Lana Sinapayen

The University of Tokyo, National Institute for Basic Biology, Honda (Japan)

Papers

4

Total Citations

58

H-Index

4

About

No biography available yet.

Research Focus

Computer science4 · 58 citations
Artificial intelligence4 · 58 citations
Neuroscience2 · 42 citations
Machine learning2 · 36 citations
Artificial neural network1 · 27 citations
Hebbian theory1 · 27 citations
Spiking neural network1 · 27 citations
Learning rule1 · 27 citations
Biology1 · 27 citations
Competitive learning1 · 27 citations
Reinforcement learning1 · 27 citations
Robot2 · 22 citations

Key Achievements

4
H-Index
4
Papers
58
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Learning by stimulation avoidance: A principle to control spiking neural networks dynamics
27 citations · 2017
📈 Most Prolific Year: 2015 (2 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: The University of Tokyo, National Institute for Basic Biology, Honda (Japan)

Top Papers

  1. 1
    Learning by stimulation avoidance: A principle to control spiking neural networks dynamics
    27 citations · 2017
  2. 2
    Emergence of Sense-Making Behavior by the Stimulus Avoidance Principle: Experiments on a Robot Behavior Controlled by Cultured Neuronal Cells
    15 citations · 2015
  3. 3
    <scp>Hybrid Life</scp>: Integrating biological, artificial, and cognitive systems
    9 citations · 2023
  4. 4
    Interactive sound source localization using robot audition for tablet devices
    7 citations · 2015

Key Collaborators

AMAtsushi Masumori2 shared papersKSKeisuke Suzuki1 shared papersKNKeisuke Nakamura1 shared papersDJDouglas J. Bakkum1 shared papersKNKazuhiro Nakadai1 shared papersHTHirokazu Takahashi1 shared papersTITakashi Ikegami1 shared papersHIHiroyuki Iizuka1 shared papersMBManuel Baltieri1 shared papersUFUrs Frey1 shared papersTMTakeshi Mita1 shared papersTITakashi Ikegami1 shared papersNMNorihiro Maruyama1 shared papersOWOlaf Witkowski1 shared papers
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