Lana Sinapayen
Lana Sinapayen
Associate researcher, Sony CSL
Adresse e-mail validée de csl.sony.co.jp - Page d'accueil
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A strategy for origins of life research
C Scharf, N Virgo, HJ Cleaves, M Aono, N Aubert-Kato, A Aydinoglu, ...
Astrobiology 15 (12), 1031-1042, 2015
432015
Learning by stimulation avoidance: A principle to control spiking neural networks dynamics
L Sinapayen, A Masumori, T Ikegami
PloS one 12 (2), e0170388, 2017
182017
Emergence of sense-making behavior by the Stimulus Avoidance Principle: Experiments on a robot behavior controlled by cultured neuronal cells
A Masumori, N Maruyama, L Sinapayen, T Mita, U Frey, D Bakkum, ...
Artificial Life Conference Proceedings 13, 373-380, 2015
92015
Learning by Stimulation Avoidance as a primary principle of spiking neural networks dynamics
L Sinapayen, A Masumori, N Virgo, T Ikegami
Artificial Life Conference Proceedings 13, 175-182, 2015
52015
Consensus-based sound source localization using a swarm of micro-quadrocopters
S Lana, K Takahashi, T Kinoshita
Proc. Robot. Soc. Japan, Tokyo, Japan, 1-4, 2015
52015
Learning by stimulation avoidance scales to large neural networks
A Masumori, L Sinapayen, T Ikegami
Artificial Life Conference Proceedings 14, 275-282, 2017
42017
Sound processing device, sound processing method, and sound processing program
K Nakadai, K Nakamura, L Sinapayen, M Imai
US Patent 9,664,772, 2017
42017
Interactive sound source localization using robot audition for tablet devices
K Nakamura, L Sinapayen, K Nakadai
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015
42015
Autonomous regulation of self and non-self by stimulation avoidance in embodied neural networks
A Masumori, L Sinapayen, N Maruyama, T Mita, D Bakkum, U Frey, ...
Artificial Life Conference Proceedings, 163-170, 2018
32018
Neural Autopoiesis: Organizing Self-Boundaries by Stimulus Avoidance in Biological and Artificial Neural Networks
A Masumori, L Sinapayen, N Maruyama, T Mita, D Bakkum, U Frey, ...
Artificial life 26 (1), 130-151, 2020
22020
Swarm of micro-quadrocopters for consensus-based sound source localization
L Sinapayen, K Nakamura, K Nakadai, H Takahashi, T Kinoshita
Advanced Robotics 31 (12), 624-633, 2017
22017
Reactive, Proactive, and Inductive Agents: An evolutionary path for biological and artificial spiking networks
L Sinapayen, A Masumori, T Ikegami
Frontiers in computational neuroscience 13, 88, 2020
12020
Predictive Coding as Stimulus Avoidance in Spiking Neural Networks
A Masumori, T Ikegami, L Sinapayen
2019 IEEE Symposium Series on Computational Intelligence (SSCI), 271-277, 2019
12019
Dnn architecture for high performance prediction on natural videos loses submodule’s ability to learn discrete-world dataset
L Sinapayen, A Noda
Artificial Life Conference Proceedings, 454-460, 2019
12019
Online fitting of computational cost to environmental complexity: Predictive coding with the ε-network
L Sinapayen, T Ikegami
Artificial Life Conference Proceedings 14, 380-387, 2017
12017
Acoustic processing device and acoustic processing method
K Nakamura, K Nakadai, T Kinoshita, H Takahashi, L Sinapayen
US Patent 9,720,068, 2017
12017
Multicopter localization using sound landmarks
L Sinapayen, K Nakamura, K Nakadai, H Takahashi, T Kinoshita
情報処理学会第 76 回全国大会 3, 8, 2014
12014
Perspective: Purposeful Failure in Artificial Life and Artificial Intelligence
L Sinapayen
arXiv preprint arXiv:2102.12076, 2021
2021
Motion illusions arise from light source ambiguity
L Sinapayen, E Watanabe
The Journal of Brief Ideas, http://doi.org/10.5281/zenodo.3709097, 2020
2020
Computational Mechanics and Epsilon Machine Reconstruction: A New Approach to Exoplanet Analysis and Biosignatures
S Bartlett, L Sinapayen, V Natraj, JH Jiang, YL Yung
2019 Astrobiology Science Conference, 2019
2019
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