AIMC Topic:
Neurons

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Closed-Loop Systems and In Vitro Neuronal Cultures: Overview and Applications.

Advances in neurobiology Jan 1, 2019
One of the main limitations preventing the realization of a successful dialogue between the brain and a putative enabling device is the intricacy of brain signals. In this perspective, closed-loop in vitro systems can be used to investigate the inter...
Humans Robotics Neurons Cell Culture Techniques Nerve Net Neural Networks, Computer Brain In Vitro Techniques
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Recent Progress on Neuromorphic Synapse Electronics: From Emerging Materials, Devices, to Neural Networks.

Journal of nanoscience and nanotechnology Dec 1, 2018
To realize intelligent functions in electronic devices like a human brain, it is important to develop the electronic devices that can imitate biological neurons and synapses (synaptic electronics). In this paper, we review the critical learning mecha...
Electronics Synapses Neural Networks, Computer Neuronal Plasticity Neurons Humans
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Three-dimensional direct laser writing of biomimetic neuron structures.

Optics express Nov 26, 2018
Building biomimetic neuron structures that emulate the topological features of biological neural networks at multiple scales has been an active area in neuron cell culturing, neuron-chip interface and computer chip design. However, due to the fact th...
Computer-Aided Design Neurons Nanostructures Neural Networks, Computer Lasers Biomimetic Materials
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Attractor dynamics of a Boolean model of a brain circuit controlled by multiple parameters.

Chaos (Woodbury, N.Y.) Oct 1, 2018
Studies of Boolean recurrent neural networks are briefly introduced with an emphasis on the attractor dynamics determined by the sequence of distinct attractors observed in the limit cycles. We apply this framework to a simplified model of the basal ...
Neural Networks, Computer Software Algorithms Brain Computer Simulation Neurons Humans Feedback Nonlinear Dynamics Animals Basal Ganglia Models, Theoretical Neuronal Plasticity
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Propagation delays determine neuronal activity and synaptic connectivity patterns emerging in plastic neuronal networks.

Chaos (Woodbury, N.Y.) Oct 1, 2018
In plastic neuronal networks, the synaptic strengths are adapted to the neuronal activity. Specifically, spike-timing-dependent plasticity (STDP) is a fundamental mechanism that modifies the synaptic strengths based on the relative timing of pre- and...
Synapses Nerve Net Normal Distribution Oscillometry Synaptic Transmission Neurons Dendrites Humans Axons Models, Neurological Neural Networks, Computer Nonlinear Dynamics Action Potentials Algorithms Plastics Time Factors Neuronal Plasticity Brain Computer Simulation
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Global firing rate contrast enhancement in E/I neuronal networks by recurrent synchronized inhibition.

Chaos (Woodbury, N.Y.) Oct 1, 2018
Inhibitory synchronization is commonly observed and may play some important functional roles in excitatory/inhibitory (E/I) neuronal networks. The firing rate contrast enhancement is a general feature of information processing in sensory pathways, an...
Models, Neurological Action Potentials Neurons Humans Neural Networks, Computer Animals Neural Inhibition Sensory Receptor Cells Synapses Electronic Data Processing Synaptic Transmission
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Large-scale Exploration of Neuronal Morphologies Using Deep Learning and Augmented Reality.

Neuroinformatics Oct 1, 2018
Recently released large-scale neuron morphological data has greatly facilitated the research in neuroinformatics. However, the sheer volume and complexity of these data pose significant challenges for efficient and accurate neuron exploration. In thi...
Humans Neural Networks, Computer Neurons Databases, Factual Random Allocation Deep Learning Imaging, Three-Dimensional
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Spiking Neural Networks with Unsupervised Learning Based on STDP Using Resistive Synaptic Devices and Analog CMOS Neuron Circuit.

Journal of nanoscience and nanotechnology Sep 1, 2018
We designed the CMOS analog integrate and fire (I&F) neuron circuit can drive resistive synaptic device. The neuron circuit consists of a current mirror for spatial integration, a capacitor for temporal integration, asymmetric negative and positive p...
Unsupervised Machine Learning Neurons Neural Networks, Computer Neuronal Plasticity Models, Neurological
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Working Memory: Delay Activity, Yes! Persistent Activity? Maybe Not.

The Journal of neuroscience : the official journal of the Society for Neuroscience Aug 8, 2018
Persistent spiking has been thought to underlie working memory (WM). However, virtually all of the evidence for this comes from studies that averaged spiking across time and across trials, which masks the details. On single trials, activity often occ...
Action Potentials Memory, Short-Term Neurons Research Design Animals Humans Time Factors Neural Networks, Computer Haplorhini Fixation, Ocular Gamma Rhythm Saccades Energy Metabolism Cerebral Cortex Nerve Net
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Computational Principles of Supervised Learning in the Cerebellum.

Annual review of neuroscience Jul 8, 2018
Supervised learning plays a key role in the operation of many biological and artificial neural networks. Analysis of the computations underlying supervised learning is facilitated by the relatively simple and uniform architecture of the cerebellum, a...
Supervised Machine Learning Time Factors Nerve Net Humans Neurons Neuronal Plasticity Algorithms Cerebellum Animals Models, Neurological
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