Heather Ames

Neurala LLC


Neurala is interested in various application domains including but not limited to acoustic scene analysis, remote sensing, financial time series forecasting, and intrusion detection, just to name a few.  Two of Neurala’s major projects are highlighted below.


Neurala applications

remote sensing
a Identifying objects in remote sensing data is a challenging task that requires highly skilled and costly human experts to analyze massive amount of digital data.  Neurala has developed a remote sensing software platform for the purpose of developing automatic methods to delineate water flow and soil loss from LIDAR data. The application of bio-inspired machine vision and classification algorithms is key to accurately and quickly process large amount of remote sensing data, extracting knowledge that is then applied to make better and faster decisions in soil conservation practices.


acoustic scene analysis
a Classifying sounds in real time in mobile platforms has great potential for civilian and military applications. Neurala collaborated with Biomimetic Systems (BMS) to perform acoustic scene classification for military applications. This work is part of a larger project called Red Owl, a collaboration between Boston University, iRobotInsight Technology, and BMS. The system, assembled for use on iRobot’s unmanned PackBot robots, models of which are now deployed in Iraq and Afghanistan, is designed to enhance the situational awareness of soldiers in the battlefield. The system is undergoing extensive testing by multiple groups within the armed forces.

Watch the videos of Neurala's Technology Platform while it classifies sounds in real-time