CNL Publication Search: Type=Cited Technical Report
CNL Publication Index: BibTeX
This database contains all the publications of Terrence J. Sejnowski starting in 1969.
Most of these publications can be downloaded in PDF format. They are made available for individual use only; contact the publisher and the author to receive permission for reproduction in any form.
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Basic Search
Found 29 Cited Technical ReportsFound 29 Total.
Cited Technical Reports
- Muller, L., Churchland, P. S., Sejnowski, T. J. Transformers and Cortical Waves: Encoders for Pulling In Context Across Time, arXiv:2401.14267, 2024 (PDF)
- Chen, Y., Zhang, H., Sejnowski, TJ., , 2022.05.19.492731 (2022). Predictive Sequence Learning in the Hippocampal Formation, BioRxiv, 2022.05.19.492731, 2023
- Keller, T. A., Muller, L., Sejnowski, T., & Welling, M. Traveling Waves Encode the Recent Past and Enhance Sequence Learning, arXiv, 2309.08045, 2023 (PDF)
- Sejnowski, T. J. Large Language Models and the Reverse Turing Test., arxiv.org/abs/2207.14382, 2022 (PDF)
- Comstock, L., Lainscsek, C., Vinñcius, R., Carvalho, V. R., Mendes, E. M. A. M., Fallah, A., Sejnowski, T. J. Exploratory methods for high-performance EEG speech decoding, BioRxiv, https://doi.org/10.1101/2021.11.16.468876, 2021 (PDF)
- Ernst, O.K., Bartol, T., Sejnowski, T. J., Mjolsness, E. Physics-based machine learning for modeling stochastic IP3-dependent calcium dynamics, arXiv:2109.05053, 2021
- Pinto-Duarte, A., Sejnowski T. J., Srinivasan, S. A conserved principle of glial organization in the paleocortex and neocortex, BioRxiv, http://dx.doi.org/10.1101/449421, 2019 (PDF)
- Kim, K., Li, Y., Sejnowski, T. J. Simple Framework for Constructing Functional Spiking Recurrent Neural Networks, BioaRxiv, doi.org/10.1101/579706, 2019 (PDF)
- Kim, R., Sejnowski, T. J. Spiking Recurrent Networks as a Model to Probe Neuronal Timescales Specific to Working Memory, BioaRxiv, doi.org/10.1101/842302, 2019 (PDF)
- Nakahira, Y. Liu, Q. Sejnowski, T. J. Doyle, J. C. Fitts' Law for speed-accuracy trade-off is a diversity sweet spot in sensorimotor control, arXiv:1906.00905, 2019 (PDF)
- Nakahira, Y., Liu, Q., Sejnowski, T. J., Doyle, J. C. Diversity-enabled sweet spots in layered architectures and speed-accuracy trade-offs in sensorimotor control, arXiv:1909.08601, 2019 (PDF)
- Siddharth, S. Patel, A. Jung, T.-P. Sejnowski, T. J. An Affordable Bio-Sensing and Activity Tagging Platform for HCI Research, arXiv:1802.07852, 2018 (PDF)
- Vogelstein, J. T. et al. Grand Challenges for Global Brain Sciences, arXiv:1608.06548, 2017 (PDF)
- Bartol, T. M. Jr. Bromer, C. Kinney, J. P. Chirillo, M. A. Bourne, J. N. Harris, K. M. Sejnowski, T. J. Hippocampal Spine Head Sizes are Highly Precise, BioaRxiv, doi: http://dx.doi.org/10.1101/016329, 2015 (PDF)
- Nadkarni, S. Bartol,T Sejnowski, T. J. Levine, H. Spatial and Temporal Correlates of Vesicular Release at Hippocampal Synapses, arXiv, 1004.2009v1 [q-bio.NC], 2010 (PDF)
- Nadkarni, S. Bartol, T.M. Sejnowski, T. J. Levine, H. Are the Docked Vesicles at CA3-CA1 Synapses at the Active Zone Functionally Coupled?, INC Technical Report, INC-09-001, 2009 (PDF)
- Brown, G.D., Yamada, S. Nakashima, M. Moore-Kochlacs, C, Sejnowski, T. J. Independent Component Analysis of Optical Recordings from Tritonia Swimming Neurons, Institute for Neural Computation, University of California at San Diego Technical Report, INC-08-001, 2008 (PDF)
- Ghahremani, D. Makeig, S. Jung, T.-P. Bell, A. J. Sejnowski, T. J. Independent Component Analysis of Simulated EEG Using a Three-Shell Spherical Head Model, Institute for Neural Computation Technical Report Series, INC-9601, 1996 (PDF)
- Makeig, S. Jung, T.-P. Ghahremani, D. Sejnowski, T. J. Independent Component Analysis of Simulated ERP Data, Institute for Neural Computation Technical Report Series, INC-9606, 1996 (PDF)
- Bell, A. J. Mainen, Z. F. Tsodyks, M. Sejnowski, T. J. Balancing of Conductances May Explain Irregular Cortical Spiking, Institute for Neural Computation Technical Report Series, INC-9502, 1995 (PDF)
- Goodhill, G. J. Finch, S. Sejnowski, T. J. Quantifying Neighbourhood Preservation in Topographic Mappings, Institute for Neural Computation Technical Report Series, INC-9505, 1995
- Stensmo, M. Sejnowski, T. J. A Mixture Model Diagnosis System, Institute for Neural Computation Technical Report Series, INC-9401, 1994 (PDF)
- Li, S. Sejnowski, T. J. Adaptive Separation of Mixed Broadband Sound Sources with Delays by a Beamforming Hￃﾩrault-Jutten Network, Institute for Neural Computation Technical Report Series, INC-9304, 1993 (PDF)
- Destexhe, A. Contreras, D. Sejnowski, T. J. Steriade, M. A Model of Spindle Rhythmicity in the Isolated Thalamic Reticular Nucleus, Institute for Neural Computation Technical Report Series, INC-9308, 1993
- Gray, M. S. Lawrence, D. T. Golomb, B. A. Sejnowski, T. J. A Perceptron Reveals the Face of Sex, Institute for Neural Computation Technical Report Series, INC-9303, 1993 (PDF)
- Final Report To NSF of the Planning Workshop on Facial Expression Understanding Ekman, P. Huang, T. S. Sejnowski, T. J. Hager, J. C. (Ed.), A Human Face, 1992 (PDF)
- Lisberger, S. G. Sejnowski, T. J. Computational Analysis Suggests a New Hypothesis for Motor Learning in the Vestibulo-Ocular Reflex, Institute for Neural Computation Technical Report Series, INC-9201, 1992 (PDF)
- Sejnowski, T. J. Rosenberg, C. R. NETtalk: A Parallel Network That Learns to Read Aloud Anderson, J. A. Rosenfeld, E. (Ed.), Neurocomputing, Reprinted: Cambridge, MA: MIT Press, 1988 (PDF)
- Hinton, G. E. Sejnowski, T. J. Ackley, D. H. Boltzmann Machines: Constraint Satisfaction Networks That Learn, Carnegie-Mellon University Computer Science Technical Report, CMU-CS-84-119, 1984 (PDF)
