AIMC Topic: Nerve Net
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The impact of encoding-decoding schemes and weight normalization in spiking neural networks.
Neural networks : the official journal of the International Neural Network Society
Sep 11, 2018
Spike-timing Dependent Plasticity (STDP) is a learning mechanism that can capture causal relationships between events. STDP is considered a foundational element of memory and learning in biological neural networks. Previous research efforts endeavore...
Toward Fast Neural Computing using All-Photonic Phase Change Spiking Neurons.
Scientific reports
Aug 28, 2018
The rapid growth of brain-inspired computing coupled with the inefficiencies in the CMOS implementations of neuromrphic systems has led to intense exploration of efficient hardware implementations of the functional units of the brain, namely, neurons...
Application of chaos in a recurrent neural network to control in ill-posed problems: a novel autonomous robot arm.
Biological cybernetics
Aug 20, 2018
Inspired by a viewpoint that complex/chaotic dynamics would play an important role in biological systems including the brain, chaotic dynamics introduced in a recurrent neural network was applied to robot control in ill-posed situations. By computer ...
DeepLabCut: markerless pose estimation of user-defined body parts with deep learning.
Nature neuroscience
Aug 20, 2018
Quantifying behavior is crucial for many applications in neuroscience. Videography provides easy methods for the observation and recording of animal behavior in diverse settings, yet extracting particular aspects of a behavior for further analysis ca...
Estimation of neural connections from partially observed neural spikes.
Neural networks : the official journal of the International Neural Network Society
Aug 18, 2018
Plasticity is one of the most important properties of the nervous system, which enables animals to adjust their behavior to the ever-changing external environment. Changes in synaptic efficacy between neurons constitute one of the major mechanisms of...
Born to learn: The inspiration, progress, and future of evolved plastic artificial neural networks.
Neural networks : the official journal of the International Neural Network Society
Aug 7, 2018
Biological neural networks are systems of extraordinary computational capabilities shaped by evolution, development, and lifelong learning. The interplay of these elements leads to the emergence of biological intelligence. Inspired by such intricate ...
Complexity in mood disorder diagnosis: fMRI connectivity networks predicted medication-class of response in complex patients.
Acta psychiatrica Scandinavica
Aug 6, 2018
OBJECTIVE: This study determined the clinical utility of an fMRI classification algorithm predicting medication-class of response in patients with challenging mood diagnoses.
TractSeg - Fast and accurate white matter tract segmentation.
NeuroImage
Aug 4, 2018
The individual course of white matter fiber tracts is an important factor for analysis of white matter characteristics in healthy and diseased brains. Diffusion-weighted MRI tractography in combination with region-based or clustering-based selection ...
Artificial intelligence in retina.
Progress in retinal and eye research
Aug 1, 2018
Major advances in diagnostic technologies are offering unprecedented insight into the condition of the retina and beyond ocular disease. Digital images providing millions of morphological datasets can fast and non-invasively be analyzed in a comprehe...
Reading the (functional) writing on the (structural) wall: Multimodal fusion of brain structure and function via a deep neural network based translation approach reveals novel impairments in schizophrenia.
NeuroImage
Jul 25, 2018
This work presents a novel approach to finding linkage/association between multimodal brain imaging data, such as structural MRI (sMRI) and functional MRI (fMRI). Motivated by the machine translation domain, we employ a deep learning model, and consi...
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