In this framework, the prediction error signal is a marker that the existing model or inference has not fully accounted for the input. A readjustment at the next level in the hierarchy may increase the accuracy and reduce the prediction error. But if it does not, higher-level readjustments ...
The structure of the DNN consists of an input layer, D ReLU layers, each preceded by fully connected and batch normalization layers and succeeded by a 50% dropout layer, a final fully connected layer and the output layer. Given the importance of AR lags in the modelling of iEEG, for ...
The edges of individual MSNs were used to train two predictive models: a regression model to predict postmenstrual age (PMA) at scan and identify the set of image features that best model chronological brain age; and a classification model to discriminate between preterm infants at term equivalent...
For a better understanding of brain tumors and the associated therapies, genetically engineered mouse models (GEMMs) have been established and used for mimicking the pathological phenotypes and elucidating the innate mechanisms of brain tumors [156,157,158]. However, GEMMs cannot fully simulate the ph...
To demonstrate that our printing technique might produce structures representing all six layers of the cerebral cortex33, we applied a layer-by-layer sequential printing strategy (Supplementary Fig.1f). Each layer, composed of an 8 × 8 × 8 droplet network, was labelled with a differe...
Evaluation of the presence of IA transplanted mRNA-ITGA4 transfected or control (naïve) hBM-MSCs in the rat brain subjected to focal brain damage using MRI scan assessment.AmRNA-ITGA4 transfected and control hBM-MSCs labelled with Molday ION were visible in MRI in T2 and T2* scans up to...
finding using PCNA, illustrating an even greater number of newly proliferative co-labelled RG cells (Fig.3i–k). Analysis of the EdU+/gfap:GFP+population showed that these proliferating RG, hereafter referred to as “pRG”, were restricted to a 48-hr window spanning 1-dpl through to 3-dpl...
(Columns) From left to right: the MRI FLAIR sequence with the manually labelled lesions, predicted soft segmentation map obtained from a single-scale model (Deep+) and the prediction of the multi-scale DeepMedic model. The incorporation of greater context enables DeepMedic to identify when it ...
For in vivo calcium imaging, callosal neurons were selectively traced and labelled using viral vectors. To do so we injected mice with a retrograde adeno-associated virus (retro AAV-CAG-Td -Tomatoe, Addgene, 59462-AAVrg; Titer≥7 × 10¹² vg/mL; dilution 1:3 with 1× PBS)...
(FC) into two clusters; these were then labelled as the “predominantly integrated” and “predominantly segregated” clusters, based on their graph-theoretical properties of participation coefficient and within-module degree Z-score25, and each cluster was summarised by one centroid matrix of ...