SYSTEMS BIOLOGY AND NEUROENGINEERING

Christine P. Hendon, PhDAssistant ProfessorElectrical Engineering

Systems Bio & Neuroengineering

Development and application of analytical and theoreticaltechniques to the study of biological systems

Using engineering techniques to understand, repair, or replicatethe properties of neural systems

Applying systems tools & thinking to biological systems Highly interdisciplinary

Biology, Chemistry, Neuroscience, BME, CS, ME, MBBI Key EE areas

Biological-artificial systems interfaces NeuroRobotics Neuromorphic systems Synthetic Biology

Systems Biology and NeuroengineeringCenters at Columbia University The Center for Neural Engineering and Computation The Center for Computational Biology and Bioinformatics The Center for the Multiscale Analysis of Genomic and

Cellular Networks Institute for Data Science and EngineeringOptical Techniques for Actuation, Sensing and Imaging of

Biological Systems

http://www.ee.columbia.edu/systems-biology-and-neuroengineering

Systems biology and Neuroengineering Faculty:

Aurel Lazar - computing with neural circuits Dimitris Anastassiou - Computational biology and genomic Predrag Jelenkovic - Mathematical models of biological systems Nima Mesgarani - Reverse-engineering the auditory system Christine Hendon - Optical imaging and cardiac electrophysiology Ken Sheperd - Bioelectronics and neural interfaces Paul Sajda - Neural engineering, neuro-computation Qi Wang - Neural coding, bran machine interfaces

http://www.ee.columbia.edu/systems-biology-and-neuroengineering

ELEN E608* Topics in Sys.Biology

ELEN E6711 Stoch.Mod.in Info. Sys.

APMA E4400 Intro.to Bioph. Mod.

CHEN E4760 Genom. Seq. Lab

ELEN E6201 Linear System Theory

ELEN E6010 Sys.Bio.: Des. Prin. Bio.

BMEE E6030 Neural Mod.&Neuro

EEBM E6020 Meth.In Comp. Neuro.

BMEB W4020 Comp. Neur: Circ. In Brain

ECBM E4060 Genom.Info.Sci. & Tech.

ELEN E4810 Digital Signal Processing

MATH E1210 ODEs

APMA E3101 Lin. Algebra

BIOL W3004 Neurobio:

ELEN E3801 Sig. & Sys.

BIOL W4400 Biological Networks

ELEN E6717 Information Theory

ELEN E6718 Algeb. Coding Theory

OR EEBM E609* Topics in Comp. Neur.

IEOR E3658 Probability

COMS W4771 Machine Learning

CBMF W4761 Comput. Genomics

BIOL W4037 Bioinfo.of Gene Reg.

BIOL W4510 Molecular Sys. Biology

CHEN E4700 Princ. of Genom. Tech.

ELEN E9060 EEBM E9070 Seminars

ELEN E4815 Randon Sig. & Noise

No prerequisites shown for courses from outside EE

BMEE E4030 Neural Control Eng.

ECBM E4090 Brain Comp. Interface Lab

BMEE E4740 Bioinstrumentation

ELEN E1201 Intro EE COMS W1005 Matlab

EEME E6601 Intro.to Control Thy.

ECBM E6040 Neur Net & Deep Learn

ALTS

Systems Biology and

NeuroengineeringCourse Flow

Fall 2015 coursesProfessor Course

ECBM E4060 (Prof. Anastassiou) Genomic Information Science and Technology

BMEB W4020 (Prof. Lazar) Computational Neuroscience: Circuits in the Brain

BMEE E4030 (Prof. Wang) Neural Control Engineering

ECBM E4090 (Prof. Mesgarani) Brain Computer Interfaces Lab

Electives, Other departments: Computational Genomics, Biological Networks, Biomedical Engineering

BMEB W4020 Computational Neuroscience: Circuits in the Brain

Prof. Aurel Lazar

The Biophysics of Computation

Modeling Biological Neurons, The Hudgkin-Huxley Neuron, Modeling Channel Conductances and Synapses as Memristive Systems, Bursting Neurons and Central Pattern Generators, I/O Equivalence and Spiking Neuron Models.

Encoding with Neural Circuits

Stimulus Representation with Time Encoding Machines, Geometry of Time Encoding, Encoding with Neural Circuits with Feedback, Spatio-Temporal Receptive Fields, Population Audio and Video Time Encoding Machines.

Functional Identification of Neural Circuits

Modeling Dendritic Stimulus Processors, Channel Identification Machines, A Fundamental Duality between Neural Decoding and Functional Identification, Identifying Spatio-Temporal Receptive Fields and Biophysical Spike Generators.

Projects in Matlab or Python

ECBM E4090: Brain Computer Interface Laboratory

Hands on experience with neural signal recording and analysis

Gaining experience with electroencephelography (EEG)

Exploring the applications in scientific, engineering and medical fields

Prof. Nima Mesgarani

ECBM E4060 Introduction to Genomic Information Science and Technology

Prof. Dimitris Anastassiou

Introduction to the information system paradigm of molecular biology.

Representation, organization, structure, function and manipulation of the biomolecular sequences of nucleic acids and proteins.

The role of enzymes and gene regulatory elements in natural biological functions as well as in biotechnology and genetic engineering.

BMEE E4030 Neural Control EngineeringProf. Qi Wang

Basic cell biophysics, models of neurons, ion channels, spike generation

Large-scale electrophysiological recording methods, sensorimotor integration and optimal state estimation, operant conditioning of neural activity

Nonlinear modeling of neural systems, sensory systems Neural encoding model Neuronal response to electrical micro-stimulation, DBS for

Parkinson's disease treatment, motor neural prostheses, and sensory neural prostheses.

Getting involved in research

Many opportunities to work on neuro/bio related research projects: experimental, medical, computational or theoretical projects.

Open Labs 2-4PM

Contact the faculty directlyhttp://www.ee.columbia.edu/systems-biology-and-neuroengineering

Up to 6 points of research counts towards MS degree (e.g. ELEN E4998, ELEN E6001, ELEN E6002)