Top 10 biomedical-engineering-online.biomedcentral.com Competitors

embs.org

Q1:  How do I enter my review of a manuscript? A1: Your Reviewer Center contains a list of all manuscripts you are responsible for reviewing. At the far right under the Corresponding Author’s name is a button named “Review”. Clicking this button will bring you to a screen entitled “Instructions for Reviewers”. Follow the prompts given… Continue Reading FAQs for Reviewers

onlinebme.com

لایه Pooling یکی از اجزای کلیدی در معماری شبکه‌های عصبی کانولوشنال است که با کاهش ابعاد تصویر، ویژگی‌های مهم آن را حفظ می کند. این لایه نه تنها پیچیدگی محاسباتی را به شدت کاهش می‌دهد، بلکه باعث بهبود تعمیم‌پذیری (Generalization) مدل و مقاوم بودن آن در برابر تغییرات مکانی  نیز می‌شود. در این مقاله به زبان ساده و با مثال تصویری توضیح می‌دهیم که pooling دقیقاً چه کاری انجام می‌دهد. لایه پولینگ (pooling) به شبکه های عصبی CNNs کمک میکند که به جای فشرده سازی ساده، بهترین ویژگی‌ها را استخراج کنند. در ادامه با انواع pooling (Max Pooling و Average Pooling)، تفاوت آن‌ها با down-sampling ساده، چالش‌های شبکه بدون pooling، و نحوه پیاده‌سازی آن‌ها در PyTorch آشنا می‌شویم. همچنین به لایه Adaptive Pooling و کاربردهای مهم آن در Transfer Learning می‌پردازیم. اگر می‌خواهید عمیقاً درک کنید که چرا شبکه‌هایی مثل AlexNet و LeNet-5 موفق شدند، مطالعه این مقاله اولین قدم مهم شماست

eneuro.org

Recently developed probes for extracellular electrophysiological recordings have large numbers of electrodes on long linear shanks. Linear electrode arrays, such as Neuropixels probes, have hundreds of recording electrodes distributed over linear shanks that span several millimeters. Because of the length of the probes, linear probe recordings in rodents usually cover multiple brain areas. Typical studies collate recordings across several recording sessions and animals. Neurons recorded in different sessions and animals thus have to be aligned to each other and to a standardized brain coordinate system. Here, we evaluate two typical workflows for localization of individual electrodes in standardized coordinates. These workflows rely on imaging brains with fluorescent probe tracks and warping 3D image stacks to standardized brain atlases. One workflow is based on tissue clearing and selective plane illumination microscopy (SPIM), whereas the other workflow is based on serial block-face two-photon (SBF2P) microscopy. In both cases electrophysiological features are then used to anchor particular electrodes along the reconstructed tracks to specific locations in the brain atlas and therefore to specific brain structures. We performed groundtruth experiments, in which motor cortex outputs are labeled with ChR2 and a fluorescence protein. Light-evoked electrical activity and fluorescence can be independently localized. Recordings from brain regions targeted by the motor cortex reveal better than 0.1-mm accuracy for electrode localization, independent of workflow used.

iter.org

In the deuterium-tritium (D-T) fusion reaction, high energy neutrons are released along with helium atoms. These electrically neutral particles escape the magnetic fields that confine the plasma and are absorbed by the blanket covering the surrounding walls.If the blanket modules contain lithium, a reaction occurs: the incoming neutron is absorbed by the lithium atom, which recombines into an atom of tritium and an atom of helium. The tritium can then be removed from the blanket and recycled into the plasma as fuel.Blankets containing lithium are referred to as breeding blankets. A future fusion plant producing large amounts of power will be required to "breed" all of its own tritium. Through its Test Blanket Module (TBM) program, ITER will be the first fusion device to test this essential concept of tritium self-sustainment. Further research will be necessary to demonstrate the feasibility of large-scale tritium production and recycling.