3 research outputs found
Bioinspired sensory integration for environment-perception embedded systems
In this work, the architecture of a system intended for bioinspired environment perception is described.
Considering the technology trends and applications requirements, the properties of such a system are
discussed. The system consists of four main blocks: a) A set of different integrated microsensors and
microactuators with the associated signal conditioning circuits; b) A data encoding block that in its simplest
form performs spike encoding of information; c) a bioinspired digital processing block that efficiently
emulates a spiking neuron network; d) a monitoring and self-adaptation block that provides feedback to the
sensors and actuators. In its final implementation, the full system would eventually be almost fully
integrated in a CMOS integrated circuit
Bioinspired sensory integration for environment-perception embedded systems
In this work, the architecture of a system intended for bioinspired environment perception is described.
Considering the technology trends and applications requirements, the properties of such a system are
discussed. The system consists of four main blocks: a) A set of different integrated microsensors and
microactuators with the associated signal conditioning circuits; b) A data encoding block that in its simplest
form performs spike encoding of information; c) a bioinspired digital processing block that efficiently
emulates a spiking neuron network; d) a monitoring and self-adaptation block that provides feedback to the
sensors and actuators. In its final implementation, the full system would eventually be almost fully
integrated in a CMOS integrated circuit.Postprint (published version
Bioinspired sensory integration for environment-perception embedded systems
In this work, the architecture of a system intended for bioinspired environment perception is described.
Considering the technology trends and applications requirements, the properties of such a system are
discussed. The system consists of four main blocks: a) A set of different integrated microsensors and
microactuators with the associated signal conditioning circuits; b) A data encoding block that in its simplest
form performs spike encoding of information; c) a bioinspired digital processing block that efficiently
emulates a spiking neuron network; d) a monitoring and self-adaptation block that provides feedback to the
sensors and actuators. In its final implementation, the full system would eventually be almost fully
integrated in a CMOS integrated circuit