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Takeshi Mita
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Proceedings Papers
. alife2018, ALIFE 2018: The 2018 Conference on Artificial Life163-170, (July 23–27, 2018) 10.1162/isal_a_00037
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Our previous study showed that embodied cultured neural networks and spiking neural networks with spike-timing dependent plasticity (STDP) can learn a behavior as they avoid stimulation from outside. In a sense, the embodied neural network can autonomously change their activity to avoid external stimuli. In this paper, as a result of our experiments using cultured neurons, we find that there is also a second property allowing the network to avoid stimulation: if the network cannot learn to avoid the external stimuli, it tends to decrease the stimulus-evoked spikes as if to ignore the input neurons. We also show such a behavior is reproduced by spiking neural networks with asymmetric-STDP. We consider that these properties can be regarded as autonomous regulation of self and non-self for the network.
Proceedings Papers
. ecal2015, ECAL 2015: the 13th European Conference on Artificial Life373-380, (July 20–24, 2015) 10.1162/978-0-262-33027-5-ch067
Proceedings Papers
. alife2014, ALIFE 14: The Fourteenth International Conference on the Synthesis and Simulation of Living Systems769-770, (July 30–August 2, 2014) 10.1162/978-0-262-32621-6-ch124
Proceedings Papers
. ecal2013, ECAL 2013: The Twelfth European Conference on Artificial Life1075-1082, (September 2–6, 2013) 10.1162/978-0-262-31709-2-ch161