Simon M. Stringer

2.6k total citations
75 papers, 1.8k citations indexed

About

Simon M. Stringer is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Simon M. Stringer has authored 75 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Cognitive Neuroscience, 24 papers in Cellular and Molecular Neuroscience and 12 papers in Artificial Intelligence. Recurrent topics in Simon M. Stringer's work include Neural dynamics and brain function (53 papers), Visual perception and processing mechanisms (26 papers) and Memory and Neural Mechanisms (24 papers). Simon M. Stringer is often cited by papers focused on Neural dynamics and brain function (53 papers), Visual perception and processing mechanisms (26 papers) and Memory and Neural Mechanisms (24 papers). Simon M. Stringer collaborates with scholars based in United Kingdom, United States and Canada. Simon M. Stringer's co-authors include Edmund T. Rolls, Thomas Trappenberg, Ivan E. de Araújo, Gavin Perry, Nora Hunter, Hector Page, Mark Woolhouse, Louise Matthews, Kathryn J. Jeffery and Roy M. Anderson and has published in prestigious journals such as PLoS ONE, Psychological Review and The Journal of Physiology.

In The Last Decade

Simon M. Stringer

71 papers receiving 1.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Simon M. Stringer 1.4k 682 187 170 164 75 1.8k
Marco Idiart 1.6k 1.1× 952 1.4× 337 1.8× 184 1.1× 187 1.1× 68 2.4k
Kechen Zhang 1.8k 1.2× 1.0k 1.5× 207 1.1× 101 0.6× 184 1.1× 45 2.3k
Angelo Arleo 1.0k 0.7× 787 1.2× 98 0.5× 121 0.7× 314 1.9× 81 1.8k
Davide Zoccolan 1.8k 1.2× 548 0.8× 167 0.9× 322 1.9× 119 0.7× 35 2.3k
Daniel J. Felleman 1.4k 1.0× 374 0.5× 70 0.4× 120 0.7× 202 1.2× 17 1.7k
Wu Li 3.0k 2.1× 859 1.3× 130 0.7× 252 1.5× 299 1.8× 51 3.4k
Chou P. Hung 1.2k 0.8× 520 0.8× 73 0.4× 132 0.8× 257 1.6× 29 1.6k
Leila Reddy 2.3k 1.6× 630 0.9× 170 0.9× 272 1.6× 102 0.6× 47 2.8k
Ila Fiete 2.0k 1.4× 1.3k 2.0× 329 1.8× 87 0.5× 93 0.6× 47 2.5k
Dori Derdikman 1.7k 1.2× 1.3k 1.8× 81 0.4× 54 0.3× 168 1.0× 35 2.1k

Countries citing papers authored by Simon M. Stringer

Since Specialization
Citations

This map shows the geographic impact of Simon M. Stringer'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 Simon M. Stringer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon M. Stringer more than expected).

Fields of papers citing papers by Simon M. Stringer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon M. Stringer. 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 Simon M. Stringer. The network helps show where Simon M. Stringer may publish in the future.

