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11 - 20 of 53 results for: PSYC ; Currently searching offered courses. You can also include unoffered courses

PSYC 63Q: Artificial Intelligence in Mental Health

Over 900 million individuals worldwide suffer from a mental health disorder. Human and financial costs associated with the management of individuals with mental health disorder are substantial and constitute a growing public health challenge. Yet there are presently no objective markers used to determine which individuals have a mental health disorder and predict the progression of the disorder. Furthermore, there are presently a limited number of effective treatments for mental health disorders, as well as considerable heterogeneity in treatment response. The lack of access to mental health care is yet another challenge in developed as well as developing countries. Newly available technologies such as Artificial Intelligence offer an unprecedented opportunity for developing solutions that address the aforementioned challenges and problems. In this interdisciplinary seminar, students will learn about (i) psychopathology, (ii) state-of-the-art in diagnosis and treatments of mental healt more »
Over 900 million individuals worldwide suffer from a mental health disorder. Human and financial costs associated with the management of individuals with mental health disorder are substantial and constitute a growing public health challenge. Yet there are presently no objective markers used to determine which individuals have a mental health disorder and predict the progression of the disorder. Furthermore, there are presently a limited number of effective treatments for mental health disorders, as well as considerable heterogeneity in treatment response. The lack of access to mental health care is yet another challenge in developed as well as developing countries. Newly available technologies such as Artificial Intelligence offer an unprecedented opportunity for developing solutions that address the aforementioned challenges and problems. In this interdisciplinary seminar, students will learn about (i) psychopathology, (ii) state-of-the-art in diagnosis and treatments of mental health disorders, (iii) unaddressed challenges and problems related to mental health, (iv) artificial intelligence and its potential through real-world examples, (v) recent real-world applications of artificial intelligence that address the challenges and problems related to mental health, and (vi) ethical issues associated with the application of artificial intelligence to mental health. Diverse viewpoints and a deeper understanding of these topics will be offered by a mix of hands-on educational sessions and panel discussions with psychiatrists, computer scientists, lawyers, and entrepreneurs. Students will also spend guided time working in small teams to develop innovative (artificial intelligence based) solutions to challenges/problems related to mental health.
Terms: Spr | Units: 3
Instructors: Supekar, K. (PI)

PSYC 83: Addictions in our World: From Physiology to Human Behavior

Addiction is a powerful brain-based behavioral disorder that interferes with many lives. The National Survey on Drug Use and Health has estimated 21.5 million Americans aged 12 and older are classified as having a substance use disorder, an extraordinary 8.1% of the population. The field of mental health is advancing the understanding of this disorder through research, education, innovation and policy guidance. This class aims to help students better understand the struggles of addiction in our world by discussing many components involved in the disease including: physiology, psychology, treatment options, and the societal implications of addiction.nnStudents will engage in thought-provoking between psychology, neuroscience, and society. They will develop the knowledge-base and framework to critically evaluate the science behind addiction and how to apply this knowledge to address the addiction epidemic in our world. As technology advances, many new types of addiction are emerging, cre more »
Addiction is a powerful brain-based behavioral disorder that interferes with many lives. The National Survey on Drug Use and Health has estimated 21.5 million Americans aged 12 and older are classified as having a substance use disorder, an extraordinary 8.1% of the population. The field of mental health is advancing the understanding of this disorder through research, education, innovation and policy guidance. This class aims to help students better understand the struggles of addiction in our world by discussing many components involved in the disease including: physiology, psychology, treatment options, and the societal implications of addiction.nnStudents will engage in thought-provoking between psychology, neuroscience, and society. They will develop the knowledge-base and framework to critically evaluate the science behind addiction and how to apply this knowledge to address the addiction epidemic in our world. As technology advances, many new types of addiction are emerging, creating an additional urgent need to discuss the implications this burgeoning problem. This highly interactive seminar aims to engage the students in critical thinking didactics, activities and discussions that shape their understanding of the complexity inherent to the issues surrounding addiction, and increase the student¿s ability to more critically assimilate and interrogate information.
Terms: Aut | Units: 3 | UG Reqs: WAY-SI, WAY-SMA

