Visual Population Codes
– towards a common multivariate framework for cell recording and functional imagingPublisher: MIT Press
Editors: Nikolaus Kriegeskorte and Gabriel Kreiman
List of chapters and authors
Introduction
Gabriel Kreiman and Nikolaus KriegeskorteChapter 1: Grandmother cells and distributed representations
Simon J. ThorpeChapter 2: Strategies for finding neural codes
Sheila NirenbergChapter 3: Multineuron representations of visual attention
Jasper Poort, Arezoo Pooresmaeili and Pieter RoelfsemaChapter 4: Decoding early visual representations from fMRI ensemble responses
Yukiyasu KamitaniChapter 5: Understanding visual representation by developing receptive-field models
Kendrick N. Kay
Chapter 6: System Identification, Encoding Models, and Decoding Models: A Powerful New Approach to fMRI Research
Jack L. Gallant, Shinji Nishimoto, Thomas Naselaris, and Michael C. K. Wu
Chapter 7: Population Coding of Object Contour Shape in V4 and Posterior Inferotemporal Cortex
Anitha Pasupathy and Scott L. BrincatChapter 8: Measuring Representational Distances: The Spike-Train Metrics Approach
Conor Houghton and Jonathan D. VictorChapter 9: The Role of Categories, Features, and Learning for the Representation of Visual Object Similarity in the Human Brain
Hans P. Op de BeeckChapter 10: Ultrafast Decoding from Cells in the Macaque Monkey
Chou P. Hung and James J. DiCarloChapter 11: Representational Similarity Analysis of Object Population Codes in Humans, Monkeys, and Models
Nikolaus Kriegeskorte and Marieke MurChapter 12: Three Virtues of Similarity-Based Multivoxel Pattern Analysis: An Example from the Human Object Vision Pathway
Andrew C. Connolly, M. Ida Gobbini, and James V. HaxbyChapter 13: Investigating High-Level Visual Representations: Objects, Bodies, and Scenes
Dwight J. Kravitz, Annie W-Y. Chan, and Chris BakerChapter 14: To Err Is Human: Correlating fMRI Decoding and Behavioral Errors to Probe the Neural Representation of Natural Scene Categories
Dirk B. Walther, Diane M. Beck, and Li Fei-FeiChapter 15: Decoding Visual Consciousness from Human Brain Signals
John-Dylan HaynesChapter 16: Probabilistic Codes and Hierarchical Inference in the Brain
Karl FristonChapter 17: Introduction to the Anatomy and Function of Visual Cortex
Kendra Burbank and Gabriel KreimanChapter 18: Introduction to Statistical Learning and Pattern Classification
Jed Singer and Gabriel Kreiman
LINK TO CODE
Chapter 19: Tutorial on Pattern Classification in Cell Recording
Ethan Meyers and Gabriel KreimanChapter 20. Tutorial on Pattern Classification in Functional Imaging
Marieke Mur and Nikolaus KriegeskorteChapter 21: Information-Theoretic Approaches to Pattern Analysis
Stefano Panzeri and Robin A. A. InceChapter 22: Local Field Potentials, BOLD, and Spiking Activity: Relationships and Physiological Mechanisms
Philipp Berens, Nikos K. Logothetis, and Andreas S. Tolias
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