Traces the field from psychophysics and early memory research through behaviorism, the cognitive revolution, connectionism, cognitive neuroscience, and situated approaches. Landmark experiments show why theories and research methods changed.

Covers hypotheses, operational definitions, independent and dependent variables, control conditions, randomization, and factorial designs. Learners design a simple experiment while identifying confounds and limits on causal claims.

Develops skill with accuracy, reaction time, rating scales, distributions, effect sizes, confidence intervals, and statistical models. Practice focuses on interpreting behavioral data rather than relying only on statistical significance.

Addresses informed consent, deception, debriefing, privacy, vulnerable participants, accessibility, and fair sampling. Learners review a study plan for ethical risks and for assumptions that could exclude people or distort conclusions.

Introduces experiment-building software, spreadsheets, R or Python, version control, data dictionaries, and reproducible reports. Learners organize a small project from stimulus files and participant records through analysis-ready data.

Covers preregistration, registered reports, replication, power, transparent exclusions, open materials, and data sharing. Learners diagnose questionable research practices and prepare a reproducible study package.

Connects neurons, synapses, brain networks, sensory pathways, and plasticity to cognitive function. The focus stays on what brain evidence can and cannot establish about mental processes.

Covers EEG and ERP, MEG, fMRI, PET, eye tracking, brain stimulation, and physiological recording. Learners match methods to questions by comparing spatial resolution, temporal resolution, cost, and inference limits.

Uses brain injury, neurological disorders, single and double dissociations, and case studies to test cognitive theories. Learners reason carefully from impaired performance without treating one brain region as a complete explanation.

Presents symbolic models, process models, connectionist networks, drift-diffusion models, and model comparison. Learners implement or inspect a small model and compare its predictions with human data.

Covers sensory thresholds, just-noticeable differences, scaling laws, detection sensitivity, response bias, and receiver operating characteristic curves. Practical exercises separate perceptual ability from a participant’s willingness to respond.

Explains how the visual system represents color, form, depth, motion, and perceptual organization. Learners use illusions and controlled stimuli to test the gap between physical input and visual experience.

Covers pitch, loudness, speech cues, sound localization, cross-modal integration, and sensory conflicts. Learners analyze how the brain combines uncertain signals from hearing, vision, and touch.

Examines feature integration, object constancy, face processing, scene perception, mental maps, and navigation. Cases involving agnosia and prosopagnosia reveal specialized and shared processing mechanisms.

Connects perception to movement through action planning, feedback, motor prediction, affordances, and sensorimotor adaptation. Learners analyze reaching, tool use, and errors caused by altered visual feedback.

Covers selective, divided, sustained, and spatial attention along with visual search, attentional capture, and inattentional blindness. Learners design tasks that measure processing limits and attentional control.

Examines awareness, unconscious processing, masking, binocular rivalry, change blindness, and major theories of consciousness. Behavioral and neural evidence is weighed without treating subjective reports as either infallible or irrelevant.

Covers short-term storage, the phonological loop, visuospatial sketchpad, central executive, episodic buffer, and competing state-based accounts. Learners measure memory span and explain how interference and cognitive load affect performance.

Explains levels of processing, organization, elaboration, spacing, testing effects, sleep, and systems consolidation. Learners build and evaluate an encoding plan for durable retention.

Distinguishes memory for events from knowledge of facts and concepts. Covers autobiographical memory, contextual binding, schemas, and the roles of hippocampal and cortical systems.

Covers recall, recognition, retrieval cues, context effects, interference, inhibition, and major accounts of forgetting. Learners compare retrieval data with predictions from strength, search, and competition models.

Examines skills, habits, priming, conditioning, and other forms of memory that do not depend on deliberate recollection. Practical cases show how performance can improve even when explicit memory is weak.

Covers reconstructive remembering, source monitoring, misinformation, false memories, and confidence–accuracy gaps. Learners evaluate interview procedures and eyewitness evidence using findings from memory research.

Examines prototypes, exemplars, rules, theory-based categories, typicality, and conceptual organization. Learners compare models by predicting how people classify unfamiliar examples.

Covers visual imagery, mental scanning, mental rotation, spatial transformations, cognitive maps, and debates over depictive and propositional representation. Learners collect and interpret mental-rotation data.

Introduces phonology, morphology, syntax, semantics, pragmatics, and the mental lexicon as cognitive systems. Evidence from errors, timing studies, and brain injury links language behavior to processing mechanisms.

Covers letter and word recognition, lexical access, phonological decoding, eye movements, reading development, and dyslexia. Learners use behavioral patterns to distinguish competing models of reading.

