2,604 research outputs found
Digital implementation of the cellular sensor-computers
Two different kinds of cellular sensor-processor architectures are used nowadays in various
applications. The first is the traditional sensor-processor architecture, where the sensor and the
processor arrays are mapped into each other. The second is the foveal architecture, in which a
small active fovea is navigating in a large sensor array. This second architecture is introduced
and compared here. Both of these architectures can be implemented with analog and digital
processor arrays. The efficiency of the different implementation types, depending on the used
CMOS technology, is analyzed. It turned out, that the finer the technology is, the better to use
digital implementation rather than analog
Pixel Detectors
Pixel detectors for precise particle tracking in high energy physics have
been developed to a level of maturity during the past decade. Three of the LHC
detectors will use vertex detectors close to the interaction point based on the
hybrid pixel technology which can be considered the state of the art in this
field of instrumentation. A development period of almost 10 years has resulted
in pixel detector modules which can stand the extreme rate and timing
requirements as well as the very harsh radiation environment at the LHC without
severe compromises in performance. From these developments a number of
different applications have spun off, most notably for biomedical imaging.
Beyond hybrid pixels, a number of monolithic or semi-monolithic developments,
which do not require complicated hybridization but come as single sensor/IC
entities, have appeared and are currently developed to greater maturity. Most
advanced in terms of maturity are so called CMOS active pixels and DEPFET
pixels. The present state in the construction of the hybrid pixel detectors for
the LHC experiments together with some hybrid pixel detector spin-off is
reviewed. In addition, new developments in monolithic or semi-monolithic pixel
devices are summarized.Comment: 14 pages, 38 drawings/photographs in 21 figure
Antenna-coupled TES bolometers used in BICEP2, Keck array, and SPIDER
We have developed antenna-coupled transition-edge sensor (TES) bolometers for
a wide range of cosmic microwave background (CMB) polarimetry experiments,
including BICEP2, Keck Array, and the balloon borne SPIDER. These detectors
have reached maturity and this paper reports on their design principles,
overall performance, and key challenges associated with design and production.
Our detector arrays repeatedly produce spectral bands with 20%-30% bandwidth at
95, 150, or 220~GHz. The integrated antenna arrays synthesize symmetric
co-aligned beams with controlled side-lobe levels. Cross-polarized response on
boresight is typically ~0.5%, consistent with cross-talk in our multiplexed
readout system. End-to-end optical efficiencies in our cameras are routinely
35% or higher, with per detector sensitivities of NET~300 uKrts. Thanks to the
scalability of this design, we have deployed 2560 detectors as 1280 matched
pairs in Keck Array with a combined instantaneous sensitivity of ~9 uKrts, as
measured directly from CMB maps in the 2013 season. Similar arrays have
recently flown in the SPIDER instrument, and development of this technology is
ongoing.Comment: 16 pgs, 20 fig
Engineering study for a mass memory system for advanced spacecrafts Final report, 1 Dec. 1969 - 1 Jul. 1970
Mass memory system for advanced spacecraf
CMOS active pixel sensor type imaging system on a chip
A single chip camera which includes an .[.intergrated.]. .Iadd.integrated .Iaddend.image acquisition portion and control portion and which has double sampling/noise reduction capabilities thereon. Part of the .[.intergrated.]. .Iadd.integrated .Iaddend.structure reduces the noise that is picked up during imaging
Programmable Superconducting Optoelectronic Single-Photon Synapses with Integrated Multi-State Memory
The co-location of memory and processing is a core principle of neuromorphic
computing. A local memory device for synaptic weight storage has long been
recognized as an enabling element for large-scale, high-performance
neuromorphic hardware. In this work, we demonstrate programmable
superconducting synapses with integrated memories for use in superconducting
optoelectronic neural systems. Superconducting nanowire single-photon detectors
and Josephson junctions are combined into programmable synaptic circuits that
exhibit single-photon sensitivity, memory cells with more than 400 internal
states, leaky integration of input spike events, and 0.4 fJ programming
energies (including cooling power). These results are attractive for
implementing a variety of supervised and unsupervised learning algorithms and
lay the foundation for a new hardware platform optimized for large-scale
spiking network accelerators.Comment: 16 pages, 11 figure
Optogenetic Brain Interfaces
The brain is a large network of interconnected neurons where each cell functions as a nonlinear processing element. Unraveling the mysteries of information processing in the complex networks of the brain requires versatile neurostimulation and imaging techniques. Optogenetics is a new stimulation method which allows the activity of neurons to be modulated by light. For this purpose, the cell-types of interest are genetically targeted to produce light-sensitive proteins. Once these proteins are expressed, neural activity can be controlled by exposing the cells to light of appropriate wavelengths. Optogenetics provides a unique combination of features, including multimodal control over neural function and genetic targeting of specific cell-types. Together, these versatile features combine to a powerful experimental approach, suitable for the study of the circuitry of psychiatric and neurological disorders. The advent of optogenetics was followed by extensive research aimed to produce new lines of light-sensitive proteins and to develop new technologies: for example, to control the distribution of light inside the brain tissue or to combine optogenetics with other modalities including electrophysiology, electrocorticography, nonlinear microscopy, and functional magnetic resonance imaging. In this paper, the authors review some of the recent advances in the field of optogenetics and related technologies and provide their vision for the future of the field.United States. Defense Advanced Research Projects Agency (Space and Naval Warfare Systems Center, Pacific Grant/Contract No. N66001-12-C-4025)University of Wisconsin--Madison (Research growth initiative; grant 101X254)University of Wisconsin--Madison (Research growth initiative; grant 101X172)University of Wisconsin--Madison (Research growth initiative; grant 101X213)National Science Foundation (U.S.) (MRSEC DMR-0819762)National Science Foundation (U.S.) (NSF CAREER CBET-1253890)National Institutes of Health (U.S.) (NIH/NIBIB R00 Award (4R00EB008738)National Institutes of Health (U.S.) (NIH Directorâs New Innovator award (1-DP2-OD002989))Okawa Foundation (Research Grant Award)National Institutes of Health (U.S.) (NIH Directorâs New Innovator Award (1DP2OD007265))National Science Foundation (U.S.) (NSF CAREER Award (1056008)Alfred P. Sloan Foundation (Fellowship)Human Frontier Science Program (Strasbourg, France) (Grant No. 1351/12)Israeli Centers of Research Excellence (I-CORE grant, program 51/11)MINERVA Foundation (Germany
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