Spiking Neural Networks (SNNs), the third generation of neural networks, offer a paradigm shift from traditional artificial neural networks (ANNs) by mimicking the brain's efficient, event-driven communication.
This article provides a comprehensive analysis of the latest methodologies and advancements in electroencephalogram (EEG) signal processing for brain-computer interfaces (BCIs), tailored for researchers and biomedical professionals.
This article explores the pivotal neuroscience technology trends of 2025 that are revolutionizing research and therapeutic development.
This article provides a comprehensive analysis of non-invasive brain stimulation (NIBS) as a tool for cognitive enhancement, tailored for researchers, scientists, and drug development professionals.
This article provides a comprehensive analysis of the ethical implications arising from the rapid advancement of brain augmentation technologies.
This article synthesizes current research on Intrinsic Functional Network Neuroscience (ifNN) and its pivotal role in quantifying individual differences in brain organization.
This article provides a comprehensive overview of the transformative role of deep learning neural networks in modern neuroscience and drug development.
This article provides a comprehensive exploration of neural population dynamics, a foundational framework for understanding how brain-wide networks perform computations driving cognition and behavior.
This article provides a comprehensive analysis of the current state and future trajectory of Brain-Computer Interfaces (BCIs) for an audience of researchers, scientists, and drug development professionals.
This article provides a comprehensive framework for the selection, application, and validation of outcome measures in brain augmentation technology research. Tailored for researchers and drug development professionals, it explores foundational concepts in cognitive and physical enhancement, details methodological approaches for invasive and non-invasive technologies, addresses key challenges in data interpretation and ethical considerations, and establishes criteria for the comparative analysis and validation of emerging augmentation strategies. The synthesis of current evidence and future-looking perspectives aims to standardize efficacy assessment and accelerate the translation of neurotechnology from laboratory to clinical practice.