Examines parsing, ambiguity resolution, prediction, inference, reference, and the construction of coherent discourse. Learners analyze reading-time or eye-tracking results from sentences with competing interpretations.

Covers language selection, code-switching, cross-language activation, translation, and cognitive consequences of managing more than one language. Research design emphasizes proficiency, age of acquisition, and social context.

Covers deductive, inductive, analogical, probabilistic, and causal reasoning. Learners use classic tasks to identify how prior beliefs, representations, and cognitive limits shape conclusions.

Examines heuristics, biases, framing, risk, utility, prospect theory, and decisions under uncertainty. Learners analyze real choices while distinguishing descriptive accounts from prescriptions for better decisions.

Covers problem representation, search, algorithms, heuristics, insight, fixation, transfer, expertise, and creative idea generation. Learners solve and redesign tasks to reveal which representations help or hinder progress.

Examines inhibition, task switching, updating, goal maintenance, conflict monitoring, and the costs of multitasking. Learners interpret Stroop, flanker, and task-switching results as measures of control rather than pure mental traits.

Covers monitoring, confidence, judgments of learning, error awareness, self-regulated study, and calibration. Learners compare predicted performance with actual performance and improve decisions using feedback.

Connects emotion, reward, goals, curiosity, stress, and arousal to attention, memory, and choice. Learners analyze when emotion improves cognition and when it narrows or distorts processing.

Covers person perception, attribution, stereotypes, theory of mind, empathy, and social decision-making as information-processing problems. Tasks and cases show how context and group membership shape cognitive judgments.

Traces changes in attention, memory, language, reasoning, and executive control from infancy through adolescence. Learners evaluate methods suited to participants who cannot follow standard adult instructions.

Examines age-related change in processing speed, working memory, episodic memory, knowledge, attention, and control. The chapter separates healthy variation from disease and considers strategies that support everyday functioning.

Covers intelligence theories, cognitive ability measurement, test reliability, validity, heritability, environment, and cultural fairness. Learners interpret individual differences without turning group averages into claims about a person.

Examines how people represent quantity, estimate magnitude, perform arithmetic, and develop mathematical skill. Cases of dyscalculia and numerical illusions connect laboratory findings to education and daily decisions.

Presents cognition as shaped by the body, available actions, physical settings, tools, and collaboration. Learners analyze a real activity to locate which parts of the cognitive work occur in the person and which are carried by the environment.

Covers priors, likelihoods, uncertainty, probabilistic inference, predictive coding, and prediction error. Learners compare Bayesian model predictions with human perception and judgment while examining where the framework can become too flexible.

Shows how neural networks learn representations and how deep learning models can be compared with human perception, language, and memory. Learners inspect model errors to judge where performance resembles cognition and where it does not.

Covers multivoxel pattern analysis, representational similarity analysis, encoding models, decoding, and connectivity analysis. Learners interpret what modern brain-data models reveal while avoiding reverse inference and exaggerated mind-reading claims.

Examines browser-based experiments, participant platforms, smartphones, wearables, intensive repeated measurement, and large behavioral datasets. Learners adapt a laboratory task for remote use and plan checks for device, setting, and sampling variation.

Covers immersive virtual environments, interactive tasks, real-world observation, and the tradeoffs between experimental control and ecological validity. Learners design a study that measures cognition during realistic movement and decision-making.

Examines large language models as experimental tools, behavioral simulators, and possible models of language-related cognition. Learners compare model and human responses while addressing prompt sensitivity, training-data leakage, anthropomorphism, privacy, and reproducibility.

Applies memory, attention, cognitive load, feedback, retrieval practice, spacing, and transfer to teaching and study design. Learners build an evidence-based learning activity and specify how its effectiveness will be tested.

Applies perception, attention, memory, decision-making, and workload research to interfaces, workplaces, transportation, and safety-critical systems. Learners conduct a cognitive task analysis and recommend design changes grounded in evidence.

Covers standardized cognitive assessment, screening, performance validity, interpretation, rehabilitation, and compensatory strategies. Cases emphasize scope of practice, cultural and educational context, referral decisions, and the limits of test scores.

Follows a complete study from a cognitive question through literature review, theory, operationalization, ethics review, preregistration, piloting, data collection, analysis, interpretation, and public reporting. Learners produce a compact research portfolio with materials, data, code, and a clear account of limitations.

Maps research, user research, human factors, education, data analysis, clinical support, and cognitive neuroscience roles. Learners identify entry paths, graduate or licensing requirements where applicable, proof-of-skill projects, professional communities, journals, conferences, and routines for staying current.