56 research outputs found

    Intrinsic Hardware Evolution on the Transistor Level

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    This thesis presents a novel approach to the automated synthesis of analog circuits. Evolutionary algorithms are used in conjunction with a fitness evaluation on a dedicated ASIC that serves as the analog substrate for the newly bred candidate solutions. The advantage of evaluating the candidate circuits directly in hardware is twofold. First, it may speed up the evolutionary algorithms, because hardware tests can usually be performed faster than simulations. Second, the evolved circuits are guaranteed to work on a real piece of silicon. The proposed approach is realized as a hardware evolution system consisting of an IBM compatible general purpose computer that hosts the evolutionary algorithm, an FPGA-based mixed signal test board, and the analog substrate. The latter one is designed as a Field Programmable Transistor Array (FPTA) whose programmable transistor cells can be almost freely connected. The transistor cells can be configured to adopt one out of 75 different channel geometries. The chip was produced in a 0.6µm CMOS process and provides ample means for the input and output of analog signals. The configuration is stored in SRAM cells embedded in the programmable transistor cells. The hardware evolution system is used for numerous evolution experiments targeted at a wide variety of different circuit functionalities. These comprise logic gates, Gaussian function circuits, D/A converters, low- and highpass filters, tone discriminators, and comparators. The experimental results are thoroughly analyzed and discussed with respect to related work

    Evolvable hardware platform for fault-tolerant reconfigurable sensor electronics

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    1997 Research Reports: NASA/ASEE Summer Faculty Fellowship Program

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    This document is a collection of technical reports on research conducted by the participants in the 1997 NASA/ASEE Summer Faculty Fellowship Program at the Kennedy Space Center (KSC). This was the 13th year that a NASA/ASEE program has been conducted at KSC. The 1997 program was administered by the University of Central Florida in cooperation with KSC. The program was operated under the auspices of the American Society for Engineering Education (ASEE) with sponsorship and funding from the Education Division, NASA Headquarters, Washington, D.C., and KSC. The KSC Program was one of nine such Aeronautics and Space Research Programs funded by NASA in 1997. The NASA/ASEE Program is intended to be a two-year program to allow in-depth research by the university faculty member. The editors of this document were responsible for selecting appropriately qualified faculty to address some of the many problems of current interest to NASA/KSC

    Songbirds, Grandmothers, Templates: A Neuroethological Approach

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    Songbirds such as the white-crowned sparrow memorize the song of conspecific adults during a critical period early in life, and later in life develop song by utilizing auditory feedback. Neurons in one of the telencephalic nuclei controlling song have recently been shown to respond to acoustic stimuli. I investigated the auditory response properties of units in this nucleus using a technique that permitted great flexibility in manipulating complex stimuli such as song. A few of the units exhibited considerable selectivity for the individual's own song. In wild-caught birds, song specific units exhibited intra-dialect selectivity. In those birds that sang abnormal songs due to laboratory manipulation of song exposure during the critical period for song learning, units were selective for the abnormal songs. By systematic modification of a song, and by construction of complex synthetic sounds mimicking song, the acoustic parameters responsible for the response selectivity were identified. Song specific units responded to sequences of two song parts, but not to the parts in isolation. Modification of the frequencies of either part of the sequence, or increasing the interval between the parts, varied the strength of the response. Thus, temporal as well as spectral parameters were important for the response. When sequences of synthetic sounds mimicking song were effective in evoking an excitatory response, the response was sensitive to the aforementioned manipulations. With these techniques it was possible to elucidate the acoustic parameters required to excite song specific units. All songs of the repertoire eliciting a strong excitatory response contained the appropriate parameters, which were missing from all weakly effective, ineffective, or inhibitory songs. These observations suggest that the ontogenetic modification of integrative neural mechanisms underlying song learning or song crystalization is reflected at the level of single neurons.</p
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