| A Neuromorphic Proto-Object Based Dynamic Visual Saliency Model With a Hybrid FPGA Implementation | 0 | 0.34 | 2021 |
| A Compact Free-Floating Device For Passive Charge-Balanced Neural Stimulation Using Pedot/Cnt Microelectrodes | 0 | 0.34 | 2020 |
| A Miniature Wireless Silicon-On-Insulator Image Sensor For Brain Fluorescence Imaging | 0 | 0.34 | 2020 |
| Detection and Confirmation of Multiple Human Targets Using Pixel-Wise Code Aperture Measurements | 2 | 0.39 | 2020 |
| The Microbead: A 0.009 Mm(3) Implantable Wireless Neural Stimulator | 0 | 0.34 | 2019 |
| The Microbead: A 0.009 mm 3 Implantable Wireless Neural Stimulator | 4 | 0.43 | 2019 |
| Target tracking and classification using compressive sensing camera for SWIR videos. | 3 | 0.44 | 2019 |
| Deep Learning-Based Target Tracking and Classification for Low Quality Videos Using Coded Aperture Cameras. | 2 | 0.41 | 2019 |
| Automatic detection of electrocardiographic arrhythmias by parallel continuous neural networks implemented in FPGA. | 2 | 0.37 | 2019 |
| An Analogue Neuromorphic Co-Processor That Utilizes Device Mismatch for Learning Applications. | 0 | 0.34 | 2018 |
| Large-Scale Neuromorphic Spiking Array Processors: A quest to mimic the brain. | 7 | 0.61 | 2018 |
| Computational stereo-vision model of proto-object based saliency in three-dimensional space. | 0 | 0.34 | 2018 |
| The Microbead: A Highly Miniaturized Wirelessly Powered Implantable Neural Stimulating System. | 3 | 0.38 | 2018 |
| The Challenges of Designing an Inductively Coupled Power Link for μm-sized On-Chip Coils | 0 | 0.34 | 2018 |
| Automated Tracking System for Identification of Tagged Mice for Automatic Social Behavior Analysis. | 0 | 0.34 | 2018 |
| Inference In Spiking Bayesian Neurons Using Stochastic Computation | 0 | 0.34 | 2017 |
| Real-Time Image Segmentation Using A Spiking Neuromorphic Processor | 1 | 0.35 | 2017 |
| Coil array design for maximizing wireless power transfer to sub-mm sized implantable devices. | 0 | 0.34 | 2017 |
| A CMOS Current Steering Neurostimulation Array With Integrated DAC Calibration and Charge Balancing. | 2 | 0.40 | 2017 |
| Novel integration and packaging concepts of highly miniaturized inductively powered neural implants | 0 | 0.34 | 2017 |
| A Model Based Approach For Realizing A Safe Wireless Biotelemetry System | 0 | 0.34 | 2017 |
| Spatiotemporal compressed sensing for video compression | 1 | 0.39 | 2017 |
| Communication Channel Analysis and Real Time Compressed Sensing for High Density Neural Recording Devices. | 3 | 0.44 | 2016 |
| A Fully Integrated Wireless Compressed Sensing Neural Signal Acquisition System for Chronic Recording and Brain Machine Interface. | 15 | 1.04 | 2016 |
| A Mixed-Signal VLSI System for Producing Temporally Adapting Intraspinal Microstimulation Patterns for Locomotion. | 1 | 0.37 | 2016 |
| A Bidirectional Neural Interface IC With Chopper Stabilized BioADC Array and Charge Balanced Stimulator. | 2 | 0.35 | 2016 |
| Bio-inspired system architecture for energy efficient, BIGDATA computing with application to wide area motion imagery | 1 | 0.36 | 2016 |
| Compressed sensing block-wise exposure control algorithm using optical flow estimation | 0 | 0.34 | 2015 |
| An Unsupervised Dictionary Learning Algorithm For Neural Recordings | 4 | 0.42 | 2015 |
| Live demonstration: Real-time implementation of a proto-object-based dynamic visual saliency model | 0 | 0.34 | 2015 |
| How is motion integrated into a proto-object based visual saliency model? | 3 | 0.80 | 2015 |
| CMOS implementation of pixel-wise coded exposure imaging for insect-based sensor node | 1 | 0.36 | 2015 |
| Dynamically reconfigurable silicon array of generalized integrate-and-fire neurons | 1 | 0.63 | 2015 |
| Live demonstration: A closed loop Compressive Sensing neural recording system | 0 | 0.34 | 2014 |
| Bioinspired Imaging: Discovery, Emulation, and Future Prospects [Scanning the Issue] | 0 | 0.34 | 2014 |
| Active echo: a new paradigm for ultrasound calibration. | 4 | 0.71 | 2014 |
| An efficient and compact compressed sensing microsystem for implantable neural recordings. | 2 | 0.37 | 2014 |
| Plenoptic cameras in real-time robotics | 15 | 0.89 | 2013 |
| Selecting a safe power level for an indoor implanted UWB wireless biotelemetry link | 3 | 0.47 | 2013 |
| Characterization of standard CMOS compatible photodiodes and pixels for Lab-on-Chip devices | 7 | 0.94 | 2013 |
| Proto-object based visual saliency model with a motion-sensitive channel | 2 | 0.62 | 2013 |
| A miniaturized platform for laser speckle contrast imaging. | 2 | 0.55 | 2012 |
| Real Time Compressive Sensing Video Reconstruction in Hardware. | 6 | 0.48 | 2012 |
| Parameter estimation of a spiking silicon neuron. | 3 | 0.37 | 2012 |
| An entropy based ideal observer model for visual saliency | 1 | 0.35 | 2012 |
| Perceptual organization, attention and object recognition: Closing the loop. | 0 | 0.34 | 2012 |
| Maximum likelihood parameter estimation of a spiking silicon neuron | 3 | 0.42 | 2011 |
| Towards a Cortical Prosthesis: Implementing A Spike-Based HMAX Model of Visual Object Recognition in Silico | 6 | 0.57 | 2011 |
| Silicon modeling of the Mihalaş-Niebur neuron. | 1 | 0.41 | 2011 |
| Optimization methods for spiking neurons and networks. | 7 | 0.54 | 2010 |
