This course is an investigation of affective priming and creation of rigorously counterbalanced, fully computerized testing paradigm. Includes background readings, study design, counterbalancing, study execution, data analysis, presentation of poster, and final paper.

Survey of principles underlying the structure and function of the nervous system, integrating molecular, cellular, and systems approaches. Topics: development of the nervous system and its connections, cell biology or neurons, neurotransmitters and synaptic transmission, sensory systems of the brain, the neuroendocrine system, the motor system, higher cortical functions, behavioral and cellular analyses of learning and memory. First half of an intensive two-term survey of brain and behavioral studies for first-year graduate students. Open to graduate students in other departments, with permission of instructor.

This class is the second half of an intensive survey of cognitive science for first-year graduate students. Topics include visual perception, language, memory, cognitive architecture, learning, reasoning, decision-making, and cognitive development. Topics covered are from behavioral, computational, and neural perspectives.

This course is designed to provide an understanding of how the human brain works in health and disease, and is intended for both the Brain and Cognitive Science major and the non-Brain and Cognitive Science major. Knowledge of how the human brain works is important for all citizens, and the lessons to be learned have enormous implications for public policy makers and educators. The course will cover the regional anatomy of the brain and provide an introduction to the cellular function of neurons, synapses and neurotransmitters. Commonly used drugs that alter brain function can be understood through a knowledge of neurotransmitters. Along similar lines, common diseases that illustrate normal brain function will be discussed. Experimental animal studies that reveal how the brain works will be reviewed. Throughout the seminar we will discuss clinical cases from Dr. Byrne's experience that illustrate brain function; in addition, articles from the scientific literature will be discussed at each class.

An introduction to human information processing and learning; topics include the nature of mental representation and processing; the architecture of memory; pattern recognition; attention; imagery and mental codes; concepts and prototypes; reasoning and problem solving.

Used for students receiving Advanced Placement credit and transfer credit. Program of study or research to be arranged with a Department faculty member. Written report required. Permission of Department required.

This textbook presents core concepts common to introductory courses. The 15 units cover the traditional areas of intro-to-psychology; ranging from biological aspects of psychology to psychological disorders to social psychology. This book can be modified: feel free to add or remove modules to better suit your specific needs.

This book includes a comprehensive instructor's manual, PowerPoint presentations, a test bank, reading anticipation guides, and adaptive student quizzes.

Surveys the literature on the cognitive and neural organization of human memory and learning. Includes consideration of working memory and executive control, episodic and semantic memory, and implicit forms of memory. Emphasizes integration of cognitive theory with recent insights from functional neuroimaging (e.g., fMRI and PET). Alternate years.

To be information literate, a person must be able to recognize when information is needed and have the ability to locate, evaluate, and use effectively the needed information. By the end of this unit you will be able to Define Information Literacy, Define the four domains that fall under Metaliterate Learners, Identify a lack of knowledge in a subject area, Identify a search topic/question and define it using simple terminology, Articulate current knowledge on a topic, Recognize a need for information and data to achieve a specific end and define limits to the information need, and Manage time effectively to complete a search.

How are we so good at recognizing faces and objects? How do we selectively attend to relevant pieces of information (and why do we sometimes fail to do so)? How do we remember what we learned in class (and why do we sometimes forget)? How do we comprehend sentences, make decisions, and solve problems?

These are all questions asked in the field of cognitive psychology, which focuses on the internal mental processes involved in representing concepts, remembering, reasoning, language processing, decision making, and problem solving. More specific questions include: Is it safe to talk on a hands-free cell phone while driving? Is eyewitness testimony reliable? How can you better remember information? What are the pitfalls that lead to bad decisions, and how can they be avoided?

This site is a set of always-in-development open educational resources (OER) related to the field of Cognitive Psychology. The content has mostly been adapted from various other sources (with support from the Maryland Open Source Textbook Initiative - thanks!) in order to serve as the textbook for Introduction to Memory and Cognition PSYC 341 at the University of Maryland, College Park.

As OER they are completely free for students (and anyone else) to use and/or revise/redistribute.

The goal of these materials (and the corresponding PSYC 341 course at UMD) is to promote a good understanding of current theories and debates that motivate research in cognitive psychology, understand which research methods are appropriate to address different questions in the field, and have an improved ability to understand and discuss this knowledge through class participation and assignments. We hope to do this in a way that allows you to see the relevance of cognitive psychological research and theories to your own lives.

If you are an instructor of a class related to cognitive psychology, these materials are free for you to use / adapt as you like – please see the GitHub README for some basic info on how to adapt these materials for your own purposes. If you are neither a student nor a teacher, well, I’m not sure why you’re here, but I hope you find this useful!

