27 citations · 33 across the 5 of their papers we have counts for
5 papers
Simulation of Gacs' Automaton
Atsushi Masumori, Lana Sinapayen, Takashi Ikegami
Peter Gacs proposed a one-dimensional cellular automaton capable of a robust self-reproduction. Because the automaton is exceptionally large and complicated, very few people have e…
Neural Autopoiesis: Organizing Self-Boundary by Stimulus Avoidance in Biological and Artificial Neural Networks
Atsushi Masumori, Lana Sinapayen, Norihiro Maruyama +5
Living organisms must actively maintain themselves in order to continue existing. Autopoiesis is a key concept in the study of living organisms, where the boundaries of the organis…
Predictive Coding as Stimulus Avoidance in Spiking Neural Networks
Atsushi Masumori, Lana Sinapayen, Takashi Ikegami
Predictive coding can be regarded as a function which reduces the error between an input signal and a top-down prediction. If reducing the error is equivalent to reducing the influ…
Reactive, Proactive, and Inductive Agents: An evolutionary path for biological and artificial spiking networks
Lana Sinapayen, Atsushi Masumori, Ikegami Takashi
Complex environments provide structured yet variable sensory inputs. To best exploit information from these environments, organisms must evolve the ability to anticipate consequenc…
Learning by Stimulation Avoidance: A Principle to Control Spiking Neural Networks Dynamics
Lana Sinapayen, Atsushi Masumori, Takashi Ikegami
Learning based on networks of real neurons, and by extension biologically inspired models of neural networks, has yet to find general learning rules leading to widespread applicati…