Principles of Neural Coding

ISBN: 9781439853306 出版年：2013 页码：625 CRC Press

Section I Methods Physiological Foundations of Neural Signals Kevin Whittingstall and Nikos K. Logothetis Biophysics of Extracellular Spikes Costas A. Anastassiou, Gyoergy Buzsaki, and Christof Koch Local Field Potentials: Biophysical Origin and Analysis Gaute T. Einevoll, Henrik Linden, Tom Tetzlaff, Szymon Leski, and Klas H. Pettersen Spike Sorting Juan Martinez and Rodrigo Quian Quiroga Spike-Train Analysis Ines Samengo, Daniel Elijah, and Marcelo A. Montemurro Synchronization Measures Thomas Kreuz Role of Correlations in Population Coding Peter E. Latham and Yasser Roudi Decoding and Information Theory in Neuroscience Rodrigo Quian Quiroga and Stefano Panzeri Section II Experimental Results Neural Coding of Visual Objects Charles E. Connor Coding in the Auditory System Jan Schnupp Coding in the Whisker Sensory System Mathew E. Diamond and Ehsan Arabzadeh Neural Coding in the Olfactory System Ron A. Jortner Coding across Sensory Modalities: Integrating the Dynamic Face with the Voice Chandramouli Chandrasekaran and Asif A. Ghazanfar Population Coding by Place Cells and Grid Cells Jill K. Leutgeb, Emily A. Mankin, and Stefan Leutgeb Coding of Movement Intentions Hansjoerg Scherberger, Rodrigo Quian Quiroga, and Richard A. Andersen Neural Coding of Short-Term Memory Stefanie Liebe and Gregor Rainer Role of Temporal Spike Patterns in Neural Codes Rasmus S. Petersen Adaptation and Sensory Coding Miguel Maravall Sparse and Explicit Neural Coding Peter Foeldiak Information Coding by Cortical Populations Kenneth D. Harris Information Content of Local Field Potentials: Experiments and Models Alberto Mazzoni, Nikos K. Logothetis, and Stefano Panzeri Principles of Neural Coding from EEG Signals Fernando H. Lopes da Silva Gamma-Band Synchronization and Information Transmission Martin Vinck, Thilo Womelsdorf, and Pascal Fries Decoding Information from fMRI Signals Jakob Heinzle and John-Dylan Haynes Section III Theoretical and In Silico Approaches Dynamics of Neural Networks Nicolas Brunel Learning and Coding in Neural Networks Timothee Masquelier and Gustavo Deco Ising Models for Inferring Network Structure from Spike Data John A. Hertz, Yasser Roudi, and Joanna Tyrcha Vocal Learning with Inverse Models Richard H. R. Hahnloser and Surya Ganguli Computational Models of Visual Object Recognition Gabriel Kreiman Coding in Neuromorphic VLSI Networks Giacomo Indiveri Open-Source Software for Studying Neural Codes Robin A. A. Ince