PSYC 114: Frontier Technology: Understanding and Preparing for Technology in the Next Economy (CEE 114, CEE 214, MED 114, MED 214)

The next wave of technological innovation and globalization will affect our countries, our societies, and ourselves. This interdisciplinary course provides an introduction to emerging, frontier technologies. Topics covered include artificial intelligence, additive manufacturing and advanced robotics, smart cities and urban mobility, telecommunications with 5G/6G, and other key emerging technologies in society. These technologies have vast potential to address the largest global challenges of the 21st century, ushering in a new era of progress and change.
Terms: Spr | Units: 1

PSYC 116: Psychedelics and Social Justice (CSRE 126, LIFE 116, PSYC 216)

This course will provide an overview of current social justice issues in psychedelic research, including the impact of colonization and systemic inequality on resource allocation during the multinational resurgence of interest in psychedelic medicine in the 21st century. Through a combination of lectures, facilitated small-group discussions, and creative as well as experiential activities, the course is designed to promote self-inquiry and cultural humility while reflecting on current human practices with consciousness-modifying agents. Students must concurrently attend the PSYC 216L Lecture Series (Wednesdays, 5:30-6:20 PM) as part of this course. Enrollment is limited to 15 students to promote deeper discussion and community.
Terms: Spr | Units: 3 | UG Reqs: WAY-EDP | Repeatable 4 times (up to 12 units total)

PSYC 121: Machine Learning for Neuroimaging (BIODS 227, PSYC 221)

Machine learning has driven remarkable advances in many fields and, recently, it has been pivotal in enhancing the diagnosis and treatment of complex brain disorders. Biomedical and neuroscience studies frequently rely on neuroimaging as it provides non-invasive quantitative measurement of the structure and function of the nervous system. Machine and deep learning methods can, for example, refine findings for specific diseases or cohorts enabling the detection of imaging markers at an individual level. This, in turn, paves the way for personalized treatment plans. In this course, we explore the methodological gaps in analyzing high-dimensional, longitudinal, and heterogeneous neuroimaging data and study novel, robust, scalable, and interpretable machine learning models for this purpose.Students have the option to enroll in the class for either 3 or 4 units. All students, regardless of their unit choice, are expected to attend every class session. The primary class content will cover th more »
Machine learning has driven remarkable advances in many fields and, recently, it has been pivotal in enhancing the diagnosis and treatment of complex brain disorders. Biomedical and neuroscience studies frequently rely on neuroimaging as it provides non-invasive quantitative measurement of the structure and function of the nervous system. Machine and deep learning methods can, for example, refine findings for specific diseases or cohorts enabling the detection of imaging markers at an individual level. This, in turn, paves the way for personalized treatment plans. In this course, we explore the methodological gaps in analyzing high-dimensional, longitudinal, and heterogeneous neuroimaging data and study novel, robust, scalable, and interpretable machine learning models for this purpose.Students have the option to enroll in the class for either 3 or 4 units. All students, regardless of their unit choice, are expected to attend every class session. The primary class content will cover the fundamentals of machine learning, offer some limited hands-on training, and explore the application of ML to neuroimaging. Those opting for 4 units will benefit from an extra hour of instruction weekly, diving deeper into core ML concepts and receiving extended hands-on training. The scheduling of this additional hour will be determined based on the availability of the students enrolled for 4 units to ensure a mutually convenient time slot. Undergraduate students and those who do not have ML backgrounds are advised to take the course for 4 units.
Terms: Aut | Units: 3-4

PSYC 124: Brain Plasticity

Neuroplasticity refers to the brain's remarkable ability to modify its own structure and function. The brain does so in response to changes in the body or in the external environment, adjusting parameters from molecules to neurons. In this course, we will cover the overarching principles of brain plasticity: how the brain comes to mirror the details of the outside world, how it adjusts itself based on sensory deficits, how new sensory capacities can be added, how circuitry is modified by activities and goals, why it's harder to teach an old dog new tricks, how we remember, and disorders of plasticity.
Terms: Aut | Units: 3

