eLife

Distinct sensorimotor encoding in tuft dendrites and somata associated with action, correction, and learning

This important study reveals distinct representations of task-related information in the dendrites and somata of cortical neurons during sensorimotor learning and behavioral adaptation. The evidence ...

Cleve Moler, Who Unlocked the Power of Computing for Millions, Dies at 86

He built interfaces that allowed engineers, scientists and everyday people to solve difficult problems without having to ...
IEEE

Regional Classification of Indonesian Folk Songs Based on K-NN and PCC-LDA Model

Abstract: One of the biggest challenges in Music Information Retrieval (MIR) is classification. MIR is a subset of Machine Learning (ML), where the methods found in computer science can be used to ...
The Lancet

Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study

To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...
IEEE

Attentional State Classification Using Amplitude and Phase Feature Extraction Method Based on Filter Bank and Riemannian Manifold

Abstract: As a significant aspect of cognition, attention has been extensively studied and numerous measurements have been developed based on brain signal processing. Although existing attentional ...