Tang-Jung Chiu

Learn More
— Real-time recognition of multichannel, continuous-time physiological signals has been crucial for the development of implantable biomedical devices. This work investigates the feasibility of using the Diffusion Network, a stochastic recurrent neural network, to recognise continuous-time biomedical signals. In addition, a hardware-friendly approach for(More)
Biological neurons seem able to compute with noise reliably, or even to use noise to achieve probabilistic inference. This paper introduces two neuro-inspired algorithms and their implementation in the Very Large Scale Integration (VLSI). By generalising data variability with noise, the algorithms are able to classify noisy data more reliably. The VLSI(More)
  • 1