David H. Goldberg, Ph.D.

I am a principal systems engineer at Equinox Corporation, working on image processing, computer vision, augmented reality, and brain-computer interfacing.

I am a visiting fellow in the Department of Physiology and Biophysics at Weill Cornell Medical College. I am a member of the Laboratory of Neuroinformatics, where I assist with the development and maintenance of the Spike Train Analysis Toolkit.

Understanding the brain

Computational neuroscience/neural coding

• Goldberg, D.H. and Andreou, A.G. (2007). Distortion of Neural Signals by Spike Coding. Neural Computation, 19(10): 2797-2839. Free manuscript version.
• Goldberg, D.H., et al. (2003). Energy efficiency in a channel model for the spiking axon. Neurocomputing, 52-54: 39-44.

Computational neuroinformatics

• Goldberg, D.H., et al. (2009). Spike Train Analysis Toolkit: Enabling Wider Application of Information-Theoretic Techniques to Neurophysiology. Neuroinformatics, 7(3):165-178.
• Gardner, D., et al. (2008). Terminology for Neuroscience Data Discovery: Multi-Tree Syntax and Investigator-Derived Semantics. Neuroinformatics, 6(3):161-174.
• Gardner, D., et al. (2008). The Neuroscience Information Framework: A Data and Knowledge Environment for Neuroscience. Neuroinformatics, 6(3):149-160.
• Victor, J.D., et al. (2007). Dynamic Programming Algorithms for Comparing Multineuronal Spike Trains via Cost-Based Metrics and Alignments. J. Neurosci. Methods, 161(2):351-360.

Computing architectures and signal representations for distributed systems

Neuromorphic engineering

• Vogelstein, R.J., et al. (2003). Spike Timing-Dependent Plasticity in the Address Domain. NIPS 15.
• Goldberg, D.H., et al. (2001). Probabilistic Synaptic Weighting in a Reconfigurable Network of VLSI Integrate-and-Fire Neurons. Neural Networks, 14(6-7): 781-793.

Sensor networks

• Goldberg, D.H., et al. (2006). VLSI Implementation of an Energy-Aware Wake-Up Detector for an Acoustic Surveillance Sensor Network. ACM Trans. Sensor Networks, 2(4): 594-611.
• Julián, P., et al. (2006). A Low-Power Correlation-Derivative CMOS VLSI Circuit for Bearing Estimation. IEEE Trans. VLSI Systems, 14(2): 207-212.
• Julián, P., et al. (2004) A Comparative Study of Sound Localization Algorithms for Energy Aware Sensor Network Nodes. IEEE Trans. Circuits and Systems I, 51(4): 640-648.

Complete publications listing

2006-2008

I was a principal systems engineer at BrainMedia LLC, where I used my expertise in signal processing and neuroscience to develop next-generation audio compression schemes.

2004-2006

I was a postdoctoral associate in the Department of Physiology and Biophysics at Weill Cornell Medical College. I was a member of the Laboratory of Neuroinformatics, supervised by Daniel Gardner, and I developed the Spike Train Analysis Toolkit with Jonathan Victor and Dr. Gardner.

1998-2003

I received my Ph.D. from the Department of Electrical and Computer Engineering at Johns Hopkins University in Baltimore, MD. I was a member of the Sensory Communication & Microsystems Laboratory of Andreas Andreou. I was also affiliated with the Adaptive Microsystems Laboratory of Gert Cauwenberghs. My doctoral dissertation is entitled Efficient Spike Communication and Computation in Biological and Engineered Systems.

2001-2002

I designed the ASIC-based wake-up subsystem for the Signal Systems Corporation Acoustic Surveillance Unit.

Summer 1999

I worked as an ASIC design intern at Atmel's Chesapeake Design Center in Columbia, MD. My work may have ended up in this product.

1994-1998

I received my Sc.B. from Brown University, in Providence, RI, where I concentrated in electrical engineering and neuroscience. I was a research assistant in Leon Cooper's lab at the Institute for Brain and Neural Systems.

Before 1994

I was born and raised in Rockland County, New York, approximately 30 miles northwest of Manhattan.