Section 3.1
• Can one understand the mind without investigating the brain?
Section 3.2
• Why do we need to take care when making inferences about cognitive function from neuropsychological evidence?
• What do you think of Mishkin and Ungerleider’s bottom-up approach to cognitive science? Does it have advantages over Marr’s top-down approach?
Section 3.3
• Is neural network modeling a useful endeavor in cognitive science?
Section 3.4
• How does the subtraction method work?
Section 3.5
• What are the differences between the PET and fMRI technologies?
• How does event-related design work? How does it differ from the blocked-design used in PET experiments?
Section 3.6
• What do we learn from Logothetis’s experiments about the neural correlates of fMRI?
Visual Routes to Knowledge and Action: (almost) 25 Years of Two Visual Systems (talk by Melvyn Goodale, 2015)
2012 Grawemeyer Award in Psychology (brief interview on Ungerleider and Mishkin’s finding)
Representation, Development and Disintegration of Conceptual Knowledge: A Parallel-Distributed Processing Approach (lecture by McClelland)
Brainstyle Computation and Learning (lecture by David Rumelhart, recorded at Stanford University in 1987)
Connectionist Learning (lecture by David Rumelhart, recorded at Stanford University in 1990)
Topic: Connectionism (radio interview with Jay McClelland; from PhilosophyTalk)
Language processing in the brain (video from YouTube featuring Marcus Raichle)
Principles of fMRI Part 1, Module 11: Experimental Design I (lecture from YouTube Principles of fMRI channel)
3.2 The Anatomy of the Brain and the Primary Visual Pathway
Neuroanatomy tutorial (from the University of Utah medical school)
HOPES brain tutorial (from Stanford University)
Brodmann: a pioneer of human brain mapping—his impact on concepts of cortical organization (a review paper by Zilles, 2018, in Brain)
Visual Pathways in the Human Brain (animation in Breedlove, et al., Biological Psychology, Fifth Edition)
The primary visual cortex (book chapter by Schmolesky, 2007, in Webvision: The Organization of the Retina and Visual System)
Rise and fall of the two visual systems theory (paper by Rossetti et al., 2017, in Annals of Physical and Rehabilitation Medicine)
One brain – two visual systems (paper by Goodale and Milner, 2006, in The Psychologist)
3.3 Extending Computational Modeling to the Brain
Connectionism (entry from the Stanford Encyclopedia of Philosophy)
PDP resources (from the PDP lab at Stanford University)
Analysis of hidden units in a layered network trained to identify sonar targets (paper by Gorman and Sejnowski, 1988, in Neural Networks)
Letting structure emerge: connectionist and dynamical systems approaches to cognition (paper by McClelland et al., 2010, in Trends in Cognitive Sciences)
3.4 Mapping the Stages of Lexical Processing
Experimental demonstration of the lexical decision task (from Psychology Department of Hanover College)
Neuroimaging studies of word reading (review article by Fiez and Petersen, 1998, in Proceedings of the National Academy of Science)
Effects of Lexicality, Frequency, and Spelling-to-Sound Consistency on the Functional Anatomy of Reading (paper by Fiez et al., 1999, in Neuron)
The anatomy of language: contributions from functional neuroimaging (paper by Price, 2000, in Journal of Anatomy)
3.5 Studying Memory for Visual Events
Visual memory test (online demonstration)
Event-related fMRI in cognition (paper by Huettel, 1992, in Neuroimage)
Dynamic mapping of the human visual cortex by high-speed magnetic resonance imaging (paper by Blamire et al., 1992, in Proceedings of the National Academy of Science)
Event-Related fMRI: Characterizing Differential Responses (paper by Friston et al., 1998, in Neuroimage)
Event‐related fMRI and the hemodynamic response (paper by Buckner, 1998, in Human Brain Mapping)
Building Memories: Remembering and Forgetting of Verbal Experiences as Predicted by Brain Activity (paper by Wagner et al., 1998, in Science)
Comparison of blocked and event-related fMRI designs in language mapping (paper by Tie et al., 2009, in Neuroimage)
The Neural Representations Underlying Human Episodic Memory (paper by Xue, 2018, in Trends in Cognitive Sciences)
3.6 The Neural Correlates of the BOLD Signal
Local field potential (entry from Scholarpedia)
A direct quantitative relationship between the functional properties of human and macaque V5 (paper by Rees et al., 2000, in Nature Neuroscience)
What does fMRI tell us about neuronal activity? (paper by Heeger and Ress, 2002, in Nature Review Neuroscience)
The neural basis of the blood-oxygen-level-dependent functional magnetic resonance imaging signal (paper by Logothetis, 2002, in Philosophical transactions of the Royal Society of London. Series B, Biological sciences)
The Underpinnings of the BOLD Functional Magnetic Resonance Imaging Signal (paper by Logothetis, 2003, in Journal of Neuroscience)
Coupling Between Neuronal Firing, Field Potentials, and fMRI in Human Auditory Cortex (paper by Mukamel et al., 2005, in Science)
How and when the fMRI BOLD signal relates to underlying neural activity: The danger in dissociation (paper by Ekstrom, 2010, in Brain research reviews)
Interpreting BOLD: towards a dialogue between cognitive and cellular neuroscience (paper by Hall et al., 2016, in Philosophical transactions of the Royal Society of London. Series B, Biological sciences)
The Relationship Between Local Field Potentials and the Blood-Oxygenation-Level Dependent MRI Signal Can Be Non-linear (paper by Zhang et al., 2019, in Frontiers in Neuroscience)
