Johanni Brea

635 citations
19 papers · 235 indexed · h-index 9

Impact in

Papers in

Johanni Brea

17 papers receiving 228 citations

Peers

Johanni Brea
Comparison fields: 5 of 57
  • Cognitive Neuroscience 158
  • Cellular and Molecular Neuroscience 58
  • Artificial Intelligence 75
  • Electrical and Electronic Engineering 96
  • Developmental and Educational Psychology 13
Replace Madhura R. Joglekar with:
Madhura R. Joglekar United States
James C. Knight United Kingdom
Alireza Alemi United States
Dongsung Huh United States
Dimitrios A. Adamos Greece
Mikhail Katkov Israel
Alborz Rezazadeh Sereshkeh Canada
Beren Millidge United Kingdom
Aran Nayebi United States
Dominic Telaar Germany
Johanni Brea relative to Madhura R. Joglekar United States Madhura R. Joglekar's profile →
Citations per field
00.5×3.3×
Madhura R. Joglekar · 1×
Citations per year

Countries citing papers authored by Johanni Brea

Since Specialization
Citations

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

Fields of papers citing papers by Johanni Brea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 18 scholars most cited alongside Johanni Brea, 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 Johanni Brea Line = papers co-authored together Johanni Brea links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 20250
2 20241
3 202311
4 202311
5 202227
6 202210
7 20215
8 20215
9 20207
10
An Approximate Bayesian Approach to Surprise-Based Learning
20191
11 201957
12
Efficient Model-Based Deep Reinforcement Learning with Variational State Tabulation
20188
13
Decoupling Backpropagation using Constrained Optimization Methods
20186
14
Localized random projections challenge benchmarks for bio-plausible deep learning
20180
15 201624
16 201620
17 20164
18 201418
19
Sequence learning with hidden units in spiking neural networks
201120

About Johanni Brea

Johanni Brea is a scholar working on Cognitive Neuroscience, Developmental Biology, Statistical and Nonlinear Physics, Artificial Intelligence and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 235 indexed citations. Recurring topics across this work include Neural dynamics and brain function (12 papers), Advanced Memory and Neural Computing (5 papers), Memory and Neural Mechanisms (4 papers), Neural Networks and Reservoir Computing (2 papers), Gaussian Processes and Bayesian Inference (2 papers), Neural Networks and Applications (2 papers), Neural and Behavioral Psychology Studies (2 papers) and Sparse and Compressive Sensing Techniques (1 paper). The work is most often cited by research in Cognitive Neuroscience (158 citations), Cellular and Molecular Neuroscience (58 citations), Artificial Intelligence (75 citations), Electrical and Electronic Engineering (96 citations) and Developmental and Educational Psychology (13 citations). Johanni Brea has collaborated with scholars based in Switzerland, United Kingdom and United States. Frequent co-authors include Wulfram Gerstner, Bernd Illing, Walter Senn, Alireza Modirshanechi, Robert Urbanczik, Jean-Pascal Pfister, Nicola S. Clayton, Akhilesh Deepak Gotmare, Christopher Nemeth and Martin Jaggi. Their work appears in journals such as PLoS Computational Biology, Scientific Reports, Current Opinion in Behavioral Sciences, Nature Communications and NeuroImage.

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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