How do we make decisions? Conventional decision theory tells us only which behavioral choices we ought to make if we follow certain axioms. In real life, however, our choices are governed by cognitive mechanisms shaped over evolutionary time through the process of natural selection. Evolution has created strong biases in how and when we process information, and it is these evolved cognitive building blocks—from signal detection and memory to individual and social learning—that provide the foundation for our choices.
Cognitive neuroscientists increasingly claim that brain images generated by new brain imaging technologies reflect, correlate, or represent cognitive processes. In this book, William Uttal warns against these claims, arguing that, despite its utility in anatomic and physiological applications, brain imaging research has not provided consistent evidence for correlation with cognition.
Scientists' attempts to understand the physiology underlying our apprehension of the physical world was long dominated by a focus on the individual senses. The 1980s saw the beginning of systematic efforts to examine interactions among different sensory modalities at the level of the single neuron. And by the end of the 1990s, a recognizable and multidisciplinary field of "multisensory processes" had emerged.
We form individual memories by a process known as consolidation: the conversion of immediate and fleeting bits of information into a stable and accessible representation of facts and events. These memories provide a version of the past that helps us navigate the present and is critical to individual identity. In this book, Thomas Anastasio, Kristen Ann Ehrenberger, Patrick Watson, and Wenyi Zhang propose that social groups form collective memories by analogous processes.
The explanatory power of economic theory is tested by the phenomenon of irrational consumption, examples of which include such addictive behaviors as disordered and pathological gambling. Midbrain Mutiny examines different economic models of disordered gambling, using the frameworks of neuroeconomics (which analyzes decision making in the brain) and picoeconomics (which analyzes patterns of consumption behavior), and drawing on empirical evidence about behavior and the brain.
Do animals have cognitive maps? Do they possess knowledge? Do they plan for the future? Do they understand that others have mental lives of their own? This volume provides a state-of-the-art assessment of animal cognition, with experts from psychology, neuroscience, philosophy, ecology, and evolutionary biology addressing these questions in an integrative fashion. It summarizes the latest research, identifies areas where consensus has been reached, and takes on current controversies.
This volume offers a range of perspectives on a simple problem: How does the brain choose efficiently and adaptively among options to ensure coherent, goal-directed behavior? The contributors, from fields as varied as anatomy, psychology, learning theory, neuroimaging, neurophysiology, behavioral economics, and computational modeling, present an overview of key approaches in the study of cognitive control and decision making.
Patients with Parkinson's disease (PD) suffer most visibly with such motor deficits as tremor and rigidity and less obviously with a range of nonmotor symptoms, including autonomic dysfunction, mood disorders, and cognitive impairment. The neuropsychiatric disturbances of PD can be as disabling as its motor disorders; but they have only recently begun to be studied intensively by clinicians and scientists.
Despite their apparently divergent accounts of higher cognition, cognitive theories based on neural computation and those employing symbolic computation can in fact strengthen one another. To substantiate this controversial claim, this landmark work develops in depth a cognitive architecture based in neural computation but supporting formally explicit higher-level symbolic descriptions, including new grammar formalisms.