Scientists use a Multiple-Input Neural Sensor Integrated Circuit (MINS IC) to capture and eventually study high-fidelity neural signals. Unfortunately, researchers are unable to use the data to its full potential because there is no way to store information coming from the MINS IC.
As part of their Senior Design Project, Benjamin Duong, Nima Haghighi-Mood, Michael Kasparian, and Parth P. Patel (BME), members of System for Sensing Neutral Response – also known as Team MINSensory (Multiple-Input Neural Sensory) – developed a system that records and analyzes neural responses.
The team worked with Professor Ronald Knepper (ECE), Boston University, to design a complete interface suite that allows for real-time collection, analysis, and visualization of neural signals using the MINS IC.
“If neuroscientists are going to be using our product, we have to make something that’s helpful for them,” said Kasparian.
Their efforts paid off when MINSensory won the highest honor at ECE Day ’12: the P. T. Hsu Memorial Award for Outstanding Senior Design Project.
The team’s hardware interface uses a custom design PCB to capture and process analog signals using digital signal processing techniques that allows for fast data analysis. The software interface uses a color-mapped grid to show the relative intensity of all 256 nodes, as well as five user-selected wave plots of voltage vs. time.
“This combination of high fidelity neural sensing, real-time activity recognition, and real-time visualizations will provide researchers with unprecedented control and depth in their neural experimentation and will expand avenues for neural research,” the teammates wrote in their project description.