Neuromodulation in a learning robot: interactions between neural plasticity and behavior

By Olaf Sporns, William H. Alexander. 2003

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Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks (2017, methodology): “Such a modulation of signals, or gated learning (Abbott, 1990), allows for the regulation and learning of behaviors as shown in numerous computational models (Baxter et al., 1999; Suri et al., 2001; Birmingham, 2001; Alexander and Sporns, 2002; Doya, 2002; Fujii et al., 2002; Suri, 2002; Ziemke and ”
Short-term plasticity as cause–effect hypothesis testing in distal reward learning (2014, background): “The utility of modulatory dynamics in models of reward learning and behavior is also validated by closed-loop robotic neural controllers (Ziemke and Thieme, 2002; Sporns and Alexander, 2002; Alexander and Sporns, 2002; Sporns and Alexander, 2003; Soltoggio et al, 2008; Cox and Krichmar, 2009).”