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.

Undergraduate/Graduate Courses

Fall 2018:Computational Neuroscience: Circuits in the Brain

Graduate/Post-graduate Courses

Spring 2019:Computing with Brain Circuits

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

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 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