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Biophysical Phenomena

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Ablation Index and Surround Flow Catheter Irrigation: Impedance-Based Appraisal in Clinical Ablation.

JACC. Clinical electrophysiology
OBJECTIVES: This study sought to assess the impact of ablation power and catheter irrigation during clinical radiofrequency ablation using impedance drop.

Constructing Precisely Computing Networks with Biophysical Spiking Neurons.

The Journal of neuroscience : the official journal of the Society for Neuroscience
UNLABELLED: While spike timing has been shown to carry detailed stimulus information at the sensory periphery, its possible role in network computation is less clear. Most models of computation by neural networks are based on population firing rates....

Single NMR image super-resolution based on extreme learning machine.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
INTRODUCTION: The performance limitation of MRI equipment and higher resolution demand of NMR images from radiologists have formed a strong contrast. Therefore, it is important to study the super resolution algorithm suitable for NMR images, using lo...

[Computational neuroanatomy and microstructure imaging using magnetic resonance imaging].

Der Nervenarzt
BACKGROUND: Current computational neuroanatomy focuses on morphological measurements of the brain using standard magnetic resonance imaging (MRI) techniques. In comparison quantitative MRI (qMRI) typically provides a better tissue contrast and also g...

Combining biophysical modeling and deep learning for multielectrode array neuron localization and classification.

Journal of neurophysiology
Neural circuits typically consist of many different types of neurons, and one faces a challenge in disentangling their individual contributions in measured neural activity. Classification of cells into inhibitory and excitatory neurons and localizati...

Auto-encoding NMR chemical shifts from their native vector space to a residue-level biophysical index.

Nature communications
Chemical shifts (CS) are determined from NMR experiments and represent the resonance frequency of the spin of atoms in a magnetic field. They contain a mixture of information, encompassing the in-solution conformations a protein adopts, as well as th...

Exploring the limitations of biophysical propensity scales coupled with machine learning for protein sequence analysis.

Scientific reports
Machine learning (ML) is ubiquitous in bioinformatics, due to its versatility. One of the most crucial aspects to consider while training a ML model is to carefully select the optimal feature encoding for the problem at hand. Biophysical propensity s...