A collective research effort by scientists working in laboratories around the world, this book addresses issues covering all aspects of neural population coding. This volume, with contributions from distinguished neuroscientists, is divided into six sections containing a historical overview of the concept of neural population, introducing a series of new experimental paradigms and analytical techniques for investigating potential neural coding schemes and four sections focusing on recent advances in population coding in a broad range of areas of brain research.

Table of Contents

List of contributors. Preface. Section I. The history of population coding. 1. Population coding: a historical sketch (J.T. McIlwain). 2. The evolution of population and modular neural coding ideas (R.P. Erickson). Section II. New approaches to investigate population coding. 3. Overcoming the limitations of correlation analysis for many simultaneously processed neural structures (L.A. Baccalá, K. Sameshima). 4. Distributed processing in cultured neuronal networks (S.M. Potter). 5. Long-term chronic multichannel recordings from sensorimotor cortex and thalamus of primates (N. Jain, H.-X. Qi, J.H. Kaas). Section III. Population coding in sensory systems. 6. Temporal and spatial coding in the rata vibrissal system (E. Ahissar, M. Zacksenhouse). 7. Thalamocortical and corticocortical interactions in the somatosensory system (M.A.L. Nicolelis, M. Shuler). 8. Synchronization and assembly formation in the visual cortex (W.A. Freiwald, A.K. Kreiter, W. Singer). 9. Divergence and reconvergence: multielectrode analysis of feedforward connections in the visual system (R.C. Reid). 10. Comparative population analysis of cortical representations in parametric spaces of visual field and skin: a unifying role for nonlinear interactions as a basis for active information processing across modalities (H.R. Dinse, D. Jancke). 11. Coordinate transformations in the visual system: how to generate gain fields and what to compute with them (E. Salinas, L.F. Abbott). 12. Exploring olfactory population coding using an artificial olfactory system (J. White, J.S. Kauer). 13. Neural population coding in the aud


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© 2001
Elsevier Science
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About the editor

M.A.L. Nicolelis

Affiliations and Expertise

Duke University, Department of Neurobiology, Bryan Research Building, 101 Research Drive, Durham, NC 27710, USA