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University of Cambridge
This course is an introduction to human cognition and how it is explored. You will explore how Psychology was born as a separate discipline and how we began to study the nervous system in terms of functions, abilities and traits linking brain, mind, behavior and relationship with the environment. W…
Philosophy and the Science of Human Nature pairs central texts from Western philosophical tradition (including works by Plato, Aristotle, Epictetus, Hobbes, Kant, Mill, Rawls, and Nozick) with recent findings in cognitive science and related fields. The course is structured around three intertwined…
MIT OpenCourseWare
Provides a comprehensive introduction to key issues and findings in object recognition in experimental, neural, computational, and applied domains. Emphasizes the problem of representation, exploring the issue of how 3-D objects should be encoded so as to efficiently recognize them from 2-D images.…
MIT OpenCourseWare
The introductory topics will cover various approaches to the study of animals and their behavior. Key concepts in studies of animal behavior, emphasizing ethology, are covered in class and in the assigned readings from Scott (2005), supplemented by selections from other books, especially from class…
MIT OpenCourseWare
This course is an introduction to computational theories of human cognition. Drawing on formal models from classic and contemporary artificial intelligence, students will explore fundamental issues in human knowledge representation, inductive learning and reasoning. What are the forms that our know…
MIT OpenCourseWare
This undergraduate course is designed to introduce students to cognitive processes. The broad range of topics covers each of the areas in the field of cognition, and presents the current thinking in this discipline. As an introduction to human information processing and learning, the topics include…
MIT OpenCourseWare
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.
MIT OpenCourseWare
This course takes a ‘back to the beginning’ view that aims to better understand the end result. What might be the developmental processes that lead to the organization of ‘booming, buzzing confusions’ into coherent visual objects? This course examines key experimental results and computational prop…
MIT OpenCourseWare
An advanced seminar on issues of current interest in human and machine vision. Topics vary from year to year. This year, the class will involve studying the perception of materials. Participants discuss current literature as well as their ongoing research. Topics are tackled from multiple standpoin…
MIT OpenCourseWare
Probability theory captures a number of essential characteristics of human cognition, including aspects of perception, reasoning, belief revision, and learning. Expressions of degree of belief were used in language long before people began codifying the laws of probability theory. This course explo…
MIT OpenCourseWare
This course is for upper-level graduate students who are planning careers in computational neuroscience. This course focuses on the problem of supervised learning from the perspective of modern statistical learning theory starting with the theory of multivariate function approximation from sparse d…
MIT OpenCourseWare
This course provides an overview of the distinctive features which distinguish sound categories of languages of the world. Theories which relate these categories to their acoustic and articulatory correlates, both universally and in particular languages, are covered. Models of word recognition by l…
MIT OpenCourseWare
Human Supervisory Control of Automated Systems discusses elements of the interactions between humans and machines. These elements include: assignment of roles and authority; tradeoffs between human control and human monitoring; and human intervention in automatic processes. Further topics comprise:…
MIT OpenCourseWare
This class investigates cognitive science and technology as it is applied to the industrial design process. The class introduces prototyping techniques and approaches for objective evaluation as part of the design process. Students practice evaluating products with mechanical and electronic aspects…
MIT OpenCourseWare
This course explores the organization of synaptic connectivity as the basis of neural computation and learning. Perceptrons and dynamical theories of recurrent networks including amplifiers, attractors, and hybrid computation are covered. Additional topics include backpropagation and Hebbian learni…
MIT OpenCourseWare
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 i…
MIT OpenCourseWare
This course is an investigation to distinguish episodic memory, which is memory of personal events, from semantic memory, which is general knowledge independent of time and place.
MIT OpenCourseWare
What are the circuits, mechanisms and representations that permit the recognition of a visual scene from just one glance? In this one-day seminar on Scene Understanding, speakers from a variety of disciplines - neurophysiology, cognitive neuroscience, visual cognition, computational neuroscience an…
MIT OpenCourseWare
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.
MIT OpenCourseWare
A whirl-wind tour of the statistics used in behavioral science research, covering topics including: data visualization, building your own null-hypothesis distribution through permutation, useful parametric distributions, the generalized linear model, and model-based analyses more generally. Familia…
