Henning Sprekeler

3.6k citations
56 papers · 1.9k indexed · h-index 23

Henning Sprekeler

50 papers receiving 1.8k citations

Peers

Henning Sprekeler
Comparison fields: 5 of 108
  • Cognitive Neuroscience 1.4k
  • Cellular and Molecular Neuroscience 905
  • Sensory Systems 62
  • Electrical and Electronic Engineering 632
  • Artificial Intelligence 292
Replace Taro Toyoizumi with:
Taro Toyoizumi Japan
Shaul Druckmann United States
Simon R. Schultz United Kingdom
Dan F. M. Goodman France
David K. Warland United States
Tim Gollisch Germany
Friedemann Zenke Switzerland
Daniel Soudry Israel
Matthew Fellows United States
Artur Luczak Canada
Henning Sprekeler relative to Taro Toyoizumi Japan Taro Toyoizumi's profile →
Citations per field
00.5×1.5×1.8×
Taro Toyoizumi · 1×
Citations per year

Countries citing papers authored by Henning Sprekeler

Since Specialization
Citations

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

Fields of papers citing papers by Henning Sprekeler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Henning Sprekeler. 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 Henning Sprekeler. The network helps show where Henning Sprekeler may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Henning Sprekeler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Henning Sprekeler Line = papers co-authored together Henning Sprekeler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20240
4 202310
5 202325
6 20232
7 202317
8 20230
9 202210
10 20215
11 201937
12 201887
13 201721
14
An extension of slow feature analysis for nonlinear blind source separation
201428
15 2013122
16 2011470
17 201124
18 201083
19
Code-specific policy gradient rules for spiking neurons
20095
20 200752

About Henning Sprekeler

Henning Sprekeler is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Signal Processing, having authored 56 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neural dynamics and brain function (40 papers), Neuroscience and Neuropharmacology Research (20 papers), Advanced Memory and Neural Computing (15 papers), Memory and Neural Mechanisms (10 papers), Photoreceptor and optogenetics research (8 papers), Visual perception and processing mechanisms (7 papers), Neuroscience and Neural Engineering (7 papers) and Blind Source Separation Techniques (5 papers). The work is most often cited by research in Cognitive Neuroscience (1.4k citations), Cellular and Molecular Neuroscience (905 citations) and Sensory Systems (62 citations). Henning Sprekeler has collaborated with scholars based in Germany, Switzerland and Canada. Frequent co-authors include Wulfram Gerstner, Tim P. Vogels, Friedemann Zenke, Claudia Clopath, Laurenz Wiskott, Nicolas Frémaux, Mathias Franzius, Richard Naud, Gustavo Deco and Loreen Hertäg. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Neuron.

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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