannot be elucidated in traditional experimental and modeling studies designed for one task at a time. Here, we trained single network models to perform 20 cogniti...
Memory, Short-Term Neural Networks, Computer Neurons Brain Models, Neurological Humans Decision Making Learning Computer Simulation Cognition
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