,Contents
Chapter 1 – A Brief History and Open Future of Cognitive Neuroscience.................................3
Chapter 2 – Structure and Function of the Nervous System......................................................9
Chapter 3 – Methods of Cognitive Neuroscience....................................................................15
Chapter 4 – Hemispheric Specialization...................................................................................22
Chapter 5 – Sensation and Perception.....................................................................................26
Chapter 6 – Object Recognition...............................................................................................31
Chapter 7 – Attention...............................................................................................................36
Chapter 8 – Action....................................................................................................................41
Chapter 9 – Memory................................................................................................................45
Chapter 10 – Emotion...............................................................................................................50
,Chapter 1 – A Brief History and Open Future of Cognitive Neuroscience
1. Historical Development
Cognitive neuroscience emerged from the convergence of cognitive psychology, neuroscience,
neuropsychology, computational science, and experimental biology. Its central question is how biological
processes in the nervous system generate perception, memory, language, decision-making, emotion, action,
and conscious experience.
Early explanations of mental function often relied on philosophical reasoning rather than direct measurement
of the brain. The development of experimental neuroscience gradually shifted the field toward measurable
relationships between neural activity and behavior. Lesion studies were particularly influential because
selective brain damage could reveal which functions depended on particular neural systems.
A fundamental principle developed from this work:
Brain damage can provide causal evidence about cognitive function.
However, localization should not be interpreted too simply. Complex cognitive functions generally depend on
distributed networks rather than a single isolated region.
Major historical transitions
Localization → network organization: functions were initially associated with specific brain regions;
modern approaches emphasize interacting neural networks.
Behavioral description → neural mechanism: researchers increasingly ask not only what a person
does but how neural processing produces that behavior.
Static localization → dynamic computation: cognition is understood as changing activity across time,
regions, and representational systems.
Single method → multimodal integration: imaging, electrophysiology, computational modeling,
neuropsychology, and behavioral experiments are increasingly combined.
The development of brain-imaging techniques was particularly important because researchers could
investigate human brain activity without requiring neurological injury. Functional magnetic resonance imaging
(fMRI), positron emission tomography (PET), electroencephalography (EEG), magnetoencephalography (MEG),
and other techniques provided complementary information about neural structure and function.
2. Foundations of Cognitive Neuroscience
Cognitive neuroscience investigates cognition at multiple levels of analysis. No single level is sufficient for
explaining complex behavior.
Level Central question Example
Behavioral What does the organism do? Reaction-time differences
Cognitive What mental process is involved? Selective attention
Computational What information-processing problem is solved? Evidence accumulation
Neural Which neural systems implement the process? Frontoparietal networks
Cellular How do neurons implement processing? Synaptic transmission
, Level Central question Example
Molecular Which biological mechanisms support activity? Neurotransmitter signaling
A useful conceptual relationship is:
Neural mechanism → information processing → cognitive operation → behavior
The relationship is bidirectional. Cognitive demands influence neural activity, while biological constraints
determine which cognitive operations are possible.
Core assumptions
Cognition has biological implementation: mental processes depend on physical neural systems.
Neural systems are organized: different structures and networks have specialized but interacting
functions.
Cognition is dynamic: neural representations change with context, experience, learning, and task
demands.
Multiple levels are complementary: molecular, cellular, systems, computational, and behavioral
explanations can describe the same phenomenon at different levels.
Cognitive neuroscience therefore differs from a simple search for “the brain area responsible for” a behavior. A
more informative question is:
Which network represents the relevant information, how is that information transformed, and how does the
transformation produce behavior?
3. The Brain–Mind Relationship
The brain–mind relationship concerns how subjective and cognitive phenomena relate to biological processes.
Contemporary cognitive neuroscience generally treats mental processes as dependent on brain function while
recognizing that the relationship is complex and distributed.
A useful distinction is:
Mind ≠ single brain region
Instead:
Mind = emergent cognitive activity of interacting neural systems
The term emergent indicates that complex properties can arise from interactions among simpler components.
Memory, for example, is not stored as a single object in one location. Different aspects of memory involve
interacting neural systems supporting encoding, consolidation, retrieval, emotional significance, and behavioral
expression.
