Introduction to connectomics (Spring 2016)

Th 1:30-4:30pm

Location: A59 Neuroscience Institute

Survey of contemporary techniques in computational neuroanatomy. Brain imaging via light and electron microscopy; computer vision, graphics, machine learning, and crowdsourcing for neural circuit reconstruction; graph layout, spectral methods, and latent variable models for connectome analysis; applications to C. elegans, fly, retina, and cortex.

Prerequisites

  • basics of linear algebra, multivariate calculus, algorithms and data structures
  • command of a programming language
  • knowledge of computer vision, machine learning, and neuroscience will be helpful
  • undergraduates by permission of the instructor

Class requirements

  • reading research papers
  • class participation
  • final project

Lecture Schedule