The situation is reversed when one tries to learn another language. More Info -Second Language Acquisition-01įirst language acquisition is natural and seemingly effortless. PosTag(s): COGS-COGPSY, NEUR-CG, BEHB-SOCSCI, COGS-NEURO.The course is organized topically, covering biological and prenatal development, perceptual and cognitive development, the nature and development of intelligence, and language learning. The principle focus will be early development, i.e., from conception through middle childhood. The course is strongly theoretically oriented, with emphasis on issues of nature, and development psychology as well as relevant empirical evidence. This is a survey course in developmental psychology designed for individuals with some basic background in psychology or cognitive science, but little or none in development. PosTag(s): COGS-COMPCG, COGS-NEURO, NEUR-CG, NEUR-CPĬOGS-COGPSY, NEUR-CG, BEHB-SOCSCI, COGS-NEURO.Students will read latest primary research articles and gain hands-on neural modelling experience. In this course, we will discuss how to utilize the latest technologies, including voxel-wise encoding models, convolutional neural networks (CNNs), generative adversarial networks (GANs) and transformers, to model neural representations with a focus on vision. With the current neural network modelling and artificial intelligence (AI) techniques, scientists are able to decode neural representation to understand one’s internal mental state. Recent advancements in neuroscience, computational cognitive science and machine learning have led to new possibilities for understanding the mind and brain. More Info -Reading the Mind: Computational Cognitive Neuroscience of Vision-01 Reading the Mind: Computational Cognitive Neuroscience of VisionĬOGS-COMPCG, COGS-NEURO, NEUR-CG, NEUR-CP PosTag(s): NEUR-CG, NEUR-CP, COGS-COMPCG, COGS-PHLMND.Recommended Course Background: at least one course at the 300-level or higher in cognitive science, computer science, neuroscience, philosophy, or psychology. Recent brain-based computational models serve to focus discussion. This course explores general issues and methodologies in cognitive science through the reading of classic works (from Plato and Kant through Skinner and Turing) and recent research articles to begin construction of a coherent picture of many seemingly divergent perspectives on the mind/brain. It’s strongly recommended that students have background in one of the following courses: AS.050.105 OR AS.200.141. Methods surveyed include electrophysiological recording techniques such as EEG, ERP, single/multiple unit recording and MEG functional imaging techniques such as PET and fMRI and methods that involve lesioning or disrupting neural activity such as cortical stimulation, animal lesion studies, and the study of brain-damaged individuals. Emphasis will be placed on developing an understanding of both the physiological bases of the techniques and the issues involved in relating measures of brain activity to cognitive functioning. ![]() Currently a wide range of methods of probing the functioning brain are yielding insights into the nature of the relation between mental and neural events. This course surveys theory and research concerning how mental processes are carried out by the human brain. ![]() It is highly recommended that students with less extensive computational and mathematical experience register for this lab. While this class does not have formal prerequisites, some programming experience (e.g., AS 250.205 Introduction to Computing or equivalent) and mathematical preparation (e.g., AS.110.107 Calculus II or equivalent) are essential.Īn optional, hands-on lab (AS.050.212) is offered to supplement this course. The computational frameworks we will discuss include symbolic structured representations, probabilistic inference and artificial neural networks, as applied to concept learning, language and vision. The second is to understand how to produce intelligent behavior in machines, taking cues from humans. The first is to create computational models of human cognition, computer programs that simulate certain aspects of the mind. Within this framework, computational cognitive science has two related goals. How does the mind work? Cognitive science addresses this question from a multidiscliplinary perspective, drawing upon methods and ideas from psychology, neurophysiology, neuroscience, philosophy, linguistics, and computer science. Introduction to Computational Cognitive Science
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