Below is a list of the Neuromorphics Laboratory researchers only. To view our industrial and academic affliates please visit the Industry Affiliates or Academic Affiliates page.
Massimiliano Versace. Director. My interests are focused on neural networks - in particular applied to laminar cortical models of learning and memory, and how to use these computational blocks to build large-scale neural models. My goal is to progressively merge research and applications of these models to solve outstanding technological issues.
Heather Ames. Project manager. I am working on better understanding how the human brain can learn speech sound motor program representations and how those representations may be stored and accessed in normal as well as impaired subjects. My research also involves evaluating learning laws and their stability in various neural network architectures that can be used to guide neuromorphic chip development.
Andrew Browning: I work on neural models of visual control for reactive navigation. My modeling work is focuses on motion processing to determine the dynamical neural circuits responsible for perception of heading, object position, relative trajectories, and time-to-contact, as well as modeling the underlying neural circuit for applications on unmanned air and ground vehicles and embedded processors.
Ben Chandler. I am a PhD candidate at the Boston University Department of Cognitive and Neural Systems and an ACES associate at the BU Center for Computational Science. I am interested in large-scale simulation, homeostatic plasticity, evolutionary programming, and all things technology.
Byron Galbraith. Byron is a PhD student in the Cognitive and Neural Systems program at Boston University. His current research interests are in high-performance computing with GPUs, spiking neural networks, the brain-computer interface, and Python in computational neuroscience.
Anatoli Gorchetchnikov. My research interest include biologically-inspired spatial navigation, large-scale neural models, and software infrastructure that allows neuroscientists to implement complex models of brain areas, and use these models to control behavior.
Tim Barnes. Why does motion suddenly render camouflage ineffective? I study biological methods of detecting local visual motion as well as perceiving object and scene structure from patterns of these local motion signals across an animal's visual field. I am also currently translating these methods to autonomous navigation and obstacle avoidance in driving and flying robots.
Gennady Livitz. My dissertation research was related to modeling neural mechanisms underlying color perception. My research interests include development of brain modeling environment for biologically inspired neuromorphic computations. I am also interested in modeling of a visual system that is characterized by a high degree of receptoral and spatial variability aimed to produce stable results in response to visual images.
Sean Lorenz. I am currently working on an EEG-based non-invasive brain-computer interface that can be used in robust settings outside a lab environment, and subsequently used to control either a robot or an augmentative and alternative communication device. My interests also include intelligent user interface design as well as translating brain-based modelling from the lab to industry application.
Ennio Mingolla. I work on development and empirical testing of neural network models of visual perception, notably the segmentation, grouping, and contour formation processes of early and middle vision in primates, and on the transition of these models to technological applications. Please see the CNS Vision Lab and DARPA HP/SyNAPSE Project for more about my research.
Sean Patrick. I am a PhD candidate at the Boston University department of Cognitive and Neural Systems. I am interested in the application of neuromorphic systems in the fields of robotics and prosthetics, with a particular interest in fine motor coordination and balance.
Florian Raudies. My research interest is in visual navigation: the processing and perception of visual motion from the level of local processing toward the formation of coherent percepts of global scene or object motion. Together with several international collaborators I develop models of the neural circuitry for visual motion processing and its influence on behavior during visual navigation task
Aisha Sohail. My research interests include modeling dynamical systems, especially the brain, financial systems, and climate patterns. At the lab, I am currently working on modeling the human auditory system, which includes modeling how the cochlea transforms sound into a form that is discernible by the human auditory cortex, and testing my models in a customized virtual environment. I hope to learn the fundamentals of simulating large-scale systems from my experience at the lab, and look forward to applying these methods to create interdisciplinary models of natural systems.
Lena Sherbakov. I am a PhD candidate in the Graduate Program for Neuroscience. My interest is in computation theories of how the brain processes and unifies information across different spatial and temporal scales. I’m interested in the modulatory role of attention and memory in learning, and the reproduction of biological computation in artificial systems.


The Neuromorphics Lab is highly collaborative with connections across both academia and industry.