The images were then digitized in the PC where they were fused to create a superimposed picture of the aligned parts of the neuron; a 2D reconstruction was created.doi:10.1016/0165-0270(94)90177-5T.S. SkoglundI. HammarC. OlssonC.-H. Berthold...
PDMS chambers should not be kept for long periods of time; up to 1–2 weeks should be fine. Dorsal Root Ganglion Explant Culture We regularly use both primary DRG and spinal cord explants as well as dissociated neuron cultures from mouse embryos for imaging and other purposes. Timed-pregnant...
Preclinical toxicity screening of the new retinal compounds is an absolute requirement in the pathway of further drug development. Since retinal neuron cultivation and in vivo studies are relatively expensive and time consuming, we aimed to create a fast and reproducible ex vivo system for retinal to...
Neuron, 81 (1) (2014), pp. 49-60 10.1016/j.neuron.2013.10.061 View in ScopusGoogle Scholar 9. Yu Y. J., Zhang Y., Kenrick M., Hoyte K., Luk W., Lu Y., Atwal J., Elliott J. M., Prabhu S., Watts R. J., Dennis M. S. Boosting brain uptake of a therapeutic antibody ...
Therefore, every single neuron of a specified kernel searches the same form in other input-image parts. The pooling layers decrease the network size. Furthermore, these layers efficiently decrease the network sensitivity to image distortions, scales, and shifts along with shared weights and local ...
Hyper-sausage coverage function neuron model and learning algorithm for image classification. Pattern Recognit. 2023, 136, 109216. [Google Scholar] [CrossRef] Miran, S.; Akram, S.; Sheikhattar, A.; Simon, J.; Zhang, T.; Babadi, B. Real-time tracking of selective auditory attention from...
The MLP contains two hidden layers, of which the neuron numbers are 20 and 30, respectively. Besides this, the parameters of KNN and the other parameters of MLP are the default in the package. The two methods are applied to the previous three datasets under the conditions of 3, 5 and ...
We explore two situations of the fully-connected layer (fc6), as shown in Table 1, either to preserve the 128-neuron fc layer or to cut off it. The output of the last fully-connected layer is fed to a 10-way Softmax classifier, which is a generalization of Logistic Regression to ...
where w and b are the weights and bias of the i-th neuron in the j-th convolutional layer, and Mj is the set of input feature maps of the j-th convolutional layer. σ(∙) represents the activation function. After the training is completed, this model Ms is used to obtain the clas...
The detailed kernel size and neuron number of each module are listed in Table 1. Table 1. Basic modules. This study applies comparison to conduct a systematic and intensive study, and several deep learning methods based on basic modules are employed to verify the effectiveness of the proposed...