Research
Our lab focuses on advancing neuroengineering, brain-computer interfaces, and neuroscience data analysis to develop innovative technologies for understanding and enhancing brain function. In the face of growing challenges in neuroscience, such as decoding complex neural dynamics and translating lab findings into practical applications, we are committed to developing transformative tools and technologies that bridge the gap between basic science and clinical impact. Our research spans a wide range of topics, including:
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Analyzing Dynamical Neural Circuits: Developing advanced tools and theories, including the Latent Dynamical Coherence Model (LDCM), to investigate and model neural activity at various spatiotemporal scales, connecting neural dynamics to behavior and enabling novel closed-loop interventions.
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Neurotechnology Innovation: Creating wearable sensors, real-time data analysis platforms, and cloud-based systems for enhancing cognitive functions, memory retention, and mental well-being through adaptive and phase-locked stimulation paradigms.
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Closed-Loop Interventions for Neuropsychiatry: Pioneering methodologies for adaptive brain stimulation to address cognitive and psychiatric conditions, focusing on non-invasive approaches for everyday applications.
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Large-Scale Data Modeling: Crafting interpretable and scalable techniques for high-dimensional neural recordings, such as spike data and hippocampal activity, integrating machine learning frameworks like deep generative decoders for real-time neural decoding and prediction.
Explore our lab’s projects and tools on [GitHub] https://github.com/YousefiNeuroLab/