Organization of synaptic connectivity as the basis of neural computation and learning. Single and multilayer perceptrons. Dynamical theories of recurrent networks: amplifiers, attractors, and hybrid computation. Backpropagation and Hebbian learning. Models of perception, motor control, memory, and neural development. Alternate years.

" This course is an introduction to the mammalian nervous system, with emphasis on the structure and function of the human brain. Topics include the function of nerve cells, sensory systems, control of movement, learning and memory, and diseases of the brain."

When you teach Introduction to Psychology, do you find it difficult — much harder than teaching classes in statistics or research methods? Do you easily give a lecture on the sympathetic nervous system, a lecture on Piaget, and a lecture on social cognition, but struggle with linking these topics together for the student? Do you feel like you are presenting a laundry list of research findings rather than an integrated set of principles and knowledge? Have you wondered how to ensure your course is relevant to your students? Introduction to Psychology utilizes the dual theme of behavior and empiricism to make psychology relevant to intro students. The author wrote this book to help students organize their thinking about psychology at a conceptual level. Five or ten years from now, he does not expect his students to remember the details of most of what he teaches them. However, he does hope that they will remember that psychology matters because it helps us understand behavior and that our knowledge of psychology is based on empirical study.

This is a derivative of INTRODUCTION TO PSYCHOLOGY by a publisher who has requested that they and the original author not receive attribution, which was originally released and is used under CC BY-NC-SA. This work, unless otherwise expressly stated, is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

This course is an introduction to the fundamental principles of psychology. It begins with a short overview of the discipline's development and principal methodologies. The subsequent units are arranged around broad areas of research, including emotion, development, memory, and psychopathology. Upon successful completion of this course, students will be able to: Identify the steps of the scientific method and explain how this method applies to psychological research methodology and statistical analyses; Demonstrate an understanding of the general history of the field; Explain the nature versus nurture argument and the current status of thinking regarding gene-environment interaction; Identify the basic components and mechanisms of the major biological systems often studied in psychology; Demonstrate an understanding of the basic findings within a variety of areas of psychology, including sensation and perception, memory and learning, development, social psychology, and psychopathology. (Psychology 101)

The Introduction to Psychology course was developed through the Ohio Department of Higher Education OER Innovation Grant. This work was completed and the course was posted in September 2018. The course is part of the Ohio Transfer Module and is also named OSS015. For more information about credit transfer between Ohio colleges and universities please visit: www.ohiohighered.org/transfer.Team LeadVincent Granito                                    Lorain County Community CollegeContent ContributorsNicole Brandt                                       Columbus State Community CollegeLynne Gabriel                                      Lakeland Community CollegeJackie Sample                                     Central Ohio Technical CollegeLibrarianRachel Dilley                                       Columbus State Community CollegeReview TeamMelissa Beers                                      Ohio State UniversityBryan Gerber                                        Stark State College

How to Use this GuideThis guide provides information and resources on teaching learning concepts in an Introduction to Psychology course. All resources are Open Access and can be downloaded or added to a Course Management System (LMS) via the hyperlinks.According to the TAG, Lifespan Development falls within Pillar 3 (Development) and is a required topic for all Ohio Introduction to Psychology courses, along with Lifespan Development. These two chapters meet the APA recommendations for Strengthening General Psychology (Gurung, et al., 2016).IntroductionThis section introduces students to the basic principles that govern learning.  Specifically, students will be introduced to the concepts of classical and operant conditioning.

This course is a survey of the scientific study of human nature, including how the mind works, and how the brain supports the mind. Topics include the mental and neural bases of perception, emotion, learning, memory, cognition, child development, personality, psychopathology, and social interaction. Students will consider how such knowledge relates to debates about nature and nurture, free will, consciousness, human differences, self, and society.

The course focuses on the problem of supervised learning within the framework of Statistical Learning Theory. It starts with a review of classical statistical techniques, including Regularization Theory in RKHS for multivariate function approximation from sparse data. Next, VC theory is discussed in detail and used to justify classification and regression techniques such as Regularization Networks and Support Vector Machines. Selected topics such as boosting, feature selection and multiclass classification will complete the theory part of the course. During the course we will examine applications of several learning techniques in areas such as computer vision, computer graphics, database search and time-series analysis and prediction. We will briefly discuss implications of learning theories for how the brain may learn from experience, focusing on the neurobiology of object recognition. We plan to emphasize hands-on applications and exercises, paralleling the rapidly increasing practical uses of the techniques described in the subject.

This course highlights the interplay between cellular and molecular storage mechanisms and the cognitive neuroscience of memory, with an emphasis on human and animal models of hippocampal mechanisms and function. Class sessions include lectures and discussion of papers.