Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like ...

Quantitative calculations of camera poses and dense anatomical reconstructions from endoscopic videos are essential for applications such as intraoperative navigation and robotic surgery automation.

Training a deep convolutional neural network (CNN) from scratch is difficult because it requires a large amount of labeled training data and a great deal of expertise to ensure proper convergence. A ...

People with high levels of wellbeing reported a greater sense of control, independence and freedom to make choices than other people.

Tissue staining is a cornerstone of medical diagnostics, used to highlight cellular structures and render tissue features ...

Researchers at the Technical University of Munich (TUM) have now discovered that artificial neural networks can perform this task better when trained with biological data from early visual system ...

By making neural circuit data more accessible and searchable, this automated pipeline may help clinicians and researchers better understand SUDEP’s underlying biology—paving the way for more targeted ...

IN a breakthrough that could accelerate research into Sudden Unexpected Death in Epilepsy (SUDEP), researchers have demonstrated that a state-of-the-art AI model, GPT-4o, can accurately extract neural ...

inference_input_dir is the directory with G-buffer image sequences for inference. If using custom G-buffers, check the output of the inverse rendering model for an example of the file structure. The ...

The configs here: --checkpoint_dir specifies the directory containing model checkpoints, use default checkpoints/. --diffusion_transformer_dir selects the specific model variant to use. --dataset_path ...

The study investigates using 3D neural organoids made from human pluripotent stem cells (hPSCs) to assess neurotoxicity and neural function. Organoids were imaged to measure spontaneous calcium ...

Technological progress in the areas of artificial intelligence, specifically in the field of Deep Learning and Neuro-inspired networks, allows today to obtain results that would once have been ...