Biological Mechanisms of Neural Systems
What is Neuroengineering?
2nd generation adenovirus. Luebke Lab
The combination of quantitative method, the physical sciences, and the biological sciences has provided remarkable contributions to our understanding of biomedical phenomena, including pathologic processes and interventional strategies to correct them. There is no more obvious and enduring area of synergy than that between biomedical engineering and neuroscience. This synergy commonly termed
neuroengineering refers to the application of engineering principles to:
- Understand the biological mechanisms of neural systems (reverse engineering, e.g. sensation, neuronal disorders, etc.)
- Design or construct devices that interface or interact with the nervous system (forward engineering, e.g. neural prosthetics, equipment for treatment or diagnostics, etc.).
Schematic drawing of a model for amplitude modulation processing. Carney Lab
The Departments of Biomedical Engineering and Neurobiology & Anatomy have constructed a nationally recognized research and training enterprise in neuroengineering at the University of Rochester. In sum, neuroengineering at Rochester offers unique graduate training opportunities for individuals seeking the exciting intersection between engineering and neuroscience.
Nearly every faculty member associated with this track is a primary member of both departments. The laboratories are clustered together in the NBA wing of the School of Medicine and Dentistry. The partnership between departments means that Neuroengineering students have more resources, more exposure and more choices in research, more diversity in scientific culture, and a larger faculty and staff supporting them, than anywhere else on campus.
- Auditory distance coding in rabbit midbrain neurons and human perception: monaural amplitude modulation depth as a cue.J Neurosci. 35, 5360-72. (2015 Apr 01).
- Near-field discrimination of sound source distance in the rabbit.J Assoc Res Otolaryngol. 16, 255-62. (2015 Apr 01).
- Tone-in-noise detection using envelope cues: comparison of signal-processing-based and physiological models.J Assoc Res Otolaryngol. 16, 121-33. (2015 Feb 01).