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Section I Methods Physiological Foundations of Neural Signals Kevin Whittingstall and Nikos K. Logothetis Biophysics of Extracellular Spikes Costas A. Anastassiou, Gyorgy 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 Hansjorg 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 Foldiak 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

Table of Contents

Section I Methods

Physiological Foundations of Neural Signals

Kevin Whittingstall and Nikos K. Logothetis

Biophysics of Extracellular Spikes

Costas A. Anastassiou, György Buzsáki, and Christof Koch

Local Field Potentials: Biophysical Origin and Analysis

Gaute T. Einevoll, Henrik Lindén, Tom Tetzlaff, Szymon Łęski,

and Klas H. Pettersen

Spike Sorting

Juan Martínez and Rodrigo Quian Quiroga

Spike-Train Analysis

Inés 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

Hansjörg 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 Földiák

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

Timothée 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
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