Search results
Results from the WOW.Com Content Network
A memristor (/ ˈ m ɛ m r ɪ s t ər /; a portmanteau of memory resistor) is a non-linear two-terminal electrical component relating electric charge and magnetic flux linkage.It was described and named in 1971 by Leon Chua, completing a theoretical quartet of fundamental electrical components which also comprises the resistor, capacitor and inductor.
Even for the simple memristor model, such a problem leads to nonlinearities strongly dependent on the circuit realizations. The CTDV equation is a model for the evolution of networks of arbitrary circuits composed of devices such as in eqn. (1), with the inclusion of a decay parameter controlling the volatility.
Recently, based on a neuromimetic approach, a novel ingredient has been added to the field of quantum machine learning, in the form of a so-called quantum memristor, a quantized model of the standard classical memristor. [116]
Stan Williams of HP Labs also argued that ReRAM was a memristor. [21] However, others challenged this terminology and the applicability of memristor theory to any physically realizable device is open to question. [22] [23] [24] Whether redox-based resistively switching elements (ReRAM) are covered by the current memristor theory is disputed. [25]
While the memristor is defined in terms of a two-terminal circuit element, there was an implementation of a three-terminal device called a memistor developed by Bernard Widrow in 1960. Memistors formed basic components of a neural network architecture called ADALINE developed by Widrow. [1] [2] The memistor was also used in MADALINE.
A physical neural network is a type of artificial neural network in which an electrically adjustable material is used to emulate the function of a neural synapse or a higher-order (dendritic) neuron model. [1] "Physical" neural network is used to emphasize the reliance on physical hardware used to emulate neurons as opposed to software-based ...
Only nine types of element (memristor not included), five passive and four active, are required to model any electrical component or circuit. [2]Each element is defined by a relation between the state variables of the network: current, ; voltage, ; charge, ; and magnetic flux, .
A few years after HP’s re-discovery of the Memristor, [34] the newly appointed CTO of HP, Martin Fink, created a HP Labs project to build a computer system based on memristor to tackle the slowing of Moore's law. He announced the project at HP’s Discover event in the summer of 2014. [35]