AIMC Topic: Neurons

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3D Neuron Reconstruction in Tangled Neuronal Image With Deep Networks.

IEEE transactions on medical imaging Jul 9, 2019
Digital reconstruction or tracing of 3D neuron is essential for understanding the brain functions. While existing automatic tracing algorithms work well for the clean neuronal image with a single neuron, they are not robust to trace the neuron surrou...
Humans Animals Deep Learning Imaging, Three-Dimensional Algorithms Brain Microscopy Nerve Fibers Mice Neurons
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Indirect and direct training of spiking neural networks for end-to-end control of a lane-keeping vehicle.

Neural networks : the official journal of the International Neural Network Society Jul 9, 2019
Building spiking neural networks (SNNs) based on biological synaptic plasticities holds a promising potential for accomplishing fast and energy-efficient computing, which is beneficial to mobile robotic applications. However, the implementations of S...
Neurons Reinforcement, Psychology Neuronal Plasticity Robotics Neural Networks, Computer Algorithms
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Robust Associative Learning Is Sufficient to Explain the Structural and Dynamical Properties of Local Cortical Circuits.

The Journal of neuroscience : the official journal of the Society for Neuroscience Jul 3, 2019
The ability of neural networks to associate successive states of network activity lies at the basis of many cognitive functions. Hence, we hypothesized that many ubiquitous structural and dynamical properties of local cortical networks result from as...
Association Learning Memory Conditioning, Classical Neural Networks, Computer Models, Neurological Action Potentials Neurons Synapses
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Approximating the Architecture of Visual Cortex in a Convolutional Network.

Neural computation Jul 1, 2019
Deep convolutional neural networks (CNNs) have certain structural, mechanistic, representational, and functional parallels with primate visual cortex and also many differences. However, perhaps some of the differences can be reconciled. This study de...
Neural Networks, Computer Neural Pathways Models, Neurological Animals Visual Cortex Neurons Macaca
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Figure-Ground Organization in Natural Scenes: Performance of a Recurrent Neural Model Compared with Neurons of Area V2.

eNeuro Jun 28, 2019
A crucial step in understanding visual input is its organization into meaningful components, in particular object contours and partially occluded background structures. This requires that all contours are assigned to either the foreground or the back...
Visual Cortex Humans Form Perception Models, Neurological Photic Stimulation Neurons Neural Networks, Computer Pattern Recognition, Visual
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Prototyping a memristive-based device to analyze neuronal excitability.

Biophysical chemistry Jun 24, 2019
Many efforts have been spent in the last decade for the development of nanoscale synaptic devices integrated into neuromorphic circuits, trying to emulate the behavior of natural synapses. The study of brain properties with the standard approaches ba...
Synapses Tumor Cells, Cultured Neurons Neural Networks, Computer Electrodes Animals Mice Electronics
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Training Spiking Neural Networks for Cognitive Tasks: A Versatile Framework Compatible With Various Temporal Codes.

IEEE transactions on neural networks and learning systems Jun 21, 2019
Recent studies have demonstrated the effectiveness of supervised learning in spiking neural networks (SNNs). A trainable SNN provides a valuable tool not only for engineering applications but also for theoretical neuroscience studies. Here, we propos...
Neural Networks, Computer Machine Learning Humans Action Potentials Neurons Algorithms Psychomotor Performance Cognition
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Learning cellular morphology with neural networks.

Nature communications Jun 21, 2019
Reconstruction and annotation of volume electron microscopy data sets of brain tissue is challenging but can reveal invaluable information about neuronal circuits. Significant progress has recently been made in automated neuron reconstruction as well...
Datasets as Topic Neural Networks, Computer Microscopy, Electron Algorithms Animals Passeriformes Neurons Male Image Processing, Computer-Assisted Synapses Feasibility Studies Brain
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Biologically plausible deep learning - But how far can we go with shallow networks?

Neural networks : the official journal of the International Neural Network Society Jun 20, 2019
Training deep neural networks with the error backpropagation algorithm is considered implausible from a biological perspective. Numerous recent publications suggest elaborate models for biologically plausible variants of deep learning, typically defi...
Deep Learning Neurons Neural Networks, Computer Algorithms
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On Ev-Degree and Ve-Degree Topological Properties of Tickysim Spiking Neural Network.

Computational intelligence and neuroscience Jun 2, 2019
Topological indices are indispensable tools for analyzing networks to understand the underlying topology of these networks. Spiking neural network architecture (SpiNNaker or TSNN) is a million-core calculating engine which aims at simulating the beha...
Nerve Net Models, Neurological Neurons Neural Networks, Computer Computer Simulation
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