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Cognition

Cognition

Exploring the Science of the Mind
by Daniel Reisberg 2005
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266 ratings
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Key Takeaways

1. Cognitive Psychology Studies the Mind via the Brain

Our path forward, therefore, is to study mental processes indirectly, relying on the fact that these processes, themselves invisible, have visible consequences...

Inferring the invisible. Cognitive psychology scientifically studies the mind, focusing on knowledge acquisition, retention, and use. Unlike early introspectionists who relied on subjective reports, modern cognitive psychologists study the mind indirectly. They observe measurable behaviors like response time, accuracy, and errors to infer the underlying mental processes, much like a detective infers a crime from clues.

Brain specialization. The brain is the biological basis of cognition, with different regions specialized for different functions. The hindbrain controls basic life support, the midbrain coordinates movement and relays sensory info, and the forebrain (especially the cerebral cortex) handles higher-level cognition. Subcortical structures like the hippocampus (memory) and amygdala (emotion) are also crucial.

Linking mind and brain. Cognitive neuroscience uses methods like fMRI, EEG, and studies of brain damage (neuropsychology) to link mental processes to specific brain activity or structures. For example, Capgras syndrome, where familiar faces feel unfamiliar, is linked to damage in areas connecting face recognition (temporal lobe) and emotional evaluation (amygdala), illustrating how complex functions require coordinated brain activity.

2. Perception is Active and Interpretive

Your perception goes beyond the information given in the drawing, by specifying an arrangement in depth.

Beyond sensory input. Perception begins with sensory data (light hitting the retina, activating rods and cones), but it's not just passive reception. Early processing in the eye (lateral inhibition) enhances edges. The brain then actively organizes and interprets this input, going "beyond the information given."

Organizing the world. Gestalt principles (proximity, similarity) guide how we group elements into objects. We impose figure/ground organization and interpret ambiguous stimuli (Necker cube, vase/profiles). This interpretation happens early, influencing even feature detection.

Achieving constancy. We perceive objects as having constant properties (size, shape, brightness) despite changing sensory input. This relies on unconscious inference, where the brain accounts for viewing conditions (distance, angle, illumination). These same mechanisms can lead to visual illusions when cues are misleading.

3. Object Recognition is Hierarchical and Context-Dependent

It seems, then, that our science of salt passing won’t get very far if we insist on talking only about the physical stimulus.

Features and context. Object recognition starts with detecting simple features (lines, curves), but context and prior knowledge heavily influence the process (top-down processing). We recognize words faster in context (word superiority effect) and are biased by spelling patterns.

Network models. Feature nets propose layers of detectors (features, letters, words) that fire based on input and prior activation (frequency, recency). This explains priming effects and why we misread irregular inputs as regular. More complex models include inhibition and feedback.

Objects and faces. Recognition-by-components (RBC) uses geons (basic 3D shapes) for object recognition. Brain areas like the IT cortex respond to complex objects. However, face recognition seems special, relying on holistic processing (configurations) rather than parts, supported by areas like the FFA, and is vulnerable to inversion.

4. Attention Selects and Limits Processing

It implies withdrawal from some things in order to deal effectively with others...

Focusing the mind. Selective attention is the ability to focus on one input while ignoring others. Dichotic listening and shadowing show we process little semantic content from unattended channels, though some salient info (like your name) can break through.

Limits of awareness. Attention is crucial for conscious perception. Without attending, we can experience inattentional blindness (missing obvious stimuli) and change blindness (missing large changes). This suggests perception requires effort and resources.

Priming and control. Attention works by priming relevant detectors (expectation-based priming), making them more responsive. This draws on a limited capacity. Spatial attention acts like a spotlight. Executive control directs attention, but unconscious processes (habits, reflexes) can operate automatically, sometimes leading to action slips.

5. Memory is a Network of Connections

Learning also needs to establish some appropriate indexing; it must pave a path to the new information, so that this information can be retrieved at some future point.

Multiple memory systems. Memory involves working memory (active, limited capacity, fragile) and long-term memory (vast, durable storage). The modal model proposed information flows from sensory to short-term (working) to long-term memory, but working memory is now seen as active processing, not just a passive store.

Acquisition and retrieval. Getting information into LTM requires effortful, deep processing (attention to meaning, relational rehearsal), not just repetition. Learning establishes connections that serve as retrieval paths. Retrieval is context-dependent; matching learning and retrieval conditions (physical or mental) improves recall.

Implicit and explicit. Memory can be explicit (conscious recall/recognition) or implicit (unconscious influence on behavior, like priming). Amnesia (retrograde/anterograde) often disrupts explicit but spares implicit memory, showing these are distinct. Memory is reconstructive, influenced by schemas and misinformation, leading to errors (DRM, false fame, source confusion), but generally reliable.

