Where possible, links are made to a digital object identifier (DOI) and Google Scholar.
| Contents | |
| Journal articles |
Goldberg, D.H., Victor, J.D., Gardner, E.P., Gardner, D. (2009). Spike Train Analysis Toolkit: Enabling Wider Application of Information-Theoretic Techniques to Neurophysiology. Neuroinformatics, 7(3):165-178. Gardner, D., Goldberg, D.H., Grafstein, B., Robert, A., and Gardner, E.P. (2008). Terminology for Neuroscience Data Discovery: Multi-Tree Syntax and Investigator-Derived Semantics. Neuroinformatics, 6(3):161-174. Gardner, D., Akil, H., Ascoli, G.A., Bowden, D.M., Bug, W., Donohue, D.E., Goldberg, D.H., Grafstein, B., Grethe, J.S., Gupta, A., Halavi, M., Kennedy, D.N., Marenco, L., Martone, M.E., Miller, P., Müller, H.-M., Robert, A., Shepherd, G.M., Sternberg, P.W., Van Essen, D.C., Williams, R.W. (2008). The Neuroscience Information Framework: A Data and Knowledge Environment for Neuroscience. Neuroinformatics, 6(3):149-160. Goldberg, D.H. and Andreou, A.G. (2007). Distortion of Neural Signals by Spike Coding. Neural Computation, 19(10): 2797-2839. Victor, J.D., Goldberg, D.H., and Gardner, D. (2007). Dynamic Programming Algorithms for Comparing Multineuronal Spike Trains via Cost-Based Metrics and Alignments. Journal of Neuroscience Methods, 161(2):351-360. Goldberg, D.H., Andreou, A.G., Julián, P., Pouliquen, P.O., Riddle, L., and Rosasco, R. (2006). VLSI Implementation of an Energy-Aware Wake-Up Detector for an Acoustic Surveillance Sensor Network. ACM Transactions on Sensor Networks, 2(4): 594-611. Julián, P., Andreou, A.G., Goldberg, D.H. (2006). A Low-Power Correlation-Derivative CMOS VLSI Circuit for Bearing Estimation. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 14(2): 207-212. Julián, P., Andreou, A.G., Riddle, L., Shamma, S., Goldberg, D.H., and Cauwenberghs, G. (2004). A Comparative Study of Sound Localization Algorithms for Energy Aware Sensor Network Nodes. IEEE
Transactions on Circuits and Systems I: Regular Papers, 51(4): 640-648.
Goldberg, D.H. and Andreou, A.G. (2004). Spike Communication of Dynamic Stimuli: Rate Decoding versus Temporal Decoding. Neurocomputing, 58-60: 101-107. Goldberg, D.H., Sripati, A.P., and Andreou, A.G. (2003). Energy efficiency in a channel model for the spiking axon. Neurocomputing, 52-54: 39-44. Goldberg, D.H., Cauwenberghs, G., and Andreou, A.G. (2001).
Probabilistic Synaptic Weighting in a Reconfigurable Network of VLSI Integrate-and-Fire Neurons. Neural Networks, 14(6-7): 781-793. Shouval, H.Z., Goldberg, D.H., Jones, J.P., Beckerman, M., and Cooper, L.N (2000). Structured long-range connections can provide a scaffold for orientation maps. Journal of Neuroscience, 20(3): 1119-1128. Goldberg, D.H., Shouval, H., and Cooper, L.N (1999). Lateral connectivity as a scaffold for developing orientation preference maps. Neurocomputing, 26-27: 381-387. |
| Conference proceedings |
Julian, P., Andreou, A.G., Cauwenberghs, G., Stanacevic, M., Goldberg, D., Mandolesi, P.S., Riddle, L., and Shamma, S. (2005). Field Test Results for Low Power Bearing Estimator Sensor Nodes. In Proceedings of the 2005 International Symposium on Circuits and Systems, pp. 4205-4208. Goldberg, D.H., Andreou, A.G., Julián, P., Pouliquen, P.O., Riddle, L., and Rosasco, R. (2004). A Wake-Up Detector for an Acoustic Surveillance Sensor Network: Algorithm and VLSI Implementation. Proceedings of the third international symposium on information processing in sensor networks, pp. 134-141. New York: ACM Press. Julián, P., Andreou, A., Mandolesi, P., Goldberg, D. (2003). A low-power CMOS integrated circuit for bearing estimation. In Proceedings of the 2003 International Symposium on Circuits and Systems. Volume 5. 305-308. Vogelstein, R.J., Tenore, F., Philipp, R., Adlerstein, M.S., Goldberg, D.H., and Cauwenberghs, G. (2003). Spike Timing-Dependent Plasticity in the Address Domain. In Becker, S., Thrun, S., and Obermayer, K. Advances in Neural Information Processing Systems 15. Cambridge, MA: MIT Press. Goldberg, D.H., Cauwenberghs, G., and Andreou, A.G. (2001). Analog VLSI Spiking Neural Network with Address Domain Probabilistic Synapses. In Proceedings IEEE International Symposium on Circuits and Systems, vol. 3, pp. 241-244. Piscataway, NJ: IEEE. Andreou, A.G., Goldberg, D.H., Culurciello, E., Stanacevic, M., Cauwenberghs, G., and Riddle, L. (2001). Heterogeneous Integration of Biomimetic Acoustic Microsystems. In Proceedings IEEE International Symposium on Circuits and Systems, vol. 3, pp. 189-192. Piscataway, NJ: IEEE. |
