Raman’s research interests include computational and systems neuroscience, pattern recognition, sensor-based machine olfaction and bio-inspired intelligent systems.
His research combines theoretical and electrophysiological approaches to study how brain processes complex sensory signals (especially the olfactory cues), and to identify fundamental principles of neural computation. In parallel, he is also involved with the development of novel neuromorphic devices (such as an ‘electronic nose’) and algorithms that have potential applications in biomedical, homeland security, robotics and human computer interaction domains.
One locust is harmless, a swarm can be devastating. A new multi-institutional, multi-disciplinary project involving a researcher at Washington University in St. Louis aims to understand how swarms arise — and how to combat them.
Research from the McKelvey School of Engineering at Washington University in St. Louis has determined that locusts can smell explosives and determine where the smells originated — an important step in engineering cyborg bomb-sniffing locusts.
Engineers from the McKelvey School of Engineering want to know if they can use nanotechnology to control neurons and parse the relationship between neural activity and behavior and disease.
