This article provides a comprehensive overview of the current state and critical importance of benchmarking in neuronal network simulations, tailored for researchers, scientists, and drug development professionals.
This article provides a comprehensive guide for researchers and drug development professionals on benchmarking brain-inspired computing algorithms.
This article provides a rigorous framework for benchmarking computational neuroscience models, addressing a critical need for standardization in the field.
This article provides a comprehensive guide to performance metrics for machine learning algorithms in neuroscience and neuroimaging research.
This article provides a comprehensive guide for researchers and biomedical professionals on measuring the energy efficiency of neuromorphic hardware.
This article provides a comprehensive analysis of cross-participant generalization for neural decoding models, a critical challenge in developing robust brain-computer interfaces (BCIs) and clinical neurotechnologies.
NeuroBench is a standardized, open-source benchmark framework designed to address the critical lack of comparability in the rapidly advancing field of neuromorphic computing.
This article provides a comprehensive comparative analysis of deep brain stimulation (DBS) and non-invasive neuromodulation techniques for researchers and drug development professionals.
This article provides a comprehensive comparative analysis of the spatial resolution capabilities of modern neural recording technologies.
This article provides a systematic review of strategies for evaluating and enhancing the robustness of neural interfaces in real-world environments.