Energy-efficient memcapacitor devices for neuromorphic computing

Data-intensive computing operations, such as training neural networks, are essential for applications in artificial intelligence but are energy intensive. One solution is to develop specialized hardware onto which neural networks can be directly mapped, and arrays of memristive devices can, for example, be trained to enable parallel multiply–accumulate operations. Here we show that memcapacitive devices that exploit the principle of charge shielding can offer a highly energy-efficient approach for implementing parallel multiply–accumulate operations. We fabricate a crossbar array of 156 microscale memcapacitor devices and use it to train a neural network that could distinguish the letters ‘M’, ‘P’ and ‘I’. Modelling these arrays suggests that this approach could offer an energy efficiency of 29,600 tera-operations per second per watt, while ensuring high precision (6–8 bits). Simulations also show that the devices could potentially be scaled down to a lateral size of around 45 nm

SOFTWARE AND HARDWARE IMPLEMENTATION OF THE NEUROMORPHIC LGN BASED IMAGE PROCESSING AND FEATURE EXTRACTION

The processing of the graphical data is popular methodology of obtaining important information. However, there is a major drawback: it typically requires large computational resources. The human brain is an excellent example of the efficient image processing hardware, due to the fact the biological visual system can allow to easily and quickly obtain the information of the world around, such as object identification and movement detection. In particular, there is one element of the biological visual system that has unique functionality in image processing, which is lateral geniculate nucleus (LGN). Ganglion cells, which are terminated in LGN, have high sensitivity to the image spatial intensity difference. This cell feature is used for pre-processing of the visual data before being modulated and relayed to the main processing module, visual cortex. As a result, the processing load on cortex is reduced, due to the pre-processing of the data. The aim of the project is to develop the algorithm for visual features extraction, such as edge detection, based on the structure and properties similar to the LGN, with a possibility of the hardware model implementation. Preliminary results show the edge detection property of the proposed method. Moreover, the measured performance is comparable to other popular edge detection techniques, even exceeding expectations to small extent in the noisy environment

Gated multi-cycle integration (GMCI) for focal plane array (FPA) applications

In this thesis, the model and the theory of gated multi-cycle integration (GMCI) were first developed specifically for focal plane array dealing with repetitive or modulated image. The operational modes of GMCI include gated integration (GI), phase sensitive integration (PSI), multi-point summation, multi-point subtraction, multi-sample averaging and some of their combinations. Thus, the analytic theory of GMCI somehow unifies the theories of gated integration, phase sensitive detection, multiple summation and average. PSI works with background and/or dark current subtraction. As a result, the storage well of a pixel is mainly used for signal integration even if there exists a strong background. Thus, the signal-to-noise ratio, the dynamic range, the sensitivity of the detection and the noise equivalent temperature are greatly improved. For a storage well of 106 electrons, the sensitivity of the FPA operated at PSI mode could be improved by 3 orders. In addition, the transmission windows of PSI peak at odd harmonics of the modulation frequency, and therefore, the detector\u27s IN and other low frequency noise can be attenuated. A switched capacitor integrator was designed and fabricated with HP-0.5gm CMOS processing to demonstrate the feasibility of GMCI. The primary experimental results showed that the minimum detectable signal could be 5 orders less than the background, which is impossible for the conventional readout methods employed by current staring FPAs. The fixed patterns associated with switching charge injection, feedthrough, offset voltage of operational amplifier were addressed and suppressed by taking the differentia of two sampled voltages that correspond to signal integrations with 180° phase difference while keeping the same fixed pattern. GMCI, operated at PSI with multiple averages, is expected to become a powerful method in dealing with repetitive weak image swamped by strong background

Biomedical solid state NMR : an ADRF cross polarization study of calcium phosphates and bone mineral

Thesis (Sc. D.)--Massachusetts Institute of Technology, Dept. of Nuclear Engineering, 1996.Includes bibliographical references (leaves 114-123).by Chandrasekhar Ramanathan.Sc.D

A Class-E Inductive Powering Link with Backward Data Communications for Implantable Sensor Systems

The design and implementation of a wireless power and data transfer system based on inductive coupling, having the potential to be used in numerous implantable bio-medical sensors and systems, is presented. The system consists of an external (primary) unit and an internal (secondary) unit. The external unit incorporates a high-efficiency switch-mode Class-E amplifier operating at ~200 kHz for driving the primary coil. The secondary unit consists of a parallel resonant coil followed by the power recovery circuitry. Means for backward data communication from the internal to the external unit over the same pair of coils has been realized using a simple FSK-based modulation scheme incorporated into the internal unit. FSK demodulation and associated filtering are integrated with the base inductive powering system. Prototype system test results indicate the inductive link efficiency can exceed 80% under optimum operating conditions with the overall power transfer efficiency of approximately 30%. The communication system is capable of transmitting up to 10kbps of data with the FSK carrier frequency (i.e., middle-frequency) being only 120kHz. The complete system functions reliably over an inter-coil distances exceeding 2.5cm with a 5V dc supply

