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The Decision Neuroscience Laboratory investigates the brain processes that underlie valuation and decision-making in people. We aim to understand the function of individual brain system in how they represent and learn information about available rewards. To do so, we conduct behavioral and neuroimaging (fMRI and EEG) experiments and relate findings to computational models of brain function. We also investigate how brain systems interact during decision involving self-control and competitive social interactions. Our ultimate goal is to describe such decisions in terms of the neural processes that give rise to behavior.
The Dynamics of Perception, Action, & Cognition (DPAC) lab is focused on promoting a dynamical approach to perception, action, and cognition. Our research uses the principles of dynamical systems, complex systems, and ecological psychology to understand the coordination among multiple systems and processes, including: vision, touch, motor skills, physiological processes, handedness, learning, and attention.
The Department of Psychology's EEG Lab serves as a leading-edge resource for improving the quality of neuroimaging research at Arizona State University. Our role is to facilitate researchers who are interested in collecting physiological data including EEG, eye-tracking, and neural stimulation. Equipment in the EEG lab records electrical activity from the brain while study participants perform a wide variety of tasks. EEG data can be used to make important inferences about lower-level processes – such as the structure and function of memory, attention, language – to higher-level processes such as empathy and decision making.
At the Embodied Games for Learning lab, we use the latest in sensor technologies, including augmented (AR) and virtual realities (VR), to affect cognitive and behavioral change.
We have created several award-winning games and simulations, and are always looking for motivated graduates to join the lab.
As a team, we both design and assess educational content in various environments including laboratories, formal settings (e.g., high schools), and informal institutions (e.g., museums).
How do words, objects, and events become meaningful to us? Glenberg and his students are attacking these problems by developing an embodied theory of cognition: All cognitive processes are based on bodily and neural processes of perception, action, and emotion. Recent work in the lab has demonstrated a) how language comprehension depends on action and emotion, b) how coordinated action links us to other people, c) contributions of mirror neurons to language and action understanding, d) how embodiment theory can be used to design educational interventions to enhance young children's reading comprehension.
In the Learning and Development Lab, we study how young children learn about the world around them. We specifically focus on questions like: How do young children learn the meanings of words? What properties of speech do babies process to learn language? How do children learn to pay attention to the right things in their busy environments? Does experience with multiple languages change how young children learn and develop?
Research in the Memory and Language Lab (MLL) is quite diverse, combining numerous techniques to help understand human cognition. Ongoing projects examine visual attention, face perception, the creation and retrieval of memories, and bilingual cognition. Across different topics, we use classic behavioral methods, eye-tracking, pupil measurements, and other approaches.
Our research projects investigate human memory and attention capabilities and how they support a wide range of behaviors.
Research in the Memory and Attention Control Laboratory entails attending lab meetings, scoring cognitive data, and helping participants complete experiments. These experiments are typically conducted in the laboratory on personal computing stations.
The Perception, Ecological Action and Learning Lab (PEARL) focuses on computational modeling of perception-action in dynamic, natural environments. Specialty areas span sports, robotics, music, navigation, and multisensory object perception. The most widely known work is on navigational strategies used by baseball players, animals, and robots.
The lab's four major research streams are:
The Prototype Abstraction Lab (PAL) is devoted to the exploration of fundamental issues in human categorization, ranging from the variables known to shape concepts to the investigation of higher-order issues in categorization theory.
In PAL, we also investigate topics outside of category abstraction – visual selective attention, abrupt onset capture & encapsulated mechanisms embedded within complex cognitive processing, haptic memory & cross-modality transfer, recognition memory & retrieval, and multidimensional scaling as a geometric model of human memory - but mostly we study category abstraction.
The Science of Learning and Educational Technology (SoLET) Lab, directed by cogntive psychologist Dr. Danielle S. McNamara, is a research laboratory housed in the Institute for Science and Teaching of Learning at ASU.
The SoLET lab focuses on applying research from computer science, education, and psychology in educational environments. The research aims to further the understanding of cognitive processes and to use this theoretical foundation to improve educational methods.