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Information Encoding and Reconstruction by Phase Coding of Spikes

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Analysis and Modeling of Coordinated Multi-neuronal Activity

Part of the book series: Springer Series in Computational Neuroscience ((NEUROSCI,volume 12))

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Abstract

Each part of the central nervous system communicates with the others by means of action potentials sent through parallel pathways. Despite the progressively increasing spatial and temporal variation added to the pattern of action potentials at each level of sensory processing, the integrity of information is retained with high precision. What is the mechanism that enables the precise decoding of these action potentials? This chapter is devoted to explaining the transformations of sensory input when information is encoded and decoded in the cortical circuitries. To unravel the full complexity of the problem, we discuss the following questions: Which features of the action potential patterns encode information? What is the relationship between action potentials and oscillations in the brain? What is the segmentation principle of spike processes? How is the precise spatiotemporal pattern of sensory information retained after multiple convergent synaptic transmissions? Is compression involved in the neural information transfer? If so, how is that compressed information decoded in cortical columns? What is the role of gamma oscillations in information encoding and decoding? How are time and space encoded? We illustrate these problems through the example of visual information processing. We contend that phase coding not only answers all these questions, but also provides an efficient, flexible, and biologically plausible model for neural computation. We argue that it is timely to begin thinking of the fundamentals of neural coding in terms of the integration of action potentials and oscillations, which, respectively, constitute the discrete and continuous aspects of neural computation.

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Acknowledgment

I thank Anushri Kushwaha, Peter Nguyen, William S. Shipman, Kate Tevis, and Chandni Mahendru for their editorial work and proofreading the manuscript.

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Authors and Affiliations

  1. NeuroTexas Institute Research Foundation, 1015 E. 32nd Street, Suite 404, Austin, TX, 78705, USA

    Zoltan Nadasdy Ph.D.

  2. Department of Psychology, The University of Texas at Austin, 1 University Station A8000, Austin, TX, 78712-0187, USA

    Zoltan Nadasdy Ph.D.

  3. Department of Cognitive Psychology, Eötvös Loránd University, Izabella utca 46, Budapest, 1064, Hungary

    Zoltan Nadasdy Ph.D.

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Correspondence to Zoltan Nadasdy Ph.D. .

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  1. The University of Lethbridge, Lethbridge, Alberta, Canada

    Masami Tatsuno

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Nadasdy, Z. (2015). Information Encoding and Reconstruction by Phase Coding of Spikes. In: Tatsuno, M. (eds) Analysis and Modeling of Coordinated Multi-neuronal Activity. Springer Series in Computational Neuroscience, vol 12. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-1969-7_13

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