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ORCIDTerrence J. Sejnowski
- > Home > Persons > Terrence J. Sejnowski
Publications
- 2022
[j131]Dhireesha Kudithipudi, Mario Aguilar-Simon, Jonathan Babb, Maxim Bazhenov, Douglas Blackiston
, Josh C. Bongard, Andrew P. Brna, Suraj Chakravarthi Raja, Nick Cheney, Jeff Clune, Anurag Reddy Daram, Stefano Fusi, Peter Helfer, Leslie Kay, Nicholas Ketz, Zsolt Kira, Soheil Kolouri, Jeffrey L. Krichmar, Sam Kriegman, Michael Levin, Sandeep Madireddy, Santosh Manicka, Ali Marjaninejad, Bruce McNaughton, Risto Miikkulainen, Zaneta Navratilova, Tej Pandit, Alice Parker, Praveen K. Pilly, Sebastian Risi, Terrence J. Sejnowski, Andrea Soltoggio, Nicholas Soures, Andreas S. Tolias, Darío Urbina-Meléndez, Francisco J. Valero Cuevas, Gido M. van de Ven, Joshua T. Vogelstein, Felix Wang, Ron Weiss, Angel Yanguas-Gil, Xinyun Zou, Hava T. Siegelmann:
Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. 4(3): 196-210 (2022)- 2021
- [j127]Tyler L. Hayes, Giri P. Krishnan, Maxim Bazhenov, Hava T. Siegelmann, Terrence J. Sejnowski, Christopher Kanan:
Replay in Deep Learning: Current Approaches and Missing Biological Elements. Neural Comput. 33(11): 2908-2950 (2021) - [i13]Tyler L. Hayes, Giri P. Krishnan, Maxim Bazhenov, Hava T. Siegelmann, Terrence J. Sejnowski, Christopher Kanan:
Replay in Deep Learning: Current Approaches and Missing Biological Elements. CoRR abs/2104.04132 (2021) - 2020
- [j123]Tiger W. Lin, Yusi Chen, Qasim Bukhari, Giri P. Krishnan, Maxim Bazhenov, Terrence J. Sejnowski:
Differential Covariance: A New Method to Estimate Functional Connectivity in fMRI. Neural Comput. 32(12): 2389-2421 (2020) - 2018
- [j116]Giri P. Krishnan, Burke Q. Rosen, Jen-Yung Chen, Lyle Muller, Terrence J. Sejnowski, Sydney S. Cash, Eric Halgren, Maxim Bazhenov:
Thalamocortical and intracortical laminar connectivity determines sleep spindle properties. PLoS Comput. Biol. 14(6) (2018) - 2017
- [j110]Tiger W. Lin, Anup Das, Giri P. Krishnan, Maxim Bazhenov, Terrence J. Sejnowski:
Differential Covariance: A New Class of Methods to Estimate Sparse Connectivity from Neural Recordings. Neural Comput. 29(10): 2581-2632 (2017) - 2014
- [j97]Samat Moldakarimov, Maxim Bazhenov, Terrence J. Sejnowski:
Top-Down Inputs Enhance Orientation Selectivity in Neurons of the Primary Visual Cortex during Perceptual Learning. PLoS Comput. Biol. 10(8) (2014) - [j96]Rachel A. Mak-McCully, Stephen R. Deiss, Burke Q. Rosen, Ki-Young Jung, Terrence J. Sejnowski, Hélène Bastuji, Marc Rey, Sydney S. Cash, Maxim Bazhenov, Eric Halgren:
Synchronization of Isolated Downstates (K-Complexes) May Be Caused by Cortically-Induced Disruption of Thalamic Spindling. PLoS Comput. Biol. 10(9) (2014) - 2013
- [j93]Vladislav Volman, Maxim Bazhenov, Terrence J. Sejnowski:
Divide and Conquer: Functional Segregation of Synaptic Inputs by Astrocytic Microdomains Could Alleviate Paroxysmal Activity Following Brain Trauma. PLoS Comput. Biol. 9(1) (2013) - 2012
- [j90]Vladislav Volman, Maxim Bazhenov, Terrence J. Sejnowski:
Computational models of neuron-astrocyte interaction in epilepsy. Frontiers Comput. Neurosci. 6: 58 (2012) - 2011
- [j83]Vladislav Volman, Maxim Bazhenov, Terrence J. Sejnowski:
Pattern of trauma determines the threshold for epileptic activity in a model of cortical deafferentation. Proc. Natl. Acad. Sci. USA 108(37): 15402-15407 (2011) - 2010
- [j81]Samat Moldakarimov, Maxim Bazhenov, Terrence J. Sejnowski:
Representation Sharpening Can Explain Perceptual Priming. Neural Comput. 22(5): 1312-1332 (2010) - 2008
- [j72]Luca A. Finelli, Seth Haney, Maxim Bazhenov, Mark Stopfer, Terrence J. Sejnowski:
Synaptic Learning Rules and Sparse Coding in a Model Sensory System. PLoS Comput. Biol. 4(4) (2008) - 2002
- [j51]Fredrick W. Howell, Maxim Bazhenov, P. Rogister, Terrence J. Sejnowski, Nigel H. Goddard:
Scaling a slow-wave sleep cortical network model using NEOSIM. Neurocomputing 44-46: 453-458 (2002) - 1999
- [j30]Arthur R. Houweling, Maxim Bazhenov, Igor Timofeev, Mircea Steriade, Terrence J. Sejnowski:
Cortical and thalamic components of augmenting responses: A modeling study. Neurocomputing 26-27: 735-742 (1999)
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