| Other conference presentations |
Gardner, D., Chan, E., Goldberg, D.H., Jagdale, A.B., Robert, A. Victor, J.D. (2007). Neurodatabase.org and neuroanalysis.org: Tools and resources for data discovery. Society for Neuroscience Abstracts, vol. 37, no. 100.10. Goldberg, D.H., Chan, E., Jagdale, A.B., Victor, J.D., Gardner, D. (2007). Computational Neuroinformatics: Web-Enabled Tools for Neuroscience Data Discovery. Biophysical Society Abstracts, vol. 91, no. 531-Pos. Goldberg, D.H., Gardner, E.P., Victor, J.D., and Gardner, D. (2006). Metric space analysis of neuronal ensembles in parietal cortex during prehension. Society for Neuroscience Abstracts, vol. 36, no. 147.7 Goldberg, D.H., Victor, J.D., Gardner, E.P., and Gardner, D. (2006). Computational Neuroinformatics: Toward Distributed Neuroscience Data Discovery. Computational Neuroscience Meeting. Goldberg, D.H., Victor, J.D., and Gardner, D. (2006). Neuroinformatic Resources for Single- and Multi-Neuron Spike Train Analysis. Computational and Systems Neuroscience (COSYNE), no. 59. Goldberg, D.H., Victor, J.D., Gardner, D. (2006). Computational Neuroinformatic Toolkit I: Information Theoretic Analysis of Spike Trains. Biophysical Society Abstracts, vol. 90, no. 1244-Pos. Vaknin, R., Goldberg, D.H., Victor, J.D., Gardner, E.P., Debowy, D.J., Babu, K.S., and Gardner, D. (2005). Metric Space Analysis of Spike Trains in Parietal Cortex During Prehension. Society for Neuroscience Abstracts, vol. 35, no. 984.20. Goldberg, D.H., Victor, J.D., and Gardner, D. (2005). The Spike Train Analysis Toolkit: A Component of a Computational Neuroinformatic Resource. Society for Neuroscience Abstracts, vol. 35, no. 984.19. Goldberg, D.H., Victor, J.D., and Gardner, D. (2005). Neuroinformatic Resources for the Information-Theoretic Analysis of Spike Trains. Computational and Systems Neuroscience (CoSyNe), Salt Lake City. Goldberg, D.H., Victor, J.D., and Gardner, D. (2004). Computational Neuroinformatics: Towards Information Theoretic Analyses of Neural Coding. Society for Neuroscience Abstracts, vol. 34, no. 1032.9. San Diego. Goldberg, D.H., Gardner, D., and Victor, J.D. (2004). Towards Computational Neuroinformatics: Information Theoretic Analyses of Neural Coding. Human Brain Project Annual Conference. Bethesda, MD. Goldberg, D.H., Pouliquen, P.O., Blain Christen, J.M., Culurciello, E., and Andreou, A.G. (2001). Acoustic MEMS Integrated Sensor Arrays. In Proceedings 35th Annual Conference on Information Sciences and Systems, Baltimore. Goldberg, D.H., Cauwenberghs, G., and Andreou, A.G. (2001). Address Domain Computation for VLSI Sensory Processing. Fifth International Conference on Cognitive and Neural Systems, Boston. Goldberg, D.H., Cauwenberghs, G., and Andreou, A.G. (2000). Address-Event Representation for Communication and Computation in Neuromorphic Vision Systems. Fourth International Conference on Cognitive and Neural Systems, Boston. Shouval, H.Z., Goldberg, D.H., Jones, J.P., Shelton, W.A., Beckerman, M., and Cooper, L.N (1998). Lateral connectivity can provide a scaffold for orientation maps: A computational study. Society for Neuroscience Abstracts, vol. 27, no. 323.15. |
| Theses |
Goldberg, D.H. (2004). Efficient Spike Communication and Computation in Biological and Engineered Systems. Ph.D. thesis. Johns Hopkins University, Baltimore, MD. Goldberg, D.H. (1998). The Scaffold Model: Reconciling Plasticity and Stability in the Visual Cortex. Sc.B. thesis. Brown University, Providence, RI. |