Welcome to BrainX

BrainX group focuses on exploring and developing neuromorphic computing and its applications. Our research involves several aspects, including AI hardware, novel brain-inspired learning algorithms, and their applications in robotics, autonomous systems, and medical devices.To advance these scientific fields, we dedicate our efforts to these research directions:

Neuromorphic embodied AI systems for neuroscience and robot studies;
Neuromorphic neural prosthesis for memory restoration and Alzheimer's disease;
Power-efficient adaptive Deep Brain Stimulation (aDBS) for Parkinson's diseases;
Neuromorphic chip design with memristors.

We operate Neuromorphic Robotics Lab and Neuromorphic Brain-Machine Interface Lab. For more information about our latest outcomes, please see publication and research.

Research Highlight

Demonstrating Online Self-Learning Capability of a Neuromorphic Robot in an Open-Field Arena

Associative_Learning.mp4

Experiment_video_for_slide.mp4

This work replicates the associative learning observed in rodents in the open-field arena by memorizing the causal relationship between conditional and unconditional stimuli.

The self-learning robot automatically memorizes (without pre-training) the relationship between a red-colored wall and the road bumpers when these two stimuli are detected at same time. In this work acceleration (vibration) from the road bumper is assigned as the unconditional and aversive stimulus, while the red-colored wall is assigned as the neutral stimulus. Before associative learning, the neuromorphic robot has no response to red colored wall. After associative learning, the neuromorphic robot evokes an avoidance action (retreating or turning to other directions) when it detects the red color with its camera.

Media Highlight

To Join Our Team

For postdocs, graduate students, and undergraduate students interested in working in our group, please send your CV to hongyua@mtu.edu.

Page updated

Report abuse

Welcome to BrainX

Research Highlight

Demonstrating Online Self-Learning Capability of a Neuromorphic Robot in an Open-Field Arena

Media Highlight

Symptom-responding deep brain stimulation system in development

What if robots could learn as efficiently as humans using associative memory

From wafers to chips: Virginia Tech is satisfying the craving for semiconductor advancement

To Join Our Team