Understanding how populations of neurons encode information is the challenge faced by researchers in the field of neural coding. Focusing on the many mysteries and marvels of the mind has prompted a prominent team of experts in the field to put their heads together and fire up a book on the subject. Simply titled Principles of Neural Coding, this b
Section I Methods. Physiological Foundations of Neural Signals. Biophysics of Extracellular Spikes. Local Field Potentials: Biophysical Origin and Analysis. Spike Sorting. Spike-Train Analysis. Synchronization Measures. Role of Correlations in Population Coding. Decoding and Information Theory in Neuroscience. Section II Experimental Results. Neural Coding of Visual Objects. Coding in the Auditory System. Coding in the Whisker Sensory System. Neural Coding in the Olfactory System. Coding across Sensory Modalities: Integrating the Dynamic Face with the Voice. Population Coding by Place Cells and Grid Cells. Coding of Movement Intentions. Neural Coding of Short-Term Memory. Role of Temporal Spike Patterns in Neural Codes. Adaptation and Sensory Coding. Sparse and Explicit Neural Coding. Information Coding by Cortical Populations. Information Content of Local Field Potentials: Experiments and Models. Principles of Neural Coding from EEG Signals. Gamma-Band Synchronization and Information Transmission. Decoding Information from fMRI Signals. Section III Theoretical and In Silico Approaches. Dynamics of Neural Networks. Learning and Coding in Neural Networks. Ising Models for Inferring Network Structure from Spike Data. Vocal Learning with Inverse Models. Computational Models of Visual Object Recognition. Coding in Neuromorphic VLSI Networks. Open-Source Software for Studying Neural Codes. Index.