AIMC Topic: Neurons

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Network structure of cascading neural systems predicts stimulus propagation and recovery.

Journal of neural engineering Nov 4, 2020
OBJECTIVE: Many neural systems display spontaneous, spatiotemporal patterns of neural activity that are crucial for information processing. While these cascading patterns presumably arise from the underlying network of synaptic connections between ne...
Action Potentials Neurons Nerve Net Neural Networks, Computer Models, Neurological
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Optical Axons for Electro-Optical Neural Networks.

Sensors (Basel, Switzerland) Oct 27, 2020
Recently, neuromorphic sensors, which convert analogue signals to spiking frequencies, have ‎been reported for neurorobotics. In bio-inspired systems these sensors are connected to the main neural unit to perform ‎post-processing of the sensor data. ...
Neural Networks, Computer Synapses Optics and Photonics Neurons Axons
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Pattern Recognition of Spiking Neural Networks Based on Visual Mechanism and Supervised Synaptic Learning.

Neural plasticity Oct 27, 2020
Electrophysiological studies have shown that mammalian primary visual cortex are selective for the orientations of visual stimuli. Inspired by this mechanism, we propose a hierarchical spiking neural network (SNN) for image classification. Grayscale ...
Supervised Machine Learning Neurons Models, Neurological Humans Synapses Pattern Recognition, Automated Action Potentials Neural Networks, Computer
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Compressing Deep Networks by Neuron Agglomerative Clustering.

Sensors (Basel, Switzerland) Oct 23, 2020
In recent years, deep learning models have achieved remarkable successes in various applications, such as pattern recognition, computer vision, and signal processing. However, high-performance deep architectures are often accompanied by a large stora...
Neural Networks, Computer Algorithms Neurons Data Compression Cluster Analysis
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Early Emergence of Solid Shape Coding in Natural and Deep Network Vision.

Current biology : CB Oct 22, 2020
Area V4 is the first object-specific processing stage in the ventral visual pathway, just as area MT is the first motion-specific processing stage in the dorsal pathway. For almost 50 years, coding of object shape in V4 has been studied and conceived...
Intravital Microscopy Microscopy, Fluorescence, Multiphoton Form Perception Visual Pathways Neurons Photic Stimulation Deep Learning Visual Cortex Macaca mulatta Animals Models, Neurological Electrodes, Implanted Male Electroencephalography
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Spiking neural state machine for gait frequency entrainment in a flexible modular robot.

PloS one Oct 21, 2020
We propose a modular architecture for neuromorphic closed-loop control based on bistable relaxation oscillator modules consisting of three spiking neurons each. Like its biological prototypes, this basic component is robust to parameter variation but...
Animals Models, Neurological Robotics Humans Neurons Neural Networks, Computer Walking Algorithms Locomotion Gait
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Redundancy-Aware Pruning of Convolutional Neural Networks.

Neural computation Oct 20, 2020
Pruning is an effective way to slim and speed up convolutional neural networks. Generally previous work directly pruned neural networks in the original feature space without considering the correlation of neurons. We argue that such a way of pruning ...
Humans Neural Networks, Computer Animals Neurons
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Structural plasticity on an accelerated analog neuromorphic hardware system.

Neural networks : the official journal of the International Neural Network Society Oct 12, 2020
In computational neuroscience, as well as in machine learning, neuromorphic devices promise an accelerated and scalable alternative to neural network simulations. Their neural connectivity and synaptic capacity depend on their specific design choices...
Synapses Neuronal Plasticity Neurons Humans Neural Networks, Computer Algorithms Computers Machine Learning
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The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks.

PLoS computational biology Oct 12, 2020
Learning in neuronal networks has developed in many directions, in particular to reproduce cognitive tasks like image recognition and speech processing. Implementations have been inspired by stereotypical neuronal responses like tuning curves in the ...
Humans Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Computational Biology Neurons Databases, Factual Learning Models, Neurological Computer Simulation Animals
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Robust parallel decision-making in neural circuits with nonlinear inhibition.

Proceedings of the National Academy of Sciences of the United States of America Oct 2, 2020
An elemental computation in the brain is to identify the best in a set of options and report its value. It is required for inference, decision-making, optimization, action selection, consensus, and foraging. Neural computing is considered powerful be...
Neurons Nonlinear Dynamics Nerve Net Models, Neurological Neural Networks, Computer Decision Making
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