AIMC Topic: Neurons

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A Highly Effective and Robust Membrane Potential-Driven Supervised Learning Method for Spiking Neurons.

IEEE transactions on neural networks and learning systems May 28, 2018
Spiking neurons are becoming increasingly popular owing to their biological plausibility and promising computational properties. Unlike traditional rate-based neural models, spiking neurons encode information in the temporal patterns of the transmitt...
Action Potentials Supervised Machine Learning Neurons Membrane Potentials Humans Neural Networks, Computer
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Large Scale Image Segmentation with Structured Loss Based Deep Learning for Connectome Reconstruction.

IEEE transactions on pattern analysis and machine intelligence May 24, 2018
We present a method combining affinity prediction with region agglomeration, which improves significantly upon the state of the art of neuron segmentation from electron microscopy (EM) in accuracy and scalability. Our method consists of a 3D U-Net, t...
Deep Learning Microscopy, Electron Algorithms Imaging, Three-Dimensional Connectome Image Processing, Computer-Assisted Animals Nerve Net Drosophila Mice Neurons Cerebral Cortex
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The characteristic patterns of neuronal avalanches in mice under anesthesia and at rest: An investigation using constrained artificial neural networks.

PloS one May 24, 2018
Local perturbations within complex dynamical systems can trigger cascade-like events that spread across significant portions of the system. Cascades of this type have been observed across a broad range of scales in the brain. Studies of these cascade...
Cerebral Cortex Microelectrodes Neural Networks, Computer Wakefulness Models, Neurological Animals Anesthesia Action Potentials Rest Neurons Mice
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Behavioral Learning in a Cognitive Neuromorphic Robot: An Integrative Approach.

IEEE transactions on neural networks and learning systems May 2, 2018
We present here a learning system using the iCub humanoid robot and the SpiNNaker neuromorphic chip to solve the real-world task of object-specific attention. Integrating spiking neural networks with robots introduces considerable complexity for ques...
Neural Networks, Computer Learning Cognition Humans Photic Stimulation Models, Neurological Action Potentials Robotics Neurons Attention Motivation
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Structured networks support sparse traveling waves in rodent somatosensory cortex.

Proceedings of the National Academy of Sciences of the United States of America Apr 30, 2018
Neurons responding to different whiskers are spatially intermixed in the superficial layer 2/3 (L2/3) of the rodent barrel cortex, where a single whisker deflection activates a sparse, distributed neuronal population that spans multiple cortical colu...
Somatosensory Cortex Action Potentials Neurons Neural Pathways Electric Stimulation Vibrissae Neural Networks, Computer Rodentia Animals
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How Much Does Movement and Location Encoding Impact Prefrontal Cortex Activity? An Algorithmic Decoding Approach in Freely Moving Rats.

eNeuro Apr 27, 2018
Specialized brain structures encode spatial locations and movements, yet there is growing evidence that this information is also represented in the rodent medial prefrontal cortex (mPFC). Disambiguating such information from the encoding of other typ...
Machine Learning Space Perception Rats Electroencephalography Animals Behavior, Animal Rats, Long-Evans Neurons Locomotion Male Nerve Net Prefrontal Cortex
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Shaping the collision selectivity in a looming sensitive neuron model with parallel ON and OFF pathways and spike frequency adaptation.

Neural networks : the official journal of the International Neural Network Society Apr 16, 2018
Shaping the collision selectivity in vision-based artificial collision-detecting systems is still an open challenge. This paper presents a novel neuron model of a locust looming detector, i.e. the lobula giant movement detector (LGMD1), in order to p...
Animals Models, Neurological Action Potentials Neurons Vision, Ocular Photic Stimulation Neural Networks, Computer Adaptation, Physiological Motion Perception Grasshoppers
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A Theory of Sequence Indexing and Working Memory in Recurrent Neural Networks.

Neural computation Apr 13, 2018
To accommodate structured approaches of neural computation, we propose a class of recurrent neural networks for indexing and storing sequences of symbols or analog data vectors. These networks with randomized input weights and orthogonal recurrent we...
Algorithms Computer Simulation Models, Neurological Humans Neural Networks, Computer Memory, Short-Term Neurons
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Deep learning for healthcare applications based on physiological signals: A review.

Computer methods and programs in biomedicine Apr 11, 2018
BACKGROUND AND OBJECTIVE: We have cast the net into the ocean of knowledge to retrieve the latest scientific research on deep learning methods for physiological signals. We found 53 research papers on this topic, published from 01.01.2008 to 31.12.20...
Electrooculography Quality of Health Care Medical Informatics Linear Models Diagnosis, Computer-Assisted Electrocardiography Electroencephalography Signal Processing, Computer-Assisted Electromyography Neurons Humans Machine Learning Algorithms
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Computational Approach to Investigating Key GO Terms and KEGG Pathways Associated with CNV.

BioMed research international Apr 11, 2018
Choroidal neovascularization (CNV) is a severe eye disease that leads to blindness, especially in the elderly population. Various endogenous and exogenous regulatory factors promote its pathogenesis. However, the detailed molecular biological mechani...
Neurons Gene Ontology Humans Choroidal Neovascularization Computational Biology Signal Transduction
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