COURSE DESCRIPTION:
Principles of Neuroscience II is a 13-week course required for students in the Department of Neuroscience. In this course, students will explore how complex neural systems integrate afferent information and direct efferent outflow, and the mechanisms underlying the development of these neural systems. The overall goal will be to explore higher order functions, such as the structure and function of neural systems underlying sensation and movement, learning and memory at the sensory and motor levels, as well as higher-level cognitive processes, followed by investigation of the developmental mechanisms driving the structure and function of neural networks. Student knowledge in these areas will be built on a firm understanding of the underlying physiology and anatomical structure. Principal areas of interest will be on hierarchical neural systems, the plasticity of neural networks, serial and parallel neural processing, cognition and computational modeling.

COURSE OBJECTIVES:

• To learn the role of neural networks in high-order perceptual, motor and behavioral states functions.
• To learn computational approaches explaining brain functions.
• To learn how to write a research grant

PREREQUISITES:
Principles of Neuroscience I (Block I)

REQUIRED MATERIALS:
Online access to Zoom lectures, books and journals available at Einstein’s library.

SUITABLE FOR 1ST YEAR STUDENTS:
Yes

STUDENT ASSESSMENTS:
The grade in this course will be based on participation in class (25%), proposed research project, midterm projects critiques (25%), and final proposed research project (50%).

CREDIT HOURS: 6.0