Co-authorship network of co-authors of Simon M. Stringer

This figure shows the co-authorship network connecting the top 25 collaborators of Simon M. Stringer. A scholar is included among the top collaborators of Simon M. Stringer 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 Simon M. Stringer. Simon M. Stringer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Stringer, Simon M., et al.. (2020). The formation and use of hierarchical cognitive maps in the brain: A neural network model. Network Computation in Neural Systems. 31(1-4). 37–141. 4 indexed citations
2.
Smithson, Hannah E., et al.. (2018). Self-organising coordinate transformation with peaked and monotonic gain modulation in the primate dorsal visual pathway. PLoS ONE. 13(11). e0207961–e0207961. 2 indexed citations
3.
Higgins, Irina, Simon M. Stringer, & Jan W. H. Schnupp. (2017). Unsupervised learning of temporal features for word categorization in a spiking neural network model of the auditory brain. PLoS ONE. 12(8). e0180174–e0180174. 8 indexed citations
4.
Humphreys, Glyn W., et al.. (2017). The neural representation of the gender of faces in the primate visual system: A computer modeling study.. Psychological Review. 124(2). 154–167. 3 indexed citations
5.
Fox, Elaine, et al.. (2016). Understanding the neural basis of cognitive bias modification as a clinical treatment for depression.. Journal of Consulting and Clinical Psychology. 85(3). 200–217. 4 indexed citations
6.
Ahmad, Nasir, Irina Higgins, Kerry M. M. Walker, & Simon M. Stringer. (2016). Harmonic Training and the Formation of Pitch Representation in a Neural Network Model of the Auditory Brain. Frontiers in Computational Neuroscience. 10. 24–24. 6 indexed citations
7.
Stringer, Simon M., et al.. (2015). The Development of Hand-Centered Visual Representations in the Primate Brain: A Computer Modeling Study Using Natural Visual Scenes. Frontiers in Computational Neuroscience. 9. 147–147. 3 indexed citations
8.
Evans, Benjamin D. & Simon M. Stringer. (2014). STDP in lateral connections creates category-based perceptual cycles for invariance learning with multiple stimuli. Biological Cybernetics. 109(2). 215–239. 1 indexed citations
9.
Neymotin, Samuel A., et al.. (2014). Color opponent receptive fields self-organize in a biophysical model of visual cortex via spike-timing dependent plasticity. Frontiers in Neural Circuits. 8. 16–16. 4 indexed citations
10.
Stringer, Simon M., et al.. (2013). Path Integration of Head Direction: Updating a Packet of Neural Activity at the Correct Speed Using Axonal Conduction Delays. PLoS ONE. 8(3). e58330–e58330. 12 indexed citations
11.
Evans, Benjamin D., et al.. (2013). A Self-Organizing Model of the Visual Development of Hand-Centred Representations. PLoS ONE. 8(6). e66272–e66272. 4 indexed citations
12.
Higgins, Irina, et al.. (2012). Learning view invariant recognition with partially occluded objects. Frontiers in Computational Neuroscience. 6. 48–48. 4 indexed citations
13.
Higgins, Irina & Simon M. Stringer. (2011). The role of independent motion in object segmentation in the ventral visual stream: Learning to recognise the separate parts of the body. Vision Research. 51(6). 553–562. 3 indexed citations
14.
Perry, Gavin, Edmund T. Rolls, & Simon M. Stringer. (2010). Continuous transformation learning of translation invariant representations. Experimental Brain Research. 204(2). 255–270. 15 indexed citations
15.
Perry, Gavin, Edmund T. Rolls, & Simon M. Stringer. (2006). Spatial vs temporal continuity in view invariant visual object recognition learning. Vision Research. 46(23). 3994–4006. 36 indexed citations
16.
Rolls, Edmund T. & Simon M. Stringer. (2006). Invariant visual object recognition: A model, with lighting invariance. Journal of Physiology-Paris. 100(1-3). 43–62. 44 indexed citations
17.
Rolls, Edmund T. & Simon M. Stringer. (2005). Spatial view cells in the hippocampus, and their idiothetic update based on place and head direction. Neural Networks. 18(9). 1229–1241. 36 indexed citations
18.
Stringer, Simon M., Edmund T. Rolls, & Thomas Trappenberg. (2003). Self-organising continuous attractor networks with multiple activity packets, and the representation of space. Neural Networks. 17(1). 5–27. 50 indexed citations
19.
Rolls, Edmund T., et al.. (2002). Invariant recognition of feature combinations in the visual system. Biological Cybernetics. 86(1). 59–71. 52 indexed citations
20.
Stringer, Simon M., et al.. (1998). A mathematical model of the dynamics of scrapie in a sheep flock. Mathematical Biosciences. 153(2). 79–98. 42 indexed citations

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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