Localization versus distributed processing
Localization perspective Distributed-network perspective
Function associated with a region Function depends on interacting regions
Useful for identifying specialization Useful for explaining complex cognition
Can provide causal evidence after lesions Explains integration across systems
Chapter 1 – A Brief History and Open Future of Cognitive Neuroscience.................................3
Chapter 2 – Structure and Function of the Nervous System......................................................9
Chapter 3 – Methods of Cognitive Neuroscience....................................................................15
Chapter 4 – Hemispheric Specialization...................................................................................22
Chapter 5 – Sensation and Perception.....................................................................................26
Chapter 6 – Object Recognition...............................................................................................31
Chapter 7 – Attention...............................................................................................................36
Chapter 8 – Action....................................................................................................................41
Chapter 9 – Memory................................................................................................................45
Chapter 10 – Emotion...............................................................................................................50
,Chapter 1 – A Brief History and Open Future of Cognitive Neuroscience
1. Historical Development
Cognitive neuroscience emerged from the convergence of cognitive psychology, neuroscience,
neuropsychology, computational science, and experimental biology. Its central question is how biological
processes in the nervous system generate perception, memory, language, decision-making, emotion, action,
and conscious experience.
Early explanations of mental function often relied on philosophical reasoning rather than direct measurement
of the brain. The development of experimental neuroscience gradually shifted the field toward measurable
relationships between neural activity and behavior. Lesion studies were particularly influential because
selective brain damage could reveal which functions depended on particular neural systems.
A fundamental principle developed from this work:
Brain damage can provide causal evidence about cognitive function.
However, localization should not be interpreted too simply. Complex cognitive functions generally depend on
distributed networks rather than a single isolated region.
Major historical transitions
Localization → network organization: functions were initially associated with specific brain regions;
modern approaches emphasize interacting neural networks.
Behavioral description → neural mechanism: researchers increasingly ask not only what a person
does but how neural processing produces that behavior.
Static localization → dynamic computation: cognition is understood as changing activity across time,
regions, and representational systems.
Single method → multimodal integration: imaging, electrophysiology, computational modeling,
neuropsychology, and behavioral experiments are increasingly combined.
The development of brain-imaging techniques was particularly important because researchers could
investigate human brain activity without requiring neurological injury. Functional magnetic resonance imaging
(fMRI), positron emission tomography (PET), electroencephalography (EEG), magnetoencephalography (MEG),
and other techniques provided complementary information about neural structure and function.
2. Foundations of Cognitive Neuroscience
Cognitive neuroscience investigates cognition at multiple levels of analysis. No single level is sufficient for
explaining complex behavior.
Level Central question Example
Behavioral What does the organism do? Reaction-time differences
Cognitive What mental process is involved? Selective attention
Computational What information-processing problem is solved? Evidence accumulation
Neural Which neural systems implement the process? Frontoparietal networks
Cellular How do neurons implement processing? Synaptic transmission
, Level Central question Example
Molecular Which biological mechanisms support activity? Neurotransmitter signaling
A useful conceptual relationship is:
Neural mechanism → information processing → cognitive operation → behavior
The relationship is bidirectional. Cognitive demands influence neural activity, while biological constraints
determine which cognitive operations are possible.
Core assumptions
Cognition has biological implementation: mental processes depend on physical neural systems.
Neural systems are organized: different structures and networks have specialized but interacting
functions.
Cognition is dynamic: neural representations change with context, experience, learning, and task
demands.
Multiple levels are complementary: molecular, cellular, systems, computational, and behavioral
explanations can describe the same phenomenon at different levels.
Cognitive neuroscience therefore differs from a simple search for “the brain area responsible for” a behavior. A
more informative question is:
Which network represents the relevant information, how is that information transformed, and how does the
transformation produce behavior?
3. The Brain–Mind Relationship
The brain–mind relationship concerns how subjective and cognitive phenomena relate to biological processes.
Contemporary cognitive neuroscience generally treats mental processes as dependent on brain function while
recognizing that the relationship is complex and distributed.
A useful distinction is:
Mind ≠ single brain region
Instead:
Mind = emergent cognitive activity of interacting neural systems
The term emergent indicates that complex properties can arise from interactions among simpler components.
Memory, for example, is not stored as a single object in one location. Different aspects of memory involve
interacting neural systems supporting encoding, consolidation, retrieval, emotional significance, and behavioral
expression.
Localization versus distributed processing
Localization perspective Distributed-network perspective
Function associated with a region Function depends on interacting regions
Useful for identifying specialization Useful for explaining complex cognition
Can provide causal evidence after lesions Explains integration across systems
