Results 61 to 70 of about 66,750 (249)

The time lag in local field potential signals for the development of its Bayesian belief network

EURASIP Journal on Advances in Signal Processing
Purpose 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, Jordão N. O. Junior, Tamiris Prizon, Rafael N. Ruggiero, Carlos D. Maciel   +4 more
doaj   +1 more source

Cortical Oscillatory Signatures Reveal the Prerequisites for Tinnitus Perception: A Comparison of Subjects With Sudden Sensorineural Hearing Loss With and Without Tinnitus

Frontiers in Neuroscience, 2020
Just as the human brain works in a Bayesian manner to minimize uncertainty regarding external stimuli, a deafferented brain due to hearing loss attempts to obtain or “fill in” the missing auditory information, resulting in auditory phantom percepts (i.e.,
Sang-Yeon Lee, Byung Yoon Choi, Ja-Won Koo, Dirk De Ridder, Jae-Jin Song   +4 more
doaj   +1 more source

A Bayesian approach to determining connectivity of the human brain [PDF]

Human Brain Mapping, 2005
AbstractRecent work regarding the analysis of brain imaging data has focused on examining functional and effective connectivity of the brain. We develop a novel descriptive and inferential method to analyze the connectivity of the human brain using functional MRI (fMRI).
Rajan S, Patel, F Dubois, Bowman, James K, Rilling   +2 more
openaire   +2 more sources

Prior Expectations Bias Confidence Judgments Through Parietal Alpha‐Band Modulation

Advanced Science, EarlyView.
ABSTRACT Humans possess the metacognitive ability to estimate the likely accuracy of their own decisions through confidence judgments. Yet, whether prior information shapes confidence and the neural mechanisms mediating such influence, remain to be determined.
Luca Tarasi, Anna Pasini, Domenico Romanazzi, Margherita Covelli, Vincenzo Romei   +4 more
wiley   +1 more source

Computational Neuropsychology and Bayesian Inference

Frontiers in Human Neuroscience, 2018
Computational theories of brain function have become very influential in neuroscience. They have facilitated the growth of formal approaches to disease, particularly in psychiatric research.
Thomas Parr, Geraint Rees, Geraint Rees, Karl J. Friston   +3 more
doaj   +1 more source

STAID: A Self‐Refining Deep Learning Framework for Spatial Cell‐Type Deconvolution with Biologically Informed Modeling

Advanced Science, EarlyView.
STAID is a unified deep learning framework that couples iterative pseudo‐spot refinement with neural network training through a feedback loop and exploits gene co‐expression information to model higher‐order interactions, achieving accurate and robust cell‐type deconvolution in spatial transcriptomics.
Jixin Liu, Shuli Sun, Zhengliang Lv, Xinyu Liu, Yihua Wang, Bingqiang Liu   +5 more
wiley   +1 more source

Hierarchical Bayesian modeling of multiregion brain cell count data

eLife
We can now collect cell-count data across whole animal brains quantifying recent neuronal activity, gene expression, or anatomical connectivity. This is a powerful approach since it is a multiregion measurement, but because the imaging is done postmortem,
Sydney Dimmock, Benjamin MS Exley, Gerald Moore, Lucy Menage, Alessio Delogu, Simon R Schultz, E Clea Warburton, Conor J Houghton, Cian O'Donnell   +8 more
doaj   +1 more source

CHCHD10 Mitigates Alzheimer's Disease‐Related Phenotypes in Association With Epigenetic Remodeling in Directly Reprogrammed Neurons

Advanced Science, EarlyView.
CHCHD10 loss in Alzheimer's disease is associated with mitochondrial dysfunction, epigenomic disruption, and tau pathology. Restoration of CHCHD10 shifts DNA methylation toward a non‐disease state and reduces tau and amyloid pathology, with KATNAL2 acting as a downstream effector.
Teresa M. Thomas, Ching‐Yao Yang, Kexin Zhang, Liam Wetzel, Dina Bugybayeva, Julia Ferguson, Md Mahmudul Hasan, William Samsa, Nandita Patil, Anshul Dash, Tarini Gowda, Xiongwei Zhu, Feixiong Cheng, Tian Liu   +13 more
wiley   +1 more source

Efficacy of first-line immune checkpoint inhibitors in advanced non-small-cell lung cancer with or without brain metastases: a systematic review and network meta-analysis

Frontiers in Oncology
BackgroundImmune checkpoint inhibitors (ICIs) are the standard first-line care for advanced non-small cell lung cancer (NSCLC). However, optimal therapeutic choices for patients with brain metastases remain unclear due to a lack of direct comparisons. We
Jie Luo, Moxuan Han, Mingwei Sima, Yan Cui, Ziyang Yu, Chang Dong, Kejia Ma, Donghui Yue, Donghui Yue   +8 more
doaj   +1 more source

How recent history affects perception: the normative approach and its heuristic approximation.

PLoS Computational Biology, 2012
There is accumulating evidence that prior knowledge about expectations plays an important role in perception. The Bayesian framework is the standard computational approach to explain how prior knowledge about the distribution of expected stimuli is ...
Ofri Raviv, Merav Ahissar, Yonatan Loewenstein   +2 more
doaj   +1 more source