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biología
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Written by renowned experts in the field, this book provides a comprehensive and up-to-date overview on neural coding. It describes the principles of neural coding, covers some of the major developments in this area, and presents a complete view of how neurons in the brain encode information. The text not only contains the most important experimental findings, but also gives an overview of the main methodological aspects for studying neural coding. In addition, the book describes alternative approaches based on simulations with neural networks and in silico modeling.
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Preface: Rodrigo Quian Quiroga and Stefano Panzeri
Methods
Physiological Foundations of Neural Signals, Kevin Whittingstall and Nikos Logothetis
Biophysics of Extracellular Spikes, Costas Anastassiou, Gyorgy Buzsaki, and Christof Koch
Local Field Potentials: Biophysical Origin and Analysis, Gaute Einevoll, Henrik Linden, Tom Tetzlaff, Szymon Leski, and Klas Pettersen
Spike Sorting, Juan Martinez and Rodrigo Quian Quiroga
Spike-Train Analysis, Ines Samengo, Daniel Elijah, and Marcelo Montemurro
Synchronization Measures, Thomas Kreuz
Role of Correlations in Population Coding, Peter Latham and Yasser Roudi
Decoding and Information Theory in Neuroscience, Rodrigo Quian Quiroga and Stefano Panzeri
Experimental Results
Neural Coding of Visual Objects, Ed Connor
Coding in the Auditory System, Jan Schnupp
Somatosensory Coding, Mathew 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 Ghazanfar
Population Coding by Place Cells and Grid Cells, Jill Leutgeb, Emily Mankin, and Stefan Leutgeb
Coding of Movement Intentions, Hans Scherberger, Rodrigo Quian Quiroga, and Richard Andersen
Neural Coding of Short-Term Memory, Stefanie Liebe and Gregor Rainer
The Role of Temporal Spike Patterns in Neural Codes, Rasmus Petersen
Adaptation and Sensory Coding, Miguel Maravall
Sparse and Explicit Neural Coding, Peter Foldiak
Information Coding by Cortical Populations, Kenneth Harris
The Information Content of Local Field Potentials: Experiments and Models, Alberto Mazzoni, Nikos Logothetis, and Stefano Panzeri
Principles of Neural Coding from EEG Signals, Fernando Lopes da Silva
Gamma-Band Synchronization and Information Transmission, Martin Vinck, Thilo Womelsdorf, and Pascal Fries
Decoding Information from fMRI Signals, Jakov Heinzle and John-Dylan Haynes
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 Hertz, Yasser Roudi, and Joanna Tyrcha
Vocal Learning with Inverse Models, Richard Hahnloser and Surya Ganguli
Computational Models of Visual Object Recognition, Gabriel Kreiman
Coding in neuromorphic VLSI Networks, Giacomo Indiveri
Neuroscience open source toolboxes, Robin Ince
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