Results 61 to 70 of about 2,193,761 (259)
Parkinson Disease Subtype Stability and Eventual Convergence
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Previous research identified distinct Parkinson disease (PD) clinical subtypes of “Motor Only,” “Psychiatric & Motor,” and “Cognitive & Motor” based on comprehensive, multidomain classification. Whether these subtypes reflect distinct trajectories or progressive disease stages remains unknown.
Laura M. Rosok +10 more
wiley +1 more source
IntelLabs/bayesian-torch: Bayesian-Torch 0.4.0
, 2023 <p>New feature: Quantization framework in Bayesian-Torch. Support Post Training Quantization of Bayesian deep neural networks, enables efficient INT8 inference on Intel platforms.</p> What's Changed <ul> <li>Add support for output
Michael Beale +5 more
core +1 more source
Bayesian estimation of maximum entropy model for individualized energy landscape analysis of brain state dynamics [PDF]
, 2021 The pairwise maximum entropy model (MEM) for resting state functional MRI (rsfMRI) has been used to generate energy landscape of brain states and to explore nonlinear brain state dynamics.
박해정
core +1 more source
Advanced Materials, EarlyView.The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
NeuroImage, 2022 Recent neuroscience studies have suggested that cognitive functions and learning capacity are reflected in the time-evolving dynamics of brain networks.
Hiroshi Yokoyama, Keiichi Kitajo
doaj +1 more source
Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health
Advanced Materials, EarlyView.This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim +4 more
wiley +1 more source
A Novel Sleep Mechanism Inspired Continual Learning Algorithm
Guidance, Navigation and ControlBayesian-based methods have emerged as an effective approach in continual learning (CL) to solve catastrophic forgetting. One prominent example is Variational Continual Learning (VCL), which demonstrates remarkable performance in task-incremental ...
Yuyang Han +5 more
doaj +1 more source
Confirmation in the Cognitive Sciences: The Problematic Case of Bayesian Models [PDF]
, 2011 Bayesian models of human learning are becoming increasingly popular in cognitive science. We argue that their purported confirmation largely relies on a methodology that depends on premises that are inconsistent with the claim that people are Bayesian ...
Danks, David +3 more
core +1 more source
Muscle Control of an Extra Robotic Digit
Advanced Robotics Research, EarlyView.This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ +7 more
wiley +1 more source
The time lag in local field potential signals for the development of its Bayesian belief network
EURASIP Journal on Advances in Signal ProcessingPurpose The objective is to suggest time as an important variable to consider in the network model, specifically when discussing causality. Methods There is a consideration of the context of functional connectivity because of the time importance of ...
Victor H. B. Tsukahara +4 more
doaj +1 more source