6. Concepts Organize Knowledge

Concepts (like “dog”) allow you to apply your general knowledge to new cases you encounter (like Milo).

Beyond definitions. Concepts are the building blocks of knowledge, enabling us to categorize and make inferences. Definitions often fail for common concepts (e.g., "dog") due to exceptions. Instead, concepts are often represented by prototypes (ideal examples) or exemplars (specific instances).

Typicality and resemblance. Categorization often relies on resemblance to prototypes or exemplars, leading to graded membership (some members are "better" than others). Typicality influences judgment speed and frequency of mention.

Beliefs and structure. Categorization also depends on background beliefs about a category's essential properties and causal relationships, overriding resemblance in some cases (e.g., a mutilated lemon is still a lemon). These beliefs are organized in a network, guiding inference and reasoning about new cases. Different types of concepts (natural kinds, artifacts) are processed differently and linked to distinct brain areas.

7. Language is a Rule-Governed, Generative System

Once again, therefore, note the generativity of language—that is, the capacity to create an endless series of new combinations, all built from a small set of fundamental units.

Hierarchical structure. Language is organized hierarchically: phonemes (sounds) combine into morphemes (meaning units), which form words, phrases, and sentences. Rules govern combinations at each level.

Production and perception. Speech production involves coordinating airflow (voicing, manner/place of articulation). Perception is complex (segmentation, coarticulation) but aided by context (phonemic restoration) and categorical perception (hearing sounds as distinct categories).

Syntax and pragmatics. Syntax rules govern sentence structure (phrase structure, descriptive rules), guiding parsing (figuring out word roles). Parsing is fast but can lead to garden-path errors. Prosody (intonation) and extralinguistic context aid understanding. Pragmatic rules and common ground guide conversation, allowing unspoken inferences. Language is biologically rooted (aphasia, SLI) and influences thought via attention.

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FAQ

1. What is Cognition: Exploring the Science of the Mind by Daniel Reisberg about?

  • Comprehensive overview of cognition: The book provides an in-depth exploration of cognitive psychology, covering perception, memory, attention, language, problem solving, and decision making.
  • Integration of research and theory: Reisberg synthesizes findings from cognitive neuroscience, experimental psychology, and clinical studies to present a unified understanding of the mind.
  • Practical applications: The text discusses how cognitive science informs real-world issues in education, law, health, and technology, illustrating the relevance of cognitive psychology to everyday life.

2. Why should I read Cognition: Exploring the Science of the Mind by Daniel Reisberg?

  • Authoritative and up-to-date resource: Daniel Reisberg is a leading expert, and the book reflects decades of research alongside recent advances, making it a reliable source for students and professionals.
  • Bridges theory and practice: The book not only explains cognitive theories but also demonstrates their application to real-world problems, such as memory errors in eyewitness testimony and the impact of emotions on decision making.
  • Accessible yet detailed: Written for readers with varying backgrounds, the book uses clear explanations, examples, and summaries to make complex topics understandable.

3. What are the key takeaways from Cognition: Exploring the Science of the Mind by Daniel Reisberg?

  • Scientific approach to the mind: The book emphasizes empirical research and the scientific method, using behavioral experiments, neuroimaging, and clinical cases to study cognition.
  • Interconnected cognitive processes: It highlights how perception, attention, memory, language, and problem solving are deeply interconnected and supported by specialized brain systems.
  • Practical relevance: Insights from cognitive psychology are shown to improve learning, decision making, legal processes, and technology design.

4. What are the most notable quotes from Cognition: Exploring the Science of the Mind by Daniel Reisberg and what do they mean?

  • On memory’s reconstructive nature: “Memory is not a video recording but a constructive process influenced by schemas, emotions, and social context.” This means memories are actively rebuilt, not passively stored, which can lead to errors.
  • On the limits of attention: “We see only what we attend to; the rest remains invisible, as shown by inattentional blindness.” This highlights the selective nature of perception and the crucial role of attention.
  • On conscious and unconscious thought: “Much of our thinking occurs beneath awareness, guiding decisions and problem solving without our explicit knowledge.” This underscores the influence of the cognitive unconscious on behavior.

5. How does Daniel Reisberg define and explain perception and attention in Cognition: Exploring the Science of the Mind?

  • Selective attention mechanisms: Attention is described as a limited-capacity system that filters sensory input, prioritizing relevant information and suppressing distractions.
  • Interaction with perception: Attention enhances the processing of attended stimuli, as seen in phenomena like inattentional blindness and change blindness.
  • Neural underpinnings: The book discusses the roles of the parietal lobes, frontal cortex, and specialized areas like the fusiform face area in attention and perception.

6. What are the main types of memory and common memory errors discussed in Cognition: Exploring the Science of the Mind by Daniel Reisberg?

