Peter E. Latham

14.6k total citations · 3 hit papers
70 papers, 8.1k citations indexed

About

Peter E. Latham is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Peter E. Latham has authored 70 papers receiving a total of 8.1k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Cognitive Neuroscience, 24 papers in Cellular and Molecular Neuroscience and 20 papers in Artificial Intelligence. Recurrent topics in Peter E. Latham's work include Neural dynamics and brain function (47 papers), Neural Networks and Applications (16 papers) and Advanced Memory and Neural Computing (12 papers). Peter E. Latham is often cited by papers focused on Neural dynamics and brain function (47 papers), Neural Networks and Applications (16 papers) and Advanced Memory and Neural Computing (12 papers). Peter E. Latham collaborates with scholars based in United Kingdom, United States and Switzerland. Peter E. Latham's co-authors include Alexandre Pouget, Jeffrey M. Beck, Wei Ji, Bruno B. Averbeck, Sheila Nirenberg, Sophie Denève, Bahador Bahrami, C. R. Gallistel, Barry J. Richmond and Yasser Roudi and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Peter E. Latham

68 papers receiving 7.9k 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.

Neural correlations, population coding and computation

2006 1.1k citations Peter E. Latham, Alexandre Pouget et al. profile →
Bayesian inference with probabilistic population codes

2006 982 citations Wei Ji, Jeffrey M. Beck et al. Nature Neuroscience profile →
Optimally Interacting Minds

2010 440 citations Bahador Bahrami, Peter E. Latham et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Peter E. Latham United Kingdom	39	6.7k	2.5k	1.1k	935	925	70	8.1k
Rodrigo Quian Quiroga United Kingdom	53	9.7k 1.4×	4.0k 1.6×	912 0.8×	644 0.7×	1.1k 1.2×	133	11.8k
Stefano Panzeri Italy	63	10.6k 1.6×	5.3k 2.2×	1.1k 0.9×	1.1k 1.2×	1.3k 1.5×	218	12.7k
Alessandro Treves Italy	45	8.8k 1.3×	5.3k 2.1×	1.2k 1.1×	574 0.6×	756 0.8×	143	10.0k
Alexandre Pouget United States	53	11.3k 1.7×	2.5k 1.0×	1.4k 1.3×	593 0.6×	833 0.9×	108	13.4k
Pieter R. Roelfsema Netherlands	56	12.1k 1.8×	3.2k 1.3×	449 0.4×	368 0.4×	673 0.7×	186	13.7k
Barry J. Richmond United States	47	6.9k 1.0×	3.0k 1.2×	586 0.5×	385 0.4×	346 0.4×	133	8.7k
Ranulfo Romo Mexico	57	10.7k 1.6×	4.1k 1.7×	630 0.6×	403 0.4×	646 0.7×	154	12.8k
Stefano Fusi United States	41	5.8k 0.9×	2.9k 1.2×	1.1k 1.0×	458 0.5×	2.2k 2.3×	126	7.4k
Hugh R. Wilson Canada	57	11.8k 1.8×	1.9k 0.8×	588 0.5×	958 1.0×	525 0.6×	183	13.7k
Frédéric E. Theunissen United States	41	4.5k 0.7×	1.2k 0.5×	645 0.6×	362 0.4×	371 0.4×	77	6.9k

Countries citing papers authored by Peter E. Latham

Since Specialization

Citations

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

Fields of papers citing papers by Peter E. Latham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter E. Latham. 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 Peter E. Latham. The network helps show where Peter E. Latham may publish in the future.

Co-authorship network of co-authors of Peter E. Latham

This figure shows the co-authorship network connecting the top 25 collaborators of Peter E. Latham. A scholar is included among the top collaborators of Peter E. Latham 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 Peter E. Latham. Peter E. Latham 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

Hiratani, Naoki & Peter E. Latham. (2022). Developmental and evolutionary constraints on olfactory circuit selection. Proceedings of the National Academy of Sciences. 119(11). e2100600119–e2100600119. 5 indexed citations

Tootoonian, Sina, Andreas T. Schaefer, & Peter E. Latham. (2022). Sparse connectivity for MAP inference in linear models using sister mitral cells. PLoS Computational Biology. 18(1). e1009808–e1009808.

