Author

Darjan Salaj

Graz University of TechnologyORCID 0000-0001-9183-5852Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Approach:deep learning· 1 Organism:human· 1

Frequent Co-Authors

Anand SubramoneyiD· 2 shared Guillaume BelleciD· 2 shared Robert A. LegensteiniD· 2 shared Wolfgang MaassiD· 2 shared Ceca KraišnikovićiD· 1 shared Elias Hajek· 1 shared Franz ScherriD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 19 mutual co-author links

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2 shared papersNeuroscience

Anand SubramoneyORCID

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2 papers

Recent·Most cited

NeuroscienceeLifePeer-reviewedJul 26, 2021

Spike frequency adaptation supports network computations on temporally dispersed information

Darjan Salaj, Anand Subramoney, Ceca Kraišniković…·Wolfgang Maass

The paper shows spike frequency adaptation improves spiking neural network performance on temporally dispersed tasks, reaching human brain levels.

80 citationstop 2%

humanstatistical model

𝕏 PostBluesky

NeuroscienceNature CommunicationsPeer-reviewedJul 17, 2020

A solution to the learning dilemma for recurrent networks of spiking neurons

Guillaume Bellec, Franz Scherr, Anand Subramoney…·Wolfgang Maass

This paper introduces a new learning method for spiking neural networks that enables biologically plausible online learning through gradient descent, achieving performance comparable to BPTT.

514 citationstop 1%

deep learningstatistical model

𝕏 PostBluesky