PSYC 126: Literature and the Brain (COMPLIT 138, COMPLIT 238, ENGLISH 118, ENGLISH 218, FRENCH 118, FRENCH 218, PSYCH 118F)

How does fiction make us better at reading minds? Why do some TV shows get us to believe two contradictory things at once? And can cognitive biases be a writer's best friend? We'll think about these and other questions in the light of contemporary neuroscience and experimental psychology, with the help of Song of Solomon (Toni Morrison), Madame Bovary (Gustave Flaubert), season 1 of Westworld (Lisa Joy / Jonathan Nolan), and short readings from writers like Louise Glück, Jorge Luis Borges, Virginia Woolf, and Marcel Proust. We'll also ask what we see when we read; whether the language we speak affects the way we think; and why different people react differently to the same book. Plus: is free will a fiction, or were you just forced to say that?
Terms: Win | Units: 3 | UG Reqs: GER:DB-Hum, WAY-A-II

PSYC 135: Dement's Sleep and Dreams (PSYC 235)

Dr. William Dement created Sleep and Dreams in 1971, the world's first university course devoted to the science of sleep. Upon his retirement he selected Dr. Rafael Pelayo to be his successor, but he continued to participate in class until his passing in the summer of 2020. To honor his legacy in perpetuity, Dr.Pelayo renamed the course 'Dement's Sleep Dreams' as he had promised him he would. The goal is to retain the original spirit of the course as the content is continuously updated to reflect current state of sleep science. The course is designed to impart essential knowledge of the neuroscience of sleep and covers how sleep affects our daily lives. The course covers normal sleep and dreams, as well as common sleep disorders. Course content empowers students to make educated decisions concerning sleep and alertness for the rest of their lives and shapes students' attitudes about the importance of sleep. Students will keep track of their sleep patterns during the course. They will also participate in an outreach project to help improve awareness of the importance of sleep heath in our community. Undergraduates must enroll in PSYC 135, while graduate students should enroll in PSYC 235.
Terms: Win, Spr | Units: 3 | UG Reqs: WAY-SMA, GER: DB-NatSci

PSYC 144: Islamic Psychology (PSYC 244)

The first psychiatric hospitals in the world were established as early as the 8th century during the Islamic Golden Era. Despite the emergence of a highly sophisticated and interdisciplinary system of understanding the human psyche in early Islamic history, most students of modern psychology are unfamiliar with this rich history. This course will provide a historical and contemporary review of the Islamic intellectual heritage as it pertains to modern behavioral science and how mental illness was historically perceived and treated in the Muslim world. We will begin with a discussion of Islamic epistemology, reconcile issues such as secular vs sacred sources of knowledge and tackle the mind/body dilemma according to Islamic theology. We will then review holistic schemas of health and pathology in the Islamic religious tradition, the nature of the human being, elements of the human psyche, and principles of change leading to positive character reformation. As Stanford is the academic home of Muslim mental health research globally, we will benefit from talks by guest researchers and speakers, partake in field trips to community partners, and utilize group discussions to provide students with a deeper understanding of these topics.
Terms: Spr | Units: 4 | UG Reqs: WAY-EDP | Repeatable 2 times (up to 6 units total)
Instructors: Awaad, R. (PI)

PSYC 149: The Neurobiology of Sleep (BIO 149, BIO 249, HUMBIO 161, PSYC 261)

The neurochemistry and neurophysiology of changes in brain activity and conscious awareness are associated with changes in the sleep/wake state. Behavioral and neurobiological phenomena include sleep regulation, sleep homeostasis, circadian rhythms, sleep disorders, sleep function, and the molecular biology of sleep. Preference to seniors and graduate students.
Terms: Win | Units: 4 | UG Reqs: GER: DB-NatSci, WAY-SMA
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