AIMC Topic: Neurons

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DeTerm: Software for automatic detection of neuronal dendritic branch terminals via an artificial neural network.

Genes to cells : devoted to molecular & cellular mechanisms May 28, 2019
Dendrites of neurons receive and process synaptic or sensory inputs. The Drosophila class IV dendritic arborization (da) neuron is an established model system to explore molecular mechanisms of dendrite morphogenesis. The total number of dendritic br...
Purkinje Cells Mice Neurons Cerebellum Drosophila Dendrites Drosophila Proteins Neurogenesis Software Animals Larva Neural Networks, Computer
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Spatiotemporal discrimination in attractor networks with short-term synaptic plasticity.

Journal of computational neuroscience May 27, 2019
We demonstrate that a randomly connected attractor network with dynamic synapses can discriminate between similar sequences containing multiple stimuli suggesting such networks provide a general basis for neural computations in the brain. The network...
Neural Networks, Computer Machine Learning Humans Synapses Neural Pathways Algorithms Mental Recall Computer Simulation Decision Making Animals Electrophysiological Phenomena Neurons Long-Term Synaptic Depression Cognition Neuronal Plasticity
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Neural network model of an amphibian ventilatory central pattern generator.

Journal of computational neuroscience May 22, 2019
The neuronal multiunit model presented here is a formal model of the central pattern generator (CPG) of the amphibian ventilatory neural network, inspired by experimental data from Pelophylax ridibundus. The kernel of the CPG consists of three pacema...
Central Pattern Generators Motor Neurons Biological Clocks Amphibians Ranidae Electrophysiological Phenomena Ganglia, Invertebrate Acidosis Neural Inhibition Metamorphosis, Biological Neural Networks, Computer Lung Animals Neurons Cheek Synapses
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A Reservoir Computing Model of Reward-Modulated Motor Learning and Automaticity.

Neural computation May 21, 2019
Reservoir computing is a biologically inspired class of learning algorithms in which the intrinsic dynamics of a recurrent neural network are mined to produce target time series. Most existing reservoir computing algorithms rely on fully supervised l...
Reward Nerve Net Computer Simulation Reinforcement, Psychology Models, Neurological Humans Neuronal Plasticity Neurons Neural Networks, Computer
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Anti-Synchronization in Fixed Time for Discontinuous Reaction-Diffusion Neural Networks With Time-Varying Coefficients and Time Delay.

IEEE transactions on cybernetics May 16, 2019
This paper studies the fixed-time anti-synchronization (FTAS) of discontinuous reaction-diffusion neural networks (DRDNNs) with both time-varying coefficients and time delay. First, differential inclusion theory is used to deal with the influence cau...
Feedback Animals Time Factors Models, Neurological Neural Networks, Computer Algorithms Neurons
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DoGNet: A deep architecture for synapse detection in multiplexed fluorescence images.

PLoS computational biology May 13, 2019
Neuronal synapses transmit electrochemical signals between cells through the coordinated action of presynaptic vesicles, ion channels, scaffolding and adapter proteins, and membrane receptors. In situ structural characterization of numerous synaptic ...
Microscopy, Fluorescence, Multiphoton Computational Biology Models, Neurological Nerve Tissue Proteins Cerebral Cortex Computer Simulation Synaptic Transmission Animals Image Processing, Computer-Assisted Neurons Mice Neural Networks, Computer Synapses Software Databases, Factual
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Number detectors spontaneously emerge in a deep neural network designed for visual object recognition.

Science advances May 8, 2019
Humans and animals have a "number sense," an innate capability to intuitively assess the number of visual items in a set, its numerosity. This capability implies that mechanisms to extract numerosity indwell the brain's visual system, which is primar...
Animals Models, Biological Neurons Visual Perception Humans Neural Networks, Computer
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All-optical spiking neurosynaptic networks with self-learning capabilities.

Nature May 8, 2019
Software implementations of brain-inspired computing underlie many important computational tasks, from image processing to speech recognition, artificial intelligence and deep learning applications. Yet, unlike real neural tissue, traditional computi...
Computer Systems Models, Neurological Action Potentials Unsupervised Machine Learning Neural Networks, Computer Computers Synapses Pattern Recognition, Automated Nerve Net Photons Supervised Machine Learning Neurons Biomimetics
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A neural network-evolutionary computational framework for remaining useful life estimation of mechanical systems.

Neural networks : the official journal of the International Neural Network Society May 4, 2019
This paper presents a framework for estimating the remaining useful life (RUL) of mechanical systems. The framework consists of a multi-layer perceptron and an evolutionary algorithm for optimizing the data-related parameters. The framework makes use...
Linear Models Biological Evolution Databases, Factual Neurons Neural Networks, Computer Algorithms
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Discrimination of Motion Direction in a Robot Using a Phenomenological Model of Synaptic Plasticity.

Computational intelligence and neuroscience May 2, 2019
Recognizing and tracking the direction of moving stimuli is crucial to the control of much animal behaviour. In this study, we examine whether a bio-inspired model of synaptic plasticity implemented in a robotic agent may allow the discrimination of ...
Visual Perception Visual Cortex Motion Perception Animals Neurons Orientation Neuronal Plasticity Motion Robotics Evoked Potentials, Visual
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