These publications are listed in reverse chronological order. To view these publications you need Adobe Acrobat Reader.

Most publications on this list and anything since 2007 can be found at our filterable bibliography.

Parisien, C., C. H. Anderson, and C. Eliasmith (in press). Solving the problem of negative synaptic weights in cortical models. Neural Computation. (pdf penultimate version).

Tripp, B. and C. Eliasmith (2007). Neural populations can induce reliable postsynaptic currents without observable spike rate changes or precise spike timing. Cerebral Cortex. 17:1830-1840 (on-line) (pdf penultimate version).

Singh, R. and C. Eliasmith (2006). Higher-dimensional neurons explain the tuning and dynamics of working memory cells. Journal of Neuroscience. 26: 3667-3678. (pdf version).

Kuo, D. and C. Eliasmith (2005) Integrating behavioral and neural data in a model of zebrafish network interaction. Biological Cybernetics. 93(3): 178-187 (pdf version - penultimate).

Eliasmith, C. (2005). A unified approach to building and controlling spiking attractor networks. Neural Computation. 17(6): 1276-1314 (pdf version - penultimate)

Conklin, J. and C. Eliasmith (2005). An attractor network model of path integration in the rat. Journal of Computational Neuroscience. 18: 183-203 (pdf version)

Eliasmith, C. (2004). Learning context sensitive logical inference in a neurobiological simulation. in Levy, S. and Gayler, R. (eds.). Compositional Connectionism in Cognitive Science. AAAI Fall Symposium. AAAI Press. p. 17-20. (pdf version).

Kuo, D. and C. Eliasmith (2004). Understanding interactions between networks controlling distinct behaviors: Escape and swimming in larval zebrafish. Neurocomputing. 58-60: 541-547. (pdf version)

Eliasmith, C. (2003). Moving beyond metaphors: Understanding the mind for what it is. Journal of Philosophy. C(10):493-520. (pdf version)

Eliasmith, C. (2003). Neural engineering: Unraveling the complexities of neural systems. IEEE Canadian Review. 43:13-15. (pdf version)

Eliasmith, C. and C. H. Anderson (2003). Neural Engineering: Computation, Representation and Dynamics in Neurobiological Systems. MIT Press. [more info]

Eliasmith, C., M. B. Westover, and C. H. Anderson (2002). A general framework for neurobiological modeling: An application to the vestibular system. Neurocomputing. 44, 1071-1076. [download]

M. B. Westover, C. Eliasmith and C. H. Anderson (2002). Linearly decodable functions from neural population codes. Neurocomputing. 44, [download]

Eliasmith, C. and C. H. Anderson (2001). Beyond bumps: Spiking networks that store smooth n-dimensional functions. Neurocomputing. 38, 581-586.[download]

Eliasmith, C. and C. H. Anderson (2000). Rethinking central pattern generators: A general framework. Neurocomputing. 32-33(1-4): 735-740 [download]

Nenadic, Z., C. H. Anderson, and B. Ghosh (unpublished) Control of arm movements using a population of neurons. [download]

Eliasmith, C. and C. H. Anderson (1999). Developing and applying a toolkit from a general neurocomputational framework. Neurocomputing. 26: 1013-1018. [download]

Hakimian, S., C. H. Anderson, et al. (1999). A PDF model of populations of purkinje cells. Neurocomputing. 26. [download]

Anderson, C. H., Q. Huang, J. W. Clark (1999). Harmonic Analysis of Spiking Neuronal Pairs. Proceedings of CNS *99. [download]

Olshausen, B. A., C. H. Anderson, et al. (1993). A neurobiological model of visual attention and invariant pattern recognition based on dynamic routing of information. The Journal of Neuroscience 13(11): 4700-4719. [download]

Anderson, C. H. (1998). Modeling population codes. Computational Neuroscience 98 (CNS *98), Santa Barbara, CA, Elsevier. [download]

Anderson, C. H. (1998). Unified population-temporal (PT) codes. Neurosciences, Los Angeles, CA. [download]

Anderson, C. H. and D. C. Van Essen (1995). Neurobiological computational systems. IEEE World Congress on Computational Intelligence. [download]