Elisa Vianello

Learn More
In this work, we demonstrate an original methodology to use Conductive-Bridge RAM (CBRAM) devices as binary synapses in low-power stochastic neuromorphic systems. A new circuit architecture, programming strategy and probabilistic STDP learning rule are proposed. We show, for the first time, how the intrinsic CBRAM device switching probability at ultra-low(More)
In this paper, we present an alternative approach to neuromorphic systems based on multi-level resistive memory (RRAM) synapses and deterministic learning rules. We demonstrate an original methodology to use conductive-bridge RAM (CBRAM) devices as, easy to program and low-power, binary synapses with stochastic learning rules. New circuit architecture,(More)
We present an original methodology to design hybrid neuron circuits (CMOS + non volatile resistive memory) with stochastic firing behaviour. In order to implement stochastic firing, we exploit unavoidable intrinsic variability occurring in emerging non-volatile resistive memory technologies. In particular, we use the variability on the ‘time-to-set’ (tset)(More)
This paper presents a robust OxRAM-based nonvolatile flip-flop (NVFF) solution, designed for deep nano-scaled CMOS technologies. Forming, set and reset operations rely on a reliable design approach using thin gate oxide CMOS. The NVFF is benchmarked against a standard FF in 28nm CMOS FDSOI. Non-volatility is added with minimal impact on the FF performances.
We show experimentally that the first reset operation of forming-free HfOx based RRAM devices is of bulk type where the reset current is area dependent. Moreover, the device pristine resistance shows a weak inverse proportionality to temperature, which we associate to a sub-stoichiometric HfOx matrix created during device fabrication. Finally, we use ab(More)
At most advanced technology nodes, Field Programmable Gate Arrays (FPGA) present great advantages compared to more conventional processor architectures; their natural regularity, modularity and inherent reliability due to duplicated identical tiles provide a solution to overcome new technologies with increasing variability. However, FPGA market is still(More)
Recent announcement of 16Gbits Resistive memory from Sony shows the trend to quickly adopt resistive memories as an alternative to DRAM. However, using ReRAM for embedded computing is still a futuristic goal. This paper approaches two applications based on ReRAM-devices for gaining area, performance or power consumption. The first application is FPGA, one(More)