CNL Publication Search: Kim, R.
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.
Please report any errors in the publication database here.
Basic Search
Found 5 ArticlesFound 1 Cited Technical Report
Found 1 Abstract
Found 7 Total.
Articles
- Li, Y., Kim, R., Sejnowski, T.J. Learning the Synaptic and Intrinsic Membrane Dynamics Underlying Working Memory in Spiking Neural Network Models, Neural Computation, 33, 3264-3287, 2021 (PDF)
- Kim, R. Sejnowski, T. J. Strong inhibitory signaling underlies stable temporal dynamics and working memory in spiking neural networks, Nature Neuroscience, 24(1): 129-139, 2021 (PDF)
- Kim, R. Li, Y. Sejnowski, T. J. Simple Framework for Constructing Functional Spiking Recurrent Neural Networks, Proceedings of the National Academy of Sciences, U.S.A., 116, 22811-22820, 2019 (PDF)
- Lainscsek, C. Sampson, A.L. Kim, R. Thomas, M.L. Man, K. Lainscsek, X. COGS Investigators Swerdlow, N.R. Braff, D.L. Sejnowski, T. J. Light, G.A. Nonlinear dynamics underlying sensory processing dysfunction in schizophrenia, Proc Natl Acad Sci U S A., 116(9), 3847-3852, 2019 (PDF)
- Veit, J. Hakim, R. Jadi, M. P. Sejnowski, T. J. Adesnik, H. Cortical gamma band synchronization through somatostatin interneurons, Nature Neuroscience, 20(7): 951-959, 2017 (PDF)
Cited Technical Report
- 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)
Abstract
- Knickrehm, J. Kim, R. Lainscsek, C. Sampson, A. L. Gur, R. C. Gur, R. E. The Cogs Investigators, Sejnowski, T. J. LIGHT, G. A. Machine learning approaches to characterize neurophysiological and cognitive measures predictive of schizophrenia diagnosis, Society for Neuroscience Abstracts, 2019
