Course Identification
Theoretical models of memory
Lecturers and Teaching Assistants
Prof. Michail Tsodyks, Dr. Mikhail Katkov
Course Schedule and Location
Sunday, 14:15 - 17:00, FGS, Rm A
11/11/2018
Field of Study, Course Type and Credit Points
Life Sciences: Lecture; Elective; 3.00 points
Physical Sciences: Lecture; Elective; 2.00 points
Life Sciences (Molecular and Cellular Neuroscience Track): Lecture; Elective; 3.00 points
Life Sciences (Brain Sciences: Systems, Computational and Cognitive Neuroscience Track): Lecture; Elective; 3.00 points
Life Sciences (Computational and Systems Biology Track): Lecture; Elective; 3.00 points
Prerequisites
Students are expected to have a working knowledge of differential equations and probability theory.
Attendance and participation
Estimated Weekly Independent Workload (in hours)
Syllabus
Memory is classically divided into many different types and is subject to intensive studies by different disciplines. In the course, I will try to present a unifying framework for different types of memory using the theoretical approach. I will describe models of long-term memory, short-term (working) memory, episodic memory and (if time allows) spatial memory, and will elucidate the common traits and differences. In particular, I will discuss the notion of 'capacity' of different types of memory. Another interesting topic that I will address is how artificial memory systems (computer disk for example) are different from biological memory.
Learning Outcomes
Upon successful completion of this course students should be able to:
- Demonstrate familiarity with current theoretical research of memory.
- Formulate and analyze models for concrete memory phenomena.
Reading List
- Foundations of Human Memory. Michael Jacob Kahana
- Dudai, Y (2002) Memory from A to Z, keywords, concepts and beyond. Oxford: Oxford University Press
- Theoretical Neuroscience. Computational and Mathematical Modeling of Neural Systems. Peter Dayan and LF Abbott