Kenneth D. Miller

12.5k total citations · 1 hit paper
78 papers, 7.5k citations indexed

About

Kenneth D. Miller is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Kenneth D. Miller has authored 78 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Cognitive Neuroscience, 50 papers in Cellular and Molecular Neuroscience and 12 papers in Electrical and Electronic Engineering. Recurrent topics in Kenneth D. Miller's work include Neural dynamics and brain function (63 papers), Visual perception and processing mechanisms (36 papers) and Neuroscience and Neuropharmacology Research (31 papers). Kenneth D. Miller is often cited by papers focused on Neural dynamics and brain function (63 papers), Visual perception and processing mechanisms (36 papers) and Neuroscience and Neuropharmacology Research (31 papers). Kenneth D. Miller collaborates with scholars based in United States, Poland and United Kingdom. Kenneth D. Miller's co-authors include L. F. Abbott, Sen Song, David Ferster, Michael P. Stryker, Todd W. Troyer, David Mackay, Joseph B. Keller, Anton E. Krukowski, Daniel B. Rubin and Nicholas J. Priebe and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Kenneth D. Miller

75 papers receiving 7.3k citations

Hit Papers

Competitive Hebbian learning through spike-timing-depende... 2000 2026 2008 2017 2000 500 1000 1.5k

Peers

Kenneth D. Miller
Stefano Fusi United States
Sen Song China
Peter E. Latham United Kingdom
Michael L. Hines United States
Idan Segev Israel
Kevan A Martin Switzerland
E. J. Chichilnisky United States
Nicholas T. Carnevale United States
David Ferster United States
Stefano Fusi United States
Kenneth D. Miller
Citations per year, relative to Kenneth D. Miller Kenneth D. Miller (= 1×) peers Stefano Fusi

Countries citing papers authored by Kenneth D. Miller

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth D. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenneth D. Miller. 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 Kenneth D. Miller. The network helps show where Kenneth D. Miller may publish in the future.

Co-authorship network of co-authors of Kenneth D. Miller

This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth D. Miller. A scholar is included among the top collaborators of Kenneth D. Miller 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 Kenneth D. Miller. Kenneth D. Miller 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.
Goris, Robbe L. T., Ruben Coen-Cagli, Kenneth D. Miller, Nicholas J. Priebe, & Máté Lengyel. (2024). Response sub-additivity and variability quenching in visual cortex. Nature reviews. Neuroscience. 25(4). 237–252. 6 indexed citations
2.
Sanzeni, Alessandro, Agostina Palmigiano, Jonathan J. Nassi, et al.. (2023). Mechanisms underlying reshuffling of visual responses by optogenetic stimulation in mice and monkeys. Neuron. 111(24). 4102–4115.e9. 9 indexed citations
3.
Bittner, Sean R., Agostina Palmigiano, Alex T. Piet, et al.. (2021). Interrogating theoretical models of neural computation with emergent property inference. eLife. 10. 11 indexed citations
4.
Liu, Liu D., Kenneth D. Miller, & Christopher C. Pack. (2017). A Unifying Motif for Spatial and Directional Surround Suppression. Journal of Neuroscience. 38(4). 989–999. 22 indexed citations
5.
Miller, Kenneth D., et al.. (2016). Balanced Amplification: A New Mechanism of Selective Amplification of Neural Activity Patterns. Neuron. 89(1). 235–235.
6.
Kuchibhotla, Kishore V., Jonathan V. Gill, Grace W. Lindsay, et al.. (2016). Parallel processing by cortical inhibition enables context-dependent behavior. Nature Neuroscience. 20(1). 62–71. 214 indexed citations
7.
Rubin, Daniel B., Stephen D. Van Hooser, & Kenneth D. Miller. (2015). The Stabilized Supralinear Network: A Unifying Circuit Motif Underlying Multi-Input Integration in Sensory Cortex. Neuron. 85(2). 402–417. 191 indexed citations
8.
Ahmadian, Yashar, et al.. (2015). Properties of networks with partially structured and partially random connectivity. Physical Review E. 91(1). 12820–12820. 51 indexed citations
9.
Toyoizumi, Taro, Megumi Kaneko, Michael P. Stryker, & Kenneth D. Miller. (2014). Modeling the Dynamic Interaction of Hebbian and Homeostatic Plasticity. Neuron. 84(2). 497–510. 82 indexed citations
10.
Miller, Kenneth D., et al.. (2009). Balanced Amplification: A New Mechanism of Selective Amplification of Neural Activity Patterns. Neuron. 61(4). 635–648. 229 indexed citations
11.
Ganguli, Surya, James W. Bisley, Jamie D. Roitman, et al.. (2008). One-Dimensional Dynamics of Attention and Decision Making in LIP. Neuron. 58(1). 15–25. 98 indexed citations
12.
Sharpee, Tatyana O., Hiroki Sugihara, А. V. Kurgansky, et al.. (2004). Probing feature selectivity of neurons in primary visual cortex with natural stimuli. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5467(5467). 212–212. 1 indexed citations
13.
Lauritzen, Thomas Z. & Kenneth D. Miller. (2003). Different Roles for Simple-Cell and Complex-Cell Inhibition in V1. Journal of Neuroscience. 23(32). 10201–10213. 64 indexed citations
14.
Miller, Kenneth D., et al.. (2002). Hidden Markov Model of Cortical Synaptic Plasticity: Derivation of the Learning Rule. Neural Information Processing Systems. 15. 253–260. 3 indexed citations
15.
Miller, Kenneth D., Ed Erwin, & Andrew S. Kayser. (1999). Is the development of orientation selectivity instructed by activity?. Journal of Neurobiology. 41(1). 44–57. 53 indexed citations
16.
Miller, Kenneth D., et al.. (1997). Development of spatiotemporal receptive fields of simple cells: I. Model formulation. Biological Cybernetics. 77(6). 453–461. 37 indexed citations
17.
Miller, Kenneth D.. (1996). Synaptic Economics: Competition and Cooperation in Synaptic Plasticity. Neuron. 17(3). 371–374. 224 indexed citations
18.
Miller, Kenneth D.. (1992). Development of orientation columns via competition between ON-and OFF-center inputs. Neuroreport. 3(1). 73–76. 59 indexed citations
19.
Stryker, Michael P., B. Chapman, Kenneth D. Miller, & Kathleen R. Zahs. (1990). Experimental and Theoretical Studies of the Organization of Afferents to Single Orientation Columns in Visual Cortex. Cold Spring Harbor Symposia on Quantitative Biology. 55(0). 515–527. 6 indexed citations
20.
Miller, Kenneth D., Joseph B. Keller, & Michael P. Stryker. (1989). Ocular Dominance Column Development: Analysis and Simulation. Science. 245(4918). 605–615. 450 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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