| 2024 | ICLR | Traveling Waves Encode The Recent Past and Enhance Sequence Learning. | T. Anderson Keller, Lyle Muller, Terrence J. Sejnowski, Max Welling |
| 2024 | ICML | Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks. | Arjun Karuvally, Terrence J. Sejnowski, Hava T. Siegelmann |
| 2023 | ICML | General Sequential Episodic Memory Model. | Arjun Karuvally, Terrence J. Sejnowski, Hava T. Siegelmann |
| 2017 | HCI | An Affordable Bio-Sensing and Activity Tagging Platform for HCI Research. | Siddharth, Aashish N. Patel, Tzyy-Ping Jung, Terrence J. Sejnowski |
| 2012 | ISIT | A Berger-Levy energy efficient neuron model with unequal synaptic weights. | Jie Xing, Toby Berger, Terrence J. Sejnowski |
| 2007 | BIBE | Toward Petascale Simulation of Cellular Microphysiology. | Scott B. Baden, Terrence J. Sejnowski, Thomas M. Bartol, Joel R. Stiles |
| 1998 | ICASSP | Combining time-delayed decorrelation and ICA: towards solving the cocktail party problem. | Te-Won Lee, Andreas Ziehe, Reinhold Orglmeister, Terrence J. Sejnowski |
| 1997 | ICANN | Correlation Coding in Stochastic Neural Networks. | Raphael Ritz, Terrence J. Sejnowski |
| 1997 | ICANN | Objective Functions for Neural Map Formation. | Laurenz Wiskott, Terrence J. Sejnowski |
| 1995 | COLT | Predictive Hebbian Learning. | Terrence J. Sejnowski, Peter Dayan, P. Read Montague |
| 1995 | ICASSP | Blind separation and blind deconvolution: an information-theoretic approach. | Anthony J. Bell, Terrence J. Sejnowski |
| 1990 | IJCNN | A dynamical neural network model of sensorimotor transformations in the leech. | Shawn R. Lockery, Yan Fang, Terrence J. Sejnowski |
| 1986 | ACL | Language Learning in Massively-Parallel Networks. | Terrence J. Sejnowski |
| 1983 | AAAI | Massively Parallel Architectures for AI: NETL, Thistle, and Boltzmann Machines. | Scott E. Fahlman, Geoffrey E. Hinton, Terrence J. Sejnowski |