Bionet Academics

The Bionet Group offers and coordinates a number of courses and student projects in Computational Neurocience. For related courses see also the optional MS Concentration in Systems Biology and Neuroengineering and Concentration in Data-Driven Analysis and Computation, both offered by the Department of Electrical Engineering.

Graduate/Post-graduate Courses

Spring 2020:ECBM E6070 Computing with Brain Circuits of Model Organisms

Project Opportunities

A range of interdisciplinary projects are open to Columbia students majoring in Electrical/Computer Engineering, Computer Science, or Neurobiology/Neuroscience. Projects typically start at the beginning of the Fall, Spring, or Summer semester and are available on a rolling basis. Internships are also available. Students selected to work on independent projects are expected to register for a project course and receive academic credit. Interested students should send their résumés or CVs to Prof. Aurel A. Lazar.

Related student activity: Fruit Fly Brain Hackathon. More information on the research activities of the Bionet Group is available here.

MS Thesis in Electrical Engineering: Concentration in Systems Biology and Neuroengineering

Enrollment in ELEN E6003 Master's Thesis requires a minimum of 3 points of credit in ELEN E6001 or E6002 and the approval of a thesis advisor.

Additional course requirements for a Master's Thesis in the Bionet lab:

These courses are also listed in the optional Concentration in Systems Biology and Neuroengineering. For further details please contact Professor Aurel A. Lazar.

Past Graduate/Post-graduate Courses

Spring 2019:Computing with Brain Circuits
Spring 2018:Fruit Fly Brain as NeuroInformation Processor
Spring 2016:Neural Networks and Deep Learning
Spring 2015:Computing with Brain Circuits
Spring 2014:Big Data in Neuroscience
Spring 2013:Methods of Computational Neuroscience
Spring 2012:Massively Parallel Neural Computation
Spring 2012:Neuromorphic Engineering
Spring 2010:Neural Encoding and Computation in Sensory Systems
Spring 2009:Brain Circuits and Information
Spring 2008:Methods of Computational Neuroscience
Fall 2007:Global Brain Modeling (external)
Spring 2007:Representation and Processing of Olfactory Information
Spring 2006:Dendritic Computation
Spring 2006:Methods of Signal Processing in Computational Neuroscience
Spring 2005:Information Representation in Sensory Systems
Fall 2004:Stochastic Models in Information Systems
Spring 2003:Time Encoding, Channels and Information