Liam Paninski, OPS setup is depicted and related to real BCI

The cartoon above depicts the OPS: (a) Actual overt movements of the user are detected. (b) Synthetic neural activity is generated in some fashion derived from the overt movements. (c) The decoder sees only the simulated activity and provides a decoded estimate of the cursor position. (d) The cursor is placed on the screen along with the target permitting visual […]

Rafael Yuste, SLM Two-Photon Microscope and Multiplane Structural Imaging

Imaging the activity of large populations of neurons within the brain could be critical towards understanding the function of neuronal circuits. Spatial Light Modulator (SLM) microscopy is a simple holographic method that allows one to simultaneously image activity of neurons across large spatial areas or in multiple layers (L2/3 and L5) of the mouse cortex in vivo. This approach allows […]

Aurel Lazar

(Fellow, IEEE), Professor of Electrical Engineeringg Columbia University My current research interests are in computing with neural circuits (in silico), and on reverse engineering the fruit fly (Drosophila melanogaster) brain (in vivo). My work on computing with neural circuits is centered on Neural Computing Engines and on Massively Parallel Neural Computation. I pioneered formal theoretical methods of neural encoding and […]

Michal Lipson


Professor of Electrical Engineering Columbia University We investigate the physics and applications of nanoscale photonic structures. In particular, we are interested in light confining structures that can slow down, trap, enhance and manipulate light. Photonic structures can enhance light-matter interactions by orders of magnitude.The applications of the devices that we design, fabricate and demonstrate are numerous: on-chip light modulation (optically […]

Ozgur Sahin

Associate Professor of Biological Sciences and Physics Columbia University The Sahin Laboratory investigates biological systems that function under physical extremes like short timescales, confinement to nanoscale regions of space, and high mechanical forces. Quite often we encounter interesting phenomena in these biological systems that we enjoy applying to medical, environmental, and energy related problems. Personal Website

Tony Jebara

Professor Computer Science Columbia University Tony directs the Columbia Machine Learning Laboratory. Our research area is machine learning, a field which develops novel algorithms that use data to model complex real-world phenomena and to make accurate predictions about them. Our work spans both the applied and the fundamental aspects of the field. We have made contributions by migrating generalized matching, […]

Paul Sajda

Professor of Biomedical Engineering, Radiology (Physics) and Electrical Engineering Columbia University Columbia University’s Laboratory for Intelligent Imaging and Neural Computing (LIINC) was founded in September 2000 by Paul Sajda. The mission of LIINC is to using principles of reverse “neuro”-engineering to characterize the cortical networks underlying perceptual and cognitive processes, such as rapid decision making, in the human brain. Our […]

Larry Abbott

Professor of Neuroscience and Biological Sciences Columbia University My research involves the computational modeling and mathematical analysis of neurons and neural networks. Analytic techniques and computer simulation are used to study how single neurons respond to their many synaptic inputs, how neurons interact to produce functioning neural circuits, and how large populations of neurons represent, store, and process information. Areas […]

John P. Cunningham

Assistant Professor of Statistics and Neuroscience Columbia University Many fields and industries are witnessing huge increases in the quantity and complexity of recorded data. This changing data paradigm will only lead to a similarly dramatic increase in theoretical understanding and useful technologies if we create the analytical methods to meaningfully interrogate this data. Creating these statistical and machine learning algorithms […]

Wei Min

Assistant Professor of Chemistry Columbia University Fluorescence microscopy is currently the most popular contrast mechanism employed in optical imaging. However, fluorescence imaging faces fundamental limitations for studying the vast number of small bio-molecules such as metabolites (e.g., amino acids), second messengers, neurotransmitters and drugs, because the relatively bulky fluorescent tags often destroy or significantly alter the biological activities of small […]