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Integration of Leaky-Integrate-and-Fire-Neurons in Deep Learning
  Architectures
v1v2 (latest)

Integration of Leaky-Integrate-and-Fire-Neurons in Deep Learning Architectures

Neural Computation (Neural Comput.), 2020
28 April 2020
Richard C. Gerum
A. Schilling
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Integration of Leaky-Integrate-and-Fire-Neurons in Deep Learning Architectures"

4 / 4 papers shown
Evaluation of Bio-Inspired Models under Different Learning Settings For Energy Efficiency in Network Traffic Prediction
Evaluation of Bio-Inspired Models under Different Learning Settings For Energy Efficiency in Network Traffic PredictionInternational Journal of Neural Systems (IJNS), 2024
Theodoros Tsiolakis
Nikolaos Pavlidis
V. Perifanis
P. Efraimidis
473
0
0
23 Dec 2024
Word class representations spontaneously emerge in a deep neural network
  trained on next word prediction
Word class representations spontaneously emerge in a deep neural network trained on next word predictionInternational Conference on Machine Learning and Applications (ICMLA), 2023
K. Surendra
A. Schilling
Paul Stoewer
Andreas K. Maier
P. Krauss
NAI
243
11
0
15 Feb 2023
Neural Network based Formation of Cognitive Maps of Semantic Spaces and
  the Emergence of Abstract Concepts
Neural Network based Formation of Cognitive Maps of Semantic Spaces and the Emergence of Abstract ConceptsScientific Reports (Sci Rep), 2022
Paul Stoewer
A. Schilling
Andreas K. Maier
P. Krauss
265
18
0
28 Oct 2022
Neural Network based Successor Representations of Space and Language
Neural Network based Successor Representations of Space and LanguageScientific Reports (Sci Rep), 2022
Paul Stoewer
Christian Schlieker
A. Schilling
C. Metzner
Andreas K. Maier
P. Krauss
205
21
0
22 Feb 2022
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