Aitchison, Laurence, et al.. (2021). Synaptic plasticity as Bayesian inference. Nature Neuroscience. 24(4). 565–571. 50 indexed citations

Latham, Peter E., et al.. (2020). Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks. UCL Discovery (University College London). 33. 7296–7307.

Navajas, Joaquín, et al.. (2017). The idiosyncratic nature of confidence. Nature Human Behaviour. 1(11). 810–818. 63 indexed citations

Aitchison, Laurence, et al.. (2016). Zipf’s Law Arises Naturally When There Are Underlying, Unobserved Variables. PLoS Computational Biology. 12(12). e1005110–e1005110. 49 indexed citations

Aitchison, Laurence, et al.. (2014). Probabilistic Synapses. arXiv (Cornell University). 3 indexed citations

Grabska‐Barwińska, Agnieszka, Jeffrey Beck, Alexandre Pouget, & Peter E. Latham. (2013). Demixing odors - fast inference in olfaction. Archive ouverte UNIGE (University of Geneva). 26. 1968–1976. 8 indexed citations

Pouget, Alexandre, Jeffrey M. Beck, Wei Ji, & Peter E. Latham. (2013). Probabilistic brains: knowns and unknowns. Nature Neuroscience. 16(9). 1170–1178. 375 indexed citations

10.

Beck, Jeffrey M., et al.. (2012). Not Noisy, Just Wrong: The Role of Suboptimal Inference in Behavioral Variability. Neuron. 74(1). 30–39. 192 indexed citations

11.

Macke, Jakob H., Iain Murray, & Peter E. Latham. (2011). How biased are maximum entropy models. Max Planck Digital Library. 24. 2034–2042. 4 indexed citations

12.

Jacobs, Adam, Robert M. Douglas, N. M. Alam, et al.. (2009). Ruling out and ruling in neural codes. Proceedings of the National Academy of Sciences. 106(14). 5936–5941. 128 indexed citations

13.

Beck, Jeffrey M., Wei Ji, Roozbeh Kiani, et al.. (2008). Probabilistic Population Codes for Bayesian Decision Making. Neuron. 60(6). 1142–1152. 441 indexed citations

14.

Pillow, Jonathan W. & Peter E. Latham. (2007). Neural characterization in partially observed populations of spiking neurons. UCL Discovery (University College London). 20. 1161–1168. 21 indexed citations

15.

Latham, Peter E. & Sheila Nirenberg. (2005). Synergy, Redundancy, and Independence in Population Codes, Revisited. Journal of Neuroscience. 25(21). 5195–5206. 152 indexed citations

16.

Nirenberg, Sheila, et al.. (2001). Retinal ganglion cells act largely as independent encoders. Nature. 411(6838). 698–701. 223 indexed citations

17.

Denève, Sophie, Peter E. Latham, & Alexandre Pouget. (2001). Efficient computation and cue integration with noisy population codes. Nature Neuroscience. 4(8). 826–831. 243 indexed citations

18.

Denève, Sophie, Alexandre Pouget, & Peter E. Latham. (1998). Divisive Normalization, Line Attractor Networks and Ideal Observers. Neural Information Processing Systems. 11. 104–110. 8 indexed citations

19.

Nirenberg, Sheila & Peter E. Latham. (1998). Population coding in the retina. Current Opinion in Neurobiology. 8(4). 488–493. 29 indexed citations

20.

Latham, Peter E., et al.. (1994). When “Make or Buy“ Means “Make or Break”. Bio/Technology. 12(5). 473–477. 2 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.

Explore authors with similar magnitude of impact