Nabil Imam Personal Photo

Nabil Imam

I work on topics in machine learning and theoretical neuroscience with the goal of understanding general principles of neural coding and computation, and their technological applications.

Contact: ni49@cornell.edu

Selected Publications

Nabil Imam and Barbara Finlay. Self-organization of cortical areas in the development and evolution of neocortex. Proceedings of the National Academy of Sciences, 2020.

Nabil Imam and Thomas Cleland. Rapid online learning and robust recall in a neuromorphic olfactory circuit. Nature Machine Intelligence, 2020 (featured in journal cover).

Paul Merolla, et al. A million spiking-neuron integrated circuit with a scalable communication network and interface. Science, 2014 (featured in journal cover).

Nabil Imam, et al. A digital neurosynaptic core using event-driven QDI circuits. IEEE International Symposium on Asynchronous Circuits and Systems, 2012 (Best Paper Award).

Selected Press

MIT Tech Review: A new computer chip mimics the neurocircuitry of our noses to smell.

IEEE Spectrum: Intel's neuromorphic nose learns scents in just one sniff.

MIT Tech Review: A camera that sees like a human eye​.

New York Times: IBM develops a new chip that functions like a brain.

Scientific American: Computing after Moore's Law.