AIMC Topic: Neurons

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Spiking neural networks for handwritten digit recognition-Supervised learning and network optimization.

Neural networks : the official journal of the International Neural Network Society Apr 6, 2018
We demonstrate supervised learning in Spiking Neural Networks (SNNs) for the problem of handwritten digit recognition using the spike triggered Normalized Approximate Descent (NormAD) algorithm. Our network that employs neurons operating at sparse bi...
Humans Neural Networks, Computer Algorithms Neurons Pattern Recognition, Automated Memory Handwriting Databases, Factual Learning Supervised Machine Learning
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Simplified and Yet Turing Universal Spiking Neural P Systems with Communication on Request.

International journal of neural systems Apr 2, 2018
Spiking neural P systems are a class of third generation neural networks belonging to the framework of membrane computing. Spiking neural P systems with communication on request (SNQ P systems) are a type of spiking neural P system where the spikes a...
Neurons Neural Networks, Computer Animals Action Potentials
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Modeling cognitive deficits following neurodegenerative diseases and traumatic brain injuries with deep convolutional neural networks.

Brain and cognition Mar 26, 2018
The accurate diagnosis and assessment of neurodegenerative disease and traumatic brain injuries (TBI) remain open challenges. Both cause cognitive and functional deficits due to focal axonal swellings (FAS), but it is difficult to deliver a prognosis...
Neural Networks, Computer Cognition Disorders Brain Cognition Neurodegenerative Diseases Neurons Brain Injuries, Traumatic Models, Neurological Humans
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Ongoing brain rhythms shape I-wave properties in a computational model.

Brain stimulation Mar 20, 2018
BACKGROUND: Responses to transcranial magnetic stimulation (TMS) are notoriously variable. Previous studies have observed a dependence of TMS-induced responses on ongoing brain activity, for instance sensorimotor rhythms. This suggests an opportunity...
Humans Neural Networks, Computer Brain Male Computational Biology Female Adult Brain Waves Motor Cortex Transcranial Magnetic Stimulation Longitudinal Studies Electroencephalography Neurons
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Resonance with subthreshold oscillatory drive organizes activity and optimizes learning in neural networks.

Proceedings of the National Academy of Sciences of the United States of America Mar 15, 2018
Network oscillations across and within brain areas are critical for learning and performance of memory tasks. While a large amount of work has focused on the generation of neural oscillations, their effect on neuronal populations' spiking activity an...
Models, Neurological Action Potentials Neurons Rhodopsin Nerve Net Ion Channels Learning Animals Mice Neural Networks, Computer Computer Simulation
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Design and validation of an ontology-driven animal-free testing strategy for developmental neurotoxicity testing.

Toxicology and applied pharmacology Mar 13, 2018
Developmental neurotoxicity entails one of the most complex areas in toxicology. Animal studies provide only limited information as to human relevance. A multitude of alternative models have been developed over the years, providing insights into mech...
Animals Risk Assessment Signal Transduction Neurons Cells, Cultured Brain Reproducibility of Results Toxicity Tests Animal Testing Alternatives Neurogenesis Neurotoxicity Syndromes Biological Ontologies Toxicology Models, Animal Humans
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Multineuron spike train analysis with R-convolution linear combination kernel.

Neural networks : the official journal of the International Neural Network Society Mar 6, 2018
A spike train kernel provides an effective way of decoding information represented by a spike train. Some spike train kernels have been extended to multineuron spike trains, which are simultaneously recorded spike trains obtained from multiple neuron...
Models, Neurological Action Potentials Neurons Neural Networks, Computer Brain Animals
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Classifying dynamic transitions in high dimensional neural mass models: A random forest approach.

PLoS computational biology Mar 2, 2018
Neural mass models (NMMs) are increasingly used to uncover the large-scale mechanisms of brain rhythms in health and disease. The dynamics of these models is dependent upon the choice of parameters, and therefore it is crucial to be able to understan...
Humans Neural Networks, Computer Brain Models, Neurological Computer Simulation Neurons Computational Biology
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A robotic multidimensional directed evolution approach applied to fluorescent voltage reporters.

Nature chemical biology Feb 26, 2018
We developed a new way to engineer complex proteins toward multidimensional specifications using a simple, yet scalable, directed evolution strategy. By robotically picking mammalian cells that were identified, under a microscope, as expressing prote...
Genes, Reporter Optogenetics Luminescent Proteins Cell Separation Gene Library Caenorhabditis elegans Mice Robotics Flow Cytometry Animals Male Hippocampus Microscopy, Fluorescence Fluorescence Brain HEK293 Cells Neurons Directed Molecular Evolution Female Zebrafish Humans Protein Engineering
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Biologically Inspired Intensity and Depth Image Edge Extraction.

IEEE transactions on neural networks and learning systems Feb 20, 2018
In recent years, artificial vision research has moved from focusing on the use of only intensity images to include using depth images, or RGB-D combinations due to the recent development of low-cost depth cameras. However, depth images require a lot ...
Neurons Image Processing, Computer-Assisted Humans Visual Pathways Neural Networks, Computer Pattern Recognition, Automated Virtual Reality Models, Neurological Depth Perception Action Potentials
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