Cellular Neural Networks and Analog VLSI by J. M. Cruz, L. O. Chua (auth.), Leon O. Chua, Glenn Gulak,

By J. M. Cruz, L. O. Chua (auth.), Leon O. Chua, Glenn Gulak, Edmund Pierzchala, Angel Rodríguez-Vázquez (eds.)

Cellular Neural Networks and Analog VLSI brings jointly in a single position vital contributions and updated learn ends up in this fast paced sector.
Cellular Neural Networks and Analog VLSI serves as a good reference, offering perception into the most hard examine concerns within the field.

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12 shows how a single large CNN layer can be split into several chips where local encoder/decoders are used to connect neighbour cells in different ICs while global encoder/decoders achieve the transmission of input/output signals. Both multiple chip architectures can be combined to perform complex analog processing tasks. maintaining parallelism and asynchrony in the whole network. 5. Concluding Remarks The paper summarizes three different VLSI approaches to cellular structures. First an analog CMOS implementation ofCNN with the following features: (a) Embedded photosensors for direct capturing of input images.

AndO ~ h+lyc ~ 2h. In terms of the above shifted currents. , 1--- ---4----1 f 3)CCD 10'_ _> • 3rd column Ill itial State Filial State I) Noise A=2 8=01=0 2) Replacing objects by th e smallest IIrf'CUm~~le)' co~ering o 0 them [I 6J. • -'--------'-----------1 1 '. -. , .. > .. , f_ Illitial State FilUzl State F. , LJl<----l ~ ~H_nr_~~---J 4th Fig. 3. Test results of various sequential programming step applications. 43 268 M. Anguita et at. n + L(h + lun)Bn- c + IOff n where Figure 4 shows schematically the proposed CMOS implementation of a CNN cell with the above state equation.

The accuracy specifications for the template weights describe the allowed random variation in the weight values that still guarantee a correct CNN operation. In order to obtain accuracy specifications the robustness of CNN templates for random static error must be investigated [7]: first the conditions for a correct operation of a single cell are derived; then the conditions for a correctly operating network are established and the accuracy specifications that guarantee a correct network operation with a given yield are calculated.

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