  • Memory systems overview: The book distinguishes between sensory, working, and long-term memory, as well as episodic, semantic, and implicit memory, each with distinct neural bases.
  • Memory errors: Common errors include false memories, the misinformation effect, source confusion, and the reconstructive nature of recall.
  • Improving memory: Strategies such as elaborative rehearsal, retrieval practice, and context reinstatement are recommended to enhance memory accuracy.

7. How does Cognition: Exploring the Science of the Mind by Daniel Reisberg explain language acquisition, structure, and its relationship to thought?

  • Biological and cognitive foundations: The book reviews the neural basis of language, including Broca’s and Wernicke’s areas, and discusses genetic and developmental influences.
  • Language structure: Reisberg explains phonology, syntax, semantics, and pragmatics, detailing how sentences are parsed and meaning is constructed.
  • Language and thought: The text explores the Whorfian hypothesis and linguistic relativity, showing how language can shape perception and cognition, with examples from color perception and bilingualism.

8. What are the key models and mechanisms of object and word recognition in Cognition: Exploring the Science of the Mind by Daniel Reisberg?

  • Feature net models: The book describes layered networks of detectors for features, letters, bigrams, and words, explaining phenomena like the word-superiority effect and recognition errors.
  • Top-down influences: Recognition is shaped by context, knowledge, and expectations, allowing for efficient but sometimes error-prone perception.
  • Specialized face recognition: Evidence from prosopagnosia and the inversion effect supports the idea that face recognition relies on holistic, configural processing distinct from other object recognition.

9. How does Daniel Reisberg describe problem solving and creativity in Cognition: Exploring the Science of the Mind?

  • Stages of creative cognition: The book outlines preparation, incubation, illumination, and verification as stages in creative problem solving.
  • Heuristics and strategies: Problem solving is compared to navigating a problem space, using heuristics like hill-climbing and means-end analysis, and leveraging analogies.
  • Expertise and creativity: Experts use deep structural knowledge and analogies more effectively, while creativity involves both domain-specific knowledge and divergent thinking.

10. What does Cognition: Exploring the Science of the Mind by Daniel Reisberg say about judgment, decision making, and reasoning?

  • Heuristics and biases: People often rely on heuristics like availability and representativeness, which can lead to systematic errors such as base-rate neglect and the gambler’s fallacy.
  • Dual-process models: The book distinguishes between fast, intuitive (Type 1) and slow, analytical (Type 2) thinking, with education and context influencing which is used.
  • Framing and emotion: Decisions are influenced by how options are framed (gains vs. losses) and by emotional responses, with affective forecasting often being inaccurate.

11. How does Daniel Reisberg address intelligence, its measurement, and the nature-nurture debate in Cognition: Exploring the Science of the Mind?

  • General intelligence (g): The book discusses Spearman’s g and hierarchical models, showing that a general cognitive capacity underlies performance across diverse tasks.
  • Types of intelligence: Reisberg covers fluid and crystallized intelligence, practical and emotional intelligence, and Gardner’s theory of multiple intelligences.
  • Genetics and environment: Twin and adoption studies reveal strong genetic influences, but environmental factors like education and socioeconomic status also play significant roles.

12. What is the cognitive unconscious and how does Cognition: Exploring the Science of the Mind by Daniel Reisberg explain consciousness?

  • Cognitive unconscious: Many mental processes, including perception, memory retrieval, and reasoning, occur without conscious awareness, influencing behavior and decision making.
  • Neuronal workspace hypothesis: Specialized neurons integrate information across brain areas, supporting conscious experience, attention, and executive control.
  • Phenomenal consciousness: The book distinguishes between access consciousness (information availability) and phenomenal consciousness (subjective experience), noting that much remains to be understood about the latter.

Review Summary

3.78 out of 5
Average of 266 ratings from Goodreads and Amazon.

Cognition by Daniel Reisberg receives generally positive reviews, with an average rating of 3.78 out of 5. Readers appreciate its comprehensive overview of cognitive psychology, engaging writing style, and effective organization. Many find it informative and insightful, praising its accessibility and use of visual aids. Some criticize it for being repetitive or lacking depth in certain areas. The book is frequently used as a textbook in university courses, with students finding it helpful for understanding complex concepts in cognitive science. Several reviewers note its lasting value as a reference.

Your rating:
4.3
48 ratings

About the Author

Daniel Reisberg is a respected cognitive psychologist and author of the widely-used textbook "Cognition." He is known for his engaging teaching style and ability to make complex topics accessible to students. Reisberg's work focuses on various aspects of cognitive psychology, including memory, perception, and reasoning. As a professor, he is described as engaging and thought-provoking, encouraging students to critically examine cognitive processes. His textbook is praised for its narrative approach, weaving together research and theory in a comprehensible manner. Reisberg's expertise in the field is evident in his writing, which provides a solid foundation for understanding cognitive psychology.

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