Photonic Technology for Precision Metrology

Photonics has had a decisive influence on recent scientific and technological achievements. It includes aspects of photon generation and photon–matter interaction. Although it finds many applications in the whole optical range of the wavelengths, most solutions operate in the visible and infrared range. Since the invention of the laser, a source of highly coherent optical radiation, optical measurements have become the perfect tool for highly precise and accurate measurements. Such measurements have the additional advantages of requiring no contact and a fast rate suitable for in-process metrology. However, their extreme precision is ultimately limited by, e.g., the noise of both lasers and photodetectors. The Special Issue of the Applied Science is devoted to the cutting-edge uses of optical sources, detectors, and optoelectronics systems in numerous fields of science and technology (e.g., industry, environment, healthcare, telecommunication, security, and space). The aim is to provide detail on state-of-the-art photonic technology for precision metrology and identify future developmental directions. This issue focuses on metrology principles and measurement instrumentation in optical technology to solve challenging engineering problems

NASA Space Engineering Research Center Symposium on VLSI Design

The NASA Space Engineering Research Center (SERC) is proud to offer, at its second symposium on VLSI design, presentations by an outstanding set of individuals from national laboratories and the electronics industry. These featured speakers share insights into next generation advances that will serve as a basis for future VLSI design. Questions of reliability in the space environment along with new directions in CAD and design are addressed by the featured speakers

Analog Frontend Circuits for Avalanche Photodiodes

The aims of this work is to design low noise electronics for optical sensing and X‐ray spectroscopy using Sheffield‐grown Avalanche photodiodes(APD). A transimpedance amplifier(TIA) for a 2.0 μm LIDAR system is designed and tested as part of a project funded by ESA. Numerical analysis is provided for the TIA in addition to SPICE and experimental analysis. Characterisation of the TIA shows that a noise equivalent power of less than 100 fW/√Hz can be achieved with an optimised InAs APD. Preliminary results of a TIA‐InAs module at 2.0 μm is presented. A low noise charge sensitive preamplifier(CSP) with a novel local feedback is designed and characterised. The CSP shows a better noise performance than commercially available CSP such as the CoolFet 250. The CSP is also characterised for APD dark current of up 4 μA and the CSP is found to behave well for such relatively high dark current. Discrepancies between the SPICE model and measured characteristic of the CSP’s input JFET is presented and discussed. The first ever Aluminium Indium Phosphide (AlInP) APD X‐ray spectroscopy measurement is presented in this work. AlInP is the widest band material that can be grown latticematched on a GaAs substrate. Due to its wide bandgap, AlInP can offer reverse dark current of less than 2 pA at gain of 100 for a 200um device, making it desirable for room temperature operation. An energy resolution of 647 eV is obtained for AlInP APD coupled to the CSP and exposed to 55Fe X‐rays. Using the CSP presented in this work, previously reported GaAs/AlGaAs APD is characterised and compared with results obtained using a commercial CSP. A 21% improvement in X‐ray energy resolution is reported, despite degradation in the APD

Design, characterization and testing of a thin-film microelectrode array and signal conditioning microchip for high spatial resolution surface laplacian measurement.

Cardiac mapping has become an important area of research for understanding the mechanisms responsible for cardiac arrhythmias and the associated diseases. Current technologies for measuring electrical potentials on the surface of the heart are limited due to poor spatial resolution, localization issues, signal distortion due to noise, tissue damage, etc. Therefore, the purpose of this study is to design, develop, characterize and investigate a custom-made microfabricated, polyimide-based, flexible Thin-Film MicroElectrode Array (TFMEA) that is directly interfaced to an integrated Signal Conditioning Microchip (SCM) to record cardiac surface potentials on the cellular level to obtain high spatial resolution Surface Laplacian (SL) measurement. TFMEAs consisting of five fingers (Cover area = 4 mm2 and 16 mm2), which contained five individual microelectrodes placed in orthogonal directions (25-µm in diameter, 75-µm interelectrode spacing) to one another, were fabricated within a flexible polyimide substrate and capable of recording electrical activities of the heart on the order of individual cardiomyocytes. A custom designed SCM consisting of 25 channels of preamplification stages and second order band-pass filters was interfaced directly with the TFMEA in order to improve the signal-to-noise ratio (SNR) characteristics of the high spatial resolution recording data. Metrology characterization using surface profilometry and high resolution Scanning Electron Microscope (SEM) indicated the geometry of fabricated TFMEAs closely matched the design parameters \u3c 0.4%). The DC resistances of the 25 individual micro electrodes were consistent (1.050 ± 0.026 kO). The simulation and testing results of the SCM verified the pre-amplification and filter stages met the designed gain and frequency parameters within 2.96%. The functionality of the TFMEA-SCM system was further characterized on a TX 151 conductive gel. The characterization results revealed that the system functionality was sufficient for high spatial cardiac mapping. In vivo testing results clearly demonstrated feasibility of using the TFMEA-SCM system to obtain cellular level SL measurements with significantly improved the SNRs during normal sinus rhythm and Ventricular Fibrillation (VF). Local activation times were detected via evaluating the zero crossing of the SL electro grams, which coincided with the gold standard (dV/dt)min of unipolar electro grams within ± 1%. The in vivo transmembrane current densities calculated from the high spatial resolution SLs were found to be significantly higher than the transmembrane current densities computed using electrodes with higher interelectrode spacings. In conclusion, the custom-made TFMEASCM systems demonstrated feasibility as a tool for measuring cardiac potentials and to perform high resolution cardiac mapping experiments