In this paper, we show how reinforcement learning can be applied to real robots to achieve optimal robot behavior. As example, we enable an autonomous soccer robot to learn interce...
In this paper, we present analog VLSI implementation of a resonate-and-fire neuron (RFN) model, and then consider noise effects on its performance of signal detection. The RFN ci...
Kazuki Nakada, Jun Igarashi, A. Tetsuya, Hatsuo Ha...
This work focuses on the synthesis of finite-state machines (FSMs) by observing its input/output behaviors. Evolutionary approaches that have been proposed to solve this problem do...
This paper presents a new technique for automatically creating analog circuit models. The method extracts - from trained neural networks - piecewise linear models expressing the l...
This paper addresses the development of accurate and efficient behavioral models of digital integrated circuit input and output ports for EMC and signal integrity simulations. A ...
Igor S. Stievano, Flavio G. Canavero, Ivan A. Maio...