Search results for "neuromorphic systems"

showing 3 items of 3 documents

Multiplexing AER asynchronous channels over LVDS links with flow-control and clock-correction for scalable neuromorphic systems

2017

Paper presented at the 2017 IEEE International Symposium on Circuits and Systems (ISCAS), held in Baltimore, MD, USA, on 28-31 May 2017.

Flow control (data)Neuromorphic Systembusiness.industryComputer scienceVirtual Wiring020208 electrical & electronic engineeringScalable Neuromorphic SystemsScalable Neuromoriphic02 engineering and technologyAddress event representation (AER)Multiplexing020202 computer hardware & architectureHandshakingNeuromorphic engineeringTransmission (telecommunications)Asynchronous communicationEmbedded system0202 electrical engineering electronic engineering information engineeringbusinessField-programmable gate arrayAER (Address Event Representation)Computer hardwareNeuromorphic SystemsHardware_LOGICDESIGN
researchProduct

Memristors and nonequilibrium stochastic multistable systems

2022

The main aim of this special issue is to report the recent advances and new trends in memristors and nonequilibrium stochastic multistable systems, both theoretically and experimentally, within an interdisci-plinary context. In particular, memristors are multistable systems whose switching dynamics is a stochastic process, which can be controlled by internal and external noise sources, unveiling the constructive role of random fluctuations. Furthermore, the use of memristors as memory elements in neuromorphic systems with noise-assisted persistence of memory states, chaotic dynamics, metastable chaos and chaos synchronization, new stochastic nonlinear models, noise-induced phenomena such as…

Noise-enhanced stabilizationSettore FIS/02 - Fisica Teorica Modelli E Metodi MatematiciGeneral MathematicsApplied MathematicsConstructive role of noiseNeuromorphic systemsGeneral Physics and AstronomyStatistical and Nonlinear PhysicsMultistabilityMemristorSynchronizationMetastabilityChaosResistive switching
researchProduct

Less Data Same Information for Event-Based Sensors: A Bioinspired Filtering and Data Reduction Algorithm

2018

Sensors provide data which need to be processed after acquisition to remove noise and extract relevant information. When the sensor is a network node and acquired data are to be transmitted to other nodes (e.g., through Ethernet), the amount of generated data from multiple nodes can overload the communication channel. The reduction of generated data implies the possibility of lower hardware requirements and less power consumption for the hardware devices. This work proposes a filtering algorithm (LDSI&mdash

bioinspired event filteringComputer sciencedynamic vision sensor02 engineering and technologylcsh:Chemical technology01 natural sciencesBiochemistryArticleAnalytical ChemistryReduction (complexity)0202 electrical engineering electronic engineering information engineeringneuromorphic systemslcsh:TP1-1185Electrical and Electronic EngineeringEnginyeria DissenyInstrumentationEnginyeria elèctricaEvent (computing)Noise (signal processing)010401 analytical chemistryFilter (signal processing)Atomic and Molecular Physics and Optics0104 chemical sciencesevent data reductionFPGA implementationspike-basedLookup table020201 artificial intelligence & image processingevent-based sensorsAlgorithmData reductionSensors
researchProduct