Smart time-pulse coding photoconverters as basic components 2D-array logic devices for advanced neural networks and optical computers

Krasilenko, Vladimir G.; Nikolsky, Alexander I.; Lazarev, Alexander A.; Michalnichenko, Nikolay N.

doi:10.1117/12.542990

Cited by 5 publications

(6 citation statements)

References 8 publications

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“…Continuous optical signals are converted in voltage (or current) time-pulse signals with the suggested optoelectronic pulse-width modulators 8 . The time-pulse coding photoconverter is realized on the base of comparators on CMOS current mirrors (Fig.…”

Section: Time-pulse Coding Photoconvertersmentioning

confidence: 99%

“…One of perspective directions of researches on creation of macrobase neural modules with intelligence and quasiuniversality, and which work on afore-mentioned new mathematical bases, is the use of conception of time-pulse coded signals and the offered approach to creation of different elements and structures for effective and highly productive 1D and 2D data processing 7,8,9 . Prospects of new optical and optoelectronic technologies 10,11,12 are limited to narrow special processors.…”

Section: Introductionmentioning

confidence: 99%

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Design of time-pulse coded optoelectronic neuronal elements for nonlinear transformation and integration

et al. 2008

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In the paper the actuality of neurophysiologically motivated neuron arrays with flexibly programmable functions and operations with possibility to select required accuracy and type of nonlinear transformation and learning are shown. We consider neurons design and simulation results of multichannel spatio-time algebraic accumulation -integration of optical signals. Advantages for nonlinear transformation and summation -integration are shown. The offered circuits are simple and can have intellectual properties such as learning and adaptation.The integrator-neuron is based on CMOS current mirrors and comparators. The performance: consumable power -100…500 µW, signal period-0.1…1ms, input optical signals power -0.2… 20 µW; time delays -less 1µs, the number of optical signals -2…10, integration time -10…100 of signal periods, accuracy or integration error -about 1%.Various modifications of the neuron-integrators with improved performance and for different applications are considered in the paper.

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Section: Time-pulse Coding Photoconvertersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design of time-pulse coded optoelectronic neuronal elements for nonlinear transformation and integration

et al. 2008

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“…The comparator was considered in our previous work 18 and has the following characteristics: realized on 1.5µm CMOS transistors; the input currents range -100nA...100µA; the supply voltage -3...15V; the relative error is less than 0.5%; the output voltage delay time lays in range of 10…100ns. The unit-positional code is established at the XOR outputs.…”

Section: Two-valued Logic Universal Logical Element Realizationmentioning

confidence: 99%

“…It consists of a group of elements ULE 1 -ULE n (Fig.1a), which implement The time diagram that explains the scalar-relation vector processor operation is shown in Fig.2. The base block of the scalar-relation vector processor is the universal logical element of two-valued logic (ULE TVL) that can be realized on the current mirrors comparators, offered by us in our previous work 18 . So in the next sections we consider a realization of the ULE TVL.…”

Section: Design Of the Scalar-relation Vector Processor Structurementioning

confidence: 99%

Design of optoelectronic scalar-relation vector processors with time-pulse coding

et al. 2005

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Fast and high-performance vector processors operating in neuro-fuzzy, multivalued, hybrid etc. logics, and structures which implement max/min production of convolution with phasification and dephasification are necessary for hardware decisions of many intelligent problems. We show results of design of such optoelectronic scalar-relation vector processors (SRVP) with time-pulse coding. We consider the concept of such SRVP build-up as base cells for homogeneous 1D and 2D computing mediums. The conception is founded on the use of advantages of time-pulse coding in hardware embodyings of multichannel devices of analog neurobiologic and time-pulse photoconverters. The two-stage structure of the SRVP mapping generalized mathematical model of quasiuniversal map of the relation between two vectors is designed on the basis of the mathematical base which includes the generalized operations of equivalence (nonequivalence), generalized operations of t-norm and s-norm of neuro-fuzzy logic. It is shown that the application of time-pulse coding allows to use quasiuniversal elements of two-valued logic as base blocks on both cascades of the processor. Four-input universal logical elements of two-valued logic (ULE TVL) with direct and complement outputs are used for vectors analog components processing by the first cascade of the SRVP. In a modified variant the ULE TVL have direct and inverse digital outputs for direct and complement time-pulse outputs and are supplied with additional optical signals conversion drivers. The ULE TVL of the second cascade has 2n or 4n inputs, where n -dimension of treated vectors. The circuits of the ULE TVL are considered on the basis of parallel analog-todigital converters and digital circuits implemented on CMOS transistors, have optical inputs and outputs, and have following characteristics: realized on 1.5µm technology CMOS transistors; the input currents range -100nA...100µA; the supply voltage -3...15V; the relative error is less than 0.5%; the output voltage delay lays in range of 10…100ns. We consider structural design and circuitry of the SRVP base blocks and show that all principal components can be implemented on the basis of optoelectronic photocurrent transformers on current mirrors comparators with twothreshold and multi-threshold discriminations.

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“…8 The PROTPCP structureThe block of photoconverters is executed on the basis of pulse-width photoconverters-modulators which are realized on currents mirrors10 . These PWM-PC can be realized with one or with two (with direct and complementary)…”

mentioning

confidence: 99%

Design and simulation of programmable relational optoelectronic time-pulse coded processors as base elements for sorting neural networks

Krasilenko¹,

Nikolsky

Lazarev

et al. 2010

SPIE Proceedings

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In the paper we show that the biologically motivated conception of time-pulse encoding usage gives a set of advantages (single methodological basis, universality, tuning simplicity, learning and programming et al) at creation and design of sensor systems with parallel input-output and processing for 2D structures hybrid and next generations neurofuzzy neurocomputers. We show design principles of programmable relational optoelectronic time-pulse encoded processors on the base of continuous logic, order logic and temporal waves processes. We consider a structure that execute analog signal extraction, analog and time-pulse coded variables sorting. We offer optoelectronic realization of such base relational order logic element, that consists of time-pulse coded photoconverters (pulse-width and pulse-phase modulators) with direct and complementary outputs, sorting network on logical elements and programmable commutation blocks. We make technical parameters estimations of devices and processors on such base elements by simulation and experimental research: optical input signals power 0.2 -20 uW, processing time 1 -10 us, supply voltage 1 -3 V, consumption power 10 -100 uW, extended functional possibilities, learning possibilities. We discuss some aspects of possible rules and principles of learning and programmable tuning on required function, relational operation and realization of hardware blocks for modifications of such processors. We show that it is possible to create sorting machines, neural networks and hybrid data-processing systems with untraditional numerical systems and pictures operands on the basis of such quasiuniversal hardware simple blocks with flexible programmable tuning.

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Smart time-pulse coding photoconverters as basic components 2D-array logic devices for advanced neural networks and optical computers

Cited by 5 publications

References 8 publications

Design of time-pulse coded optoelectronic neuronal elements for nonlinear transformation and integration

Design of time-pulse coded optoelectronic neuronal elements for nonlinear transformation and integration

Design of optoelectronic scalar-relation vector processors with time-pulse coding

Design and simulation of programmable relational optoelectronic time-pulse coded processors as base elements for sorting neural networks

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