Welcome to BIONICS, where we blend neuroscience and technology to push the limits of what's possible in biomedical engineering. Our interdisciplinary research group is dedicated to exploring the frontiers of science and developing cutting-edge technologies to understand the complex network dynamics of the brain in health and disease states. Using a unique combination of engineering, experimental neuroscience, and computational tools, we aim to decipher how neural computations are coordinated and integrated across scales to generate robust functional outcomes. Our research focuses on identifying the yin and yang of various neural computations performed by different brain regions and the collective network stability during network dynamical changes induced by experience, learning, disease, and neurogenesis.

One of our approaches involves exploiting the reparative regenerative capability of the brain to rewire existing distributed circuitry promoted by adult neurogenesis in the hippocampus. By promoting adult neurogenesis through several experience paradigms, we aim to delay the onset of multiple neurodegenerative diseases and various forms of brain injury. Knowledge of large-scale neural dynamics has a promising future impact. We can create more effective neuroscience-oriented computational models and develop advanced artificial intelligence (AI) frameworks. Furthermore, we can expand the reach of memory neuromorphic brain-inspired sensors and chips into new applications in health and disease.

Our research mission has significant societal impacts by addressing mechanisms for neurodegenerative diseases such as Alzheimer’s disease and advancing novel bioelectronics therapies that could have direct translational targets.

Guided by our unique engineering platforms and computational frameworks, we gather multiscale and multimodal experimental information with possible neural network modulation to provide unique large-scale readouts from genes to functional network levels at high spatiotemporal resolution. Our experimental neuroscience is empowered by novel brain-on-chip technology and methods to enhance neuronal interface for novel readouts. At the same time, we have implemented several computational tools to analyze our multidimensional data and provide a deeper characterization of neuronal communication in circuits and networks using graph analysis, biophysical modeling, control theory, and machine learning tools.

At BIONICS, we are driven by our passion for understanding the complexity of neural computations across scales and linking neuroscience, neurotechnology, and computer science on all levels. We strive to uncover the network deficit mechanisms underlying brain dysfunctions, identify novel targets for developing more efficacious therapeutics, and promote the development of next-generation brain-machine interfaces for restoring and enhancing memory functions impaired in diseases and injuries.