INL

Integrated Neurotechnologies Laboratory

Our research at INL lies at the intersection of circuit design, machine learning, and neuroscience, and our mission is to develop new diagnostic and therapeutic devices for neurological and neuropsychiatric disorders.

We use advanced circuit design techniques to build low-power and miniaturized system-on-chips (SoCs) that can record neural activity, detect brain dysfunction in real time, and respond by therapeutic intervention such as neurostimulation. We use machine learning techniques for accurate detection of neurological symptoms in closed-loop neural implants, and for motor decoding in brain-machine interface systems.

INL News

Our recent work on ResOT: Resource-Efficient Oblique Trees for Neural Signal Classification has been accepted to the IEEE Transactions on Biomedical Circuits and Systems (TBioCAS). Congratulations Bingzhao!

Our work on ML-based detection of tremor for Parkinson’s disease has been published in Clinical Neurophysiology. Congratulations Lin!

Received the Google Faculty Research Award 2019 for research in Machine Learning and Data Mining

I will chair the Emerging Technology Session at CICC 2020, on Energy-Efficient Wearable, Implantable, and IoT Devices

Our work on traumatic brain injury in collaboration with Weill Cornell Medicine has been accepted to ICASSP 2020

Our paper on “Cost-Efficient Classification for Neurological Disease Detection” has been accepted for a Lecture presentation at BioCAS 2019 in Nara, Japan. Congratulations Bingzhao!

We will present our work on ML-based motor decoding for minimally-invasive ECoG-BMIs at the SfN 2019 in Chicago and Asilomar 2019

Two papers accepted to the Asilomar Conference on Signals, Systems and Computers. Congratulations Lin and Bingzhao!

Our paper on migraine classification published in Cephalalgia journal is now available online

Paper accepted to NeuroImage. Congratulations Lin!

Paper accepted to NER’19

Poster presented at the International Symposium on Translational Research in Brain Stimulation 2018 in Shanghai

Two abstracts accepted to the IEEE Brain Initiative Workshop on Advanced NeuroTechnologies in San Diego, Nov 2018

I will be serving on the technical committee of the IEEE CICC’19. Submit your best papers!

I will be co-chairing a Special Session on “On-chip machine learning design & applications” at BioCAS 2018

Lin receives one of the three International Travel Awards to attend the Symposium on Translational Research in Brain Stimulation, Sep 2018

Paper accepted for presentation at BioCAS’18, and BioCAS’18 Travel Award for Lin Yao

Paper accepted for publication in the IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I) 2018

Paper accepted for publication in the IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS) 2018

Paper accepted for presentation at ICASSP’18

Paper accepted for presentation at EMBC’18