AIMC Topic: Synapses

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: High-Throughput Quantification of Fluorescent Synaptic Protein Puncta by Machine Learning.

eNeuro Dec 6, 2017
Synapse formation analyses can be performed by imaging and quantifying fluorescent signals of synaptic markers. Traditionally, these analyses are done using simple or multiple thresholding and segmentation approaches or by labor-intensive manual anal...
Humans Animals Image Processing, Computer-Assisted Mice Synapses Machine Learning Software Algorithms Cells, Cultured High-Throughput Screening Assays
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Modeling mesoscopic cortical dynamics using a mean-field model of conductance-based networks of adaptive exponential integrate-and-fire neurons.

Journal of computational neuroscience Nov 15, 2017
Voltage-sensitive dye imaging (VSDi) has revealed fundamental properties of neocortical processing at macroscopic scales. Since for each pixel VSDi signals report the average membrane potential over hundreds of neurons, it seems natural to use a mean...
Synapses Male Cerebral Cortex Nerve Net Photic Stimulation Neural Networks, Computer Models, Neurological Macaca mulatta Neurons Animals Membrane Potentials Nonlinear Dynamics Voltage-Sensitive Dye Imaging
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The role of neuron-glia interactions in the emergence of ultra-slow oscillations.

Biological cybernetics Nov 11, 2017
Ultra-slow cortical oscillatory activity of 1-100 mHz has been recorded in human by electroencephalography and in dissociated cultures of cortical rat neurons, but the underlying mechanisms remain to be elucidated. This study presents a computational...
Time Factors Rats, Wistar Rats Action Potentials Algorithms Cells, Cultured Animals Synapses Cerebral Cortex Nerve Net Neuroglia Models, Biological Cell Communication Neurons Embryo, Mammalian Neural Networks, Computer
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Mechanism-Based and Input-Output Modeling of the Key Neuronal Connections and Signal Transformations in the CA3-CA1 Regions of the Hippocampus.

Neural computation Oct 24, 2017
This letter examines the results of input-output (nonparametric) modeling based on the analysis of data generated by a mechanism-based (parametric) model of CA3-CA1 neuronal connections in the hippocampus. The motivation is to obtain biological insig...
Receptors, N-Methyl-D-Aspartate CA1 Region, Hippocampal CA3 Region, Hippocampal Receptors, GABA Neural Inhibition Action Potentials Neurons Nonlinear Dynamics Synapses Neural Networks, Computer Animals Models, Neurological Humans
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Stochastic spike synchronization in a small-world neural network with spike-timing-dependent plasticity.

Neural networks : the official journal of the International Neural Network Society Oct 12, 2017
We consider the Watts-Strogatz small-world network (SWN) consisting of subthreshold neurons which exhibit noise-induced spikings. This neuronal network has adaptive dynamic synaptic strengths governed by the spike-timing-dependent plasticity (STDP). ...
Models, Neurological Noise Neurons Synapses Stochastic Processes Electrophysiological Phenomena Long-Term Potentiation Neural Networks, Computer Feedback Neuronal Plasticity
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SNAVA-A real-time multi-FPGA multi-model spiking neural network simulation architecture.

Neural networks : the official journal of the International Neural Network Society Oct 5, 2017
Spiking Neural Networks (SNN) for Versatile Applications (SNAVA) simulation platform is a scalable and programmable parallel architecture that supports real-time, large-scale, multi-model SNN computation. This parallel architecture is implemented in ...
Neurons Nonlinear Dynamics Synapses Algorithms Computational Biology Cluster Analysis Neural Networks, Computer Machine Learning
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Flexible three-dimensional artificial synapse networks with correlated learning and trainable memory capability.

Nature communications Sep 29, 2017
If a three-dimensional physical electronic system emulating synapse networks could be built, that would be a significant step toward neuromorphic computing. However, the fabrication complexity of complementary metal-oxide-semiconductor architectures ...
Humans Synapses Neural Networks, Computer Memory Algorithms Learning Long-Term Potentiation Neuronal Plasticity Models, Neurological Electronics
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Robust spike-train learning in spike-event based weight update.

Neural networks : the official journal of the International Neural Network Society Sep 12, 2017
Supervised learning algorithms in a spiking neural network either learn a spike-train pattern for a single neuron receiving input spike-train from multiple input synapses or learn to output the first spike time in a feedforward network setting. In th...
Action Potentials Supervised Machine Learning Humans Neurons Synapses Neural Networks, Computer Algorithms Models, Neurological
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Synaptic convergence regulates synchronization-dependent spike transfer in feedforward neural networks.

Journal of computational neuroscience Sep 12, 2017
Correlated neural activities such as synchronizations can significantly alter the characteristics of spike transfer between neural layers. However, it is not clear how this synchronization-dependent spike transfer can be affected by the structure of ...
Humans Synaptic Transmission Neural Networks, Computer Computer Simulation Synapses Nerve Net Animals Normal Distribution Models, Neurological Action Potentials Neurons
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Global and local excitation and inhibition shape the dynamics of the cortico-striatal-thalamo-cortical pathway.

Scientific reports Aug 8, 2017
The cortico-striatal-thalamo-cortical (CSTC) pathway is a brain circuit that controls movement execution, habit formation and reward. Hyperactivity in the CSTC pathway is involved in obsessive compulsive disorder (OCD), a neuropsychiatric disorder ch...
Receptors, Dopamine Glutamic Acid Rodentia Connectome Cortical Excitability Corpus Striatum Reward gamma-Aminobutyric Acid Synapses Thalamus Cerebral Cortex Synaptic Transmission Species Specificity Humans GABAergic Neurons Neural Networks, Computer Neural Inhibition Animals
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