Results 111 to 120 of about 3,782,014 (296)
The predictive coding theory is currently widely accepted as the theoretical basis of perception and chronic perceptual disorders are explained as the maladaptive compensation of the brain to a prediction error. Although this gives us a general framework
Anusha Yasoda-Mohan, Sven Vanneste
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LVRF (lymphatic and vascular resistance factor) is a VEGFA splice variant upregulated in response to anti‐angiogenic therapy that fosters tumor adaptation through enhanced vascularization, lymphangiogenesis, and metastatic dissemination. Targeting LVRF with fully human neutralizing antibodies disrupts these processes and limits resistant tumor growth ...
Marion David +12 more
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Episodic memories are leveraged to predict upcoming input. Latent Cause Theory (Gershman et al., 2017) predicts that after moderate prediction errors, existing memories will be updated by integrating new information, while after large prediction errors ...
Marius Boeltzig +3 more
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Prediction of discretization error using the error transport equation
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Ismail B. Celik, Don Roscoe Parsons III
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Prediction error dependent changes in brain connectivity during associative learning [PDF]
One of the fundaments of associative learning theories is that surprising events drive learning by signalling the need to update one’s beliefs. It has long been suggested that plasticity of connection strengths between neurons underlies the learning ...
den Ouden, H.E.M.
core
Engineering IL‐4 resistant proinflammatory human myeloid cells for cancer immunotherapy
We developed a scalable workflow to generate proinflammatory human myeloid cells. CRISPR/Cas9‐edited CD34+ hematopoietic stem and progenitor cells were expanded and differentiated with M‐CSF. Deletion of STAT6 or STAT6/NFKB1 enhanced macrophage proinflammatory gene expression and cytokine secretion in the presence of IL‐4 while maintaining antibody ...
Theresa Barberi, Alan D. Friedman
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Predictive coding in psychopathology: mechanistic model or metaphorical re-description?
Predictive coding (PC) has become a central framework in contemporary cognitive neuroscience, proposing that the brain operates as a hierarchical inference system that continuously minimizes the mismatch between predicted and actual sensory input.
Albandri Sultan Alotaibi
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Predicting the Encoding Error of SIRENs
Implicit Neural Representations (INRs), which encode signals such as images, videos, and 3D shapes in the weights of neural networks, are becoming increasingly popular. Among their many applications is signal compression, for which there is great interest in achieving the highest possible fidelity to the original signal subject to constraints such as ...
Jeremy Vonderfecht, Feng Liu
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Tumour‐proximal deep serum proteomics identifies biomarkers associated with ovarian cancer
New biomarkers are needed for early ovarian cancer detection. Ovarian (tumour‐proximal) and peripheral vein serum from healthy women and patients with benign or malignant tumours underwent nanoparticle‐enriched deep proteomics. Ovarian serum yielded more protein identifications and revealed tumour‐reflective signatures.
Darren Lau +9 more
wiley +1 more source
IntroductionHabituation, or loss of clinical benefit over time, is a frequent problem in spinal cord stimulation (SCS). Existing programming strategies such as waveform cycling or closed-loop stimulation try to address it, but there is no common ...
Alexander Taghva, Alexander Taghva
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