T. J. Sejnowski

15.1k citations

48 papers · 9.9k indexed · 4 hit papers · h-index 30

Cognitive Neuroscience top 0.1%
Cellular and Molecular Neuroscience top 0.2%
Molecular Biology top 10%
Signal Processing top 0.5%
Artificial Intelligence top 2%

Co-authors: Mircea Steriade David A. McCormick Scott Makeig Zachary F. Mainen Arnaud Delorme Alain Destexhe S. G. Lisberger Misha Tsodyks
Topics: Neural dynamics and brain function (28 papers)Photoreceptor and optogenetics research (14 papers)Neuroscience and Neuropharmacology Research (10 papers)
Cited by: Cognitive Neuroscience Cellular and Molecular Neuroscience Signal Processing
Journals: Nature Science Proceedings of the National Academy of Sciences
Partner nations: United States Canada Germany

In The Last Decade

T. J. Sejnowski

48 papers receiving 9.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Thalamocortical Oscillations in the Sleeping and Aroused Brain

1993 2.7k citations Mircea Steriade, David A. McCormick et al. Science profile →
The “independent components” of natural scenes are edge filters

1997 1.5k citations T. J. Sejnowski et al. Vision Research profile →
Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis

2007 1.3k citations T. J. Sejnowski, Scott Makeig et al. profile →
Influence of dendritic structure on firing pattern in model neocortical neurons

1996 947 citations T. J. Sejnowski et al. Nature profile →

Peers

Countries citing papers authored by T. J. Sejnowski

Since Specialization

Citations

This map shows the geographic impact of T. J. Sejnowski's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by T. J. Sejnowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. J. Sejnowski more than expected).

Fields of papers citing papers by T. J. Sejnowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. J. Sejnowski. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by T. J. Sejnowski. The network helps show where T. J. Sejnowski may publish in the future.

Co-authorship network of co-authors of T. J. Sejnowski

This figure shows the co-authorship network connecting the top 25 collaborators of T. J. Sejnowski. A scholar is included among the top collaborators of T. J. Sejnowski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with T. J. Sejnowski. T. J. Sejnowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	VolRoverN: Enhancing Surface and Volumetric Reconstruction for Realistic Dynamical Simulation of Cellular and Subcellular Function 2013 ·Neuroinformatics ·John Edwards,Eric D. Daniel,Justin P. Kinney,(unknown),T. J. Sejnowski,Daniel Johnston,Kristen M. Harris,Chandrajit Bajaj	15
2	A new correlation-based measure of spike timing reliability 2003 ·Neurocomputing ·Susanne Schreiber,Jean‐Marc Fellous,Diane Whitmer,Paul Tiesinga,T. J. Sejnowski	232
3	A Prototype for Automatic Recognition of Spontaneous Facial Actions 2002 ·Neural Information Processing Systems ·(unknown),Gwen Littlewort,T. J. Sejnowski,Javier R. Movellan	50
4	Imaging brain dynamics using independent component analysis 2001 ·Proceedings of the IEEE ·Tzyy‐Ping Jung,Scott Makeig,Martin J. McKeown,A. J. Bell,(unknown),T. J. Sejnowski	389
5	Self–sustained rhythmic activity in the thalamic reticular nucleus mediated by depolarizing GABAA receptor potentials 1999 ·Nature Neuroscience ·Maksim Bazhenov,Igor Timofeev,Mircea Steriade,T. J. Sejnowski	126
6	The “independent components” of natural scenes are edge filtersbreakdown → 1997 ·Vision Research ·(unknown),T. J. Sejnowski	1471
7	Self-organized segmentation of time series: separating growth hormone secretion in acromegaly from normal controls 1996 ·Biophysical Journal ·Klaus Prank,(unknown),Steven J. Nowlan,T. J. Sejnowski,Georg Brabant	17
8	Time series prediction of plasma hormone concentration. Evidence for differences in predictability of parathyroid hormone secretion between osteoporotic patients and normal controls. 1995 ·Journal of Clinical Investigation ·Klaus Prank,Steven J. Nowlan,(unknown),(unknown),Georg Brabant,R. D. Hesch,T. J. Sejnowski	23
9	Learning and Memory in the Vestibulo-Ocular Reflex 1995 ·Annual Review of Neuroscience ·Sophie Lac,Jennifer L Raymond,T. J. Sejnowski,S. G. Lisberger	174
10	Bee foraging in uncertain environments using predictive hebbian learning 1995 ·Nature ·P. Read Montague,Peter Dayan,(unknown),T. J. Sejnowski	209
11	Neural pattern formation via a competitive Hebbian mechanism 1995 ·Behavioural Brain Research ·Klaus Obermayer,T. J. Sejnowski,Gary G. Blasdel	12
12	A model for 8–10 Hz spindling in interconnected thalamic relay and reticularis neurons 1993 ·Biophysical Journal ·Alain Destexhe,David A. McCormick,T. J. Sejnowski	95
13	A lower bound on the detectability of nonassociative learning in the local bending reflex of the medicinal leech 1993 ·Behavioral and Neural Biology ·Shawn R. Lockery,T. J. Sejnowski	16
14	Ionic mechanisms for intrinsic slow oscillations in thalamic relay neurons 1993 ·Biophysical Journal ·Alain Destexhe,A. Babloyantz,T. J. Sejnowski	124
15	Thalamocortical Oscillations in the Sleeping and Aroused Brainbreakdown → 1993 ·Science ·Mircea Steriade,David A. McCormick,T. J. Sejnowski	2729
16	Silicon brains: innovative computer devices are being inspired by the results of research on the brains of nature's creatures 1992 ·BYTE archive ·T. J. Sejnowski,Patricia Smith Churchland	2
17	Motor learning in a recurrent network model based on the vestibulo–ocular reflex 1992 ·Nature ·S. G. Lisberger,T. J. Sejnowski	150
18	Computer model of ethosuximide's effect on a thalamic neuron 1992 ·Annals of Neurology ·William W. Lytton,T. J. Sejnowski	19
19	Neural Models of Binocular Depth Perception 1990 ·Cold Spring Harbor Symposia on Quantitative Biology ·Sidney R. Lehky,Alexandre Pouget,T. J. Sejnowski	23
20	Line element model of disparity discrimination 1987 ·Sidney R. Lehky,Jennifer M. Jester,T. J. Sejnowski	3

About T. J. Sejnowski

T. J. Sejnowski is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics, having authored 48 papers that have together received 9.9k indexed citations. Recurring topics across this work include Neural dynamics and brain function (28 papers), Photoreceptor and optogenetics research (14 papers) and Neuroscience and Neuropharmacology Research (10 papers). The work is most often cited by research in Cognitive Neuroscience (7.1k citations), Cellular and Molecular Neuroscience (4.0k citations) and Signal Processing (1.1k citations). T. J. Sejnowski has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Mircea Steriade, David A. McCormick, Scott Makeig, Zachary F. Mainen, Arnaud Delorme, Alain Destexhe, S. G. Lisberger, Misha Tsodyks, Ning Qian and Thierry Bal. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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