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A dual operation mode bio-inspired vision sensor 一种双操作模式仿生视觉传感器
2013 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2013-12-12 DOI: 10.1109/BioCAS.2013.6679701
J. A. Leñero-Bardallo, P. Häfliger
{"title":"A dual operation mode bio-inspired vision sensor","authors":"J. A. Leñero-Bardallo, P. Häfliger","doi":"10.1109/BioCAS.2013.6679701","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679701","url":null,"abstract":"We present a bio-inspired frame-free vision sensor with two different operation modes: spatial contrast computation and intensity mode. Cross-pixel communication for contrast computation uses spike signals. Two read-out methods, Pulse Density Modulation (PDM) or Time-to-first spike (TFS), are available. Both use address event representation (AER) for off-chip communication. The user can toggle any time between different operation and read-out modes with two digital control signals that set automatically the bias settings. The sensor is aimed for applications where speed and low output data flow are preferred, i.g. surveillance and industrial processes, offering the possibility of providing detailed intensity images if necessary. The sensor does not need calibration.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126836439","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Energy-efficient high-voltage compliant implantable brain-machine interfaces 高能效高压兼容植入式脑机接口
2013 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2013-12-12 DOI: 10.1109/BioCAS.2013.6679644
Mohammed Hasanuzzaman, R. Raut, M. Sawan
{"title":"Energy-efficient high-voltage compliant implantable brain-machine interfaces","authors":"Mohammed Hasanuzzaman, R. Raut, M. Sawan","doi":"10.1109/BioCAS.2013.6679644","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679644","url":null,"abstract":"We present in this paper the architecture of an energy-efficient high-voltage compliant microstimulator and recording interface dedicated for intracortical visual prosthesis. The system consists of a capacitive-link based bidirectional transceiver, an inductive-link energy recovery unit, a flexible microstimulation module including a high-impedance microelectrode driver, and a recording interface based on an ultra-low power analog-to-digital converter. Two different technologies, IBM CMOS 0.13μm, and DALSA Teledyne 0.8μm 5V/20V CMOS/DMOS, are used to implement the device in 2 chips. The microelectrode driver is incorporated with an array of highly-configurable high-voltage switches, which are supplied with ±13 Volts. The measurement results show that the system delivers up to 180μA through emulated microelectrode-tissue interface impedance with an average value of 100kΩ. The measured static power consumption of the high-voltage chip is 0.735mW.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125327270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
New non invasive Doppler technology for carotid stenosis assessment 新的无创多普勒技术评估颈动脉狭窄
2013 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2013-12-12 DOI: 10.1109/BIOCAS.2013.6679685
D. Righi, G. Ciuti, W. Dorigo, L. Forzoni, S. D'Onofrio, P. Tortoli
{"title":"New non invasive Doppler technology for carotid stenosis assessment","authors":"D. Righi, G. Ciuti, W. Dorigo, L. Forzoni, S. D'Onofrio, P. Tortoli","doi":"10.1109/BIOCAS.2013.6679685","DOIUrl":"https://doi.org/10.1109/BIOCAS.2013.6679685","url":null,"abstract":"Multigate Quality Doppler Profiles (QDP) is a Fast Fourier Transform-based Doppler technology recently integrated in a commercial ultrasound scanner. QDP represents a novel analysis tool, which is able to simultaneously detect and show the velocity components, present in the blood flow of multiple vessels, without any frame rate reduction. The present work describes QDP application to the measurement of Internal Carotid Artery stenosis (i.e. vessel lumen reduction due to plaque formation). Measurements were performed in vitro on a Doppler Phantom and in vivo in comparison to Computed Tomography Angiography. The results confirmed QDP as a proper tool for the NASCET index measurement, more precise and robust than the traditional Ultrasound modalities used so far.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"41 5-6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132398765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Implementation of a neuromorphic vestibular sensor with analog VLSI neurons 具有模拟VLSI神经元的神经形态前庭传感器的实现
2013 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2013-12-12 DOI: 10.1109/BioCAS.2013.6679667
G. Passetti, Federico Corradi, Marco Raglianti, Davide Zambrano, C. Laschi, G. Indiveri
{"title":"Implementation of a neuromorphic vestibular sensor with analog VLSI neurons","authors":"G. Passetti, Federico Corradi, Marco Raglianti, Davide Zambrano, C. Laschi, G. Indiveri","doi":"10.1109/BioCAS.2013.6679667","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679667","url":null,"abstract":"This work aims at implementing an event driven neuromorphic vestibular sensor using a commercial Inertial Measurement Unit (IMU) and a custom analog VLSI neuromorphic chip. We investigate a model of the vestibular sensor that emulates the spiking responses of hair cells in the semicircular canals. We calibrate the neuromorphic chip to match the parameters of a neuroscientific computational model. Experimental results validating the hardware implementation and the calibration procedure are presented.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133992004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
A charge-balanced 4-wire interface for the interconnections of biomedical implants 用于生物医学植入物互连的电荷平衡4线接口
2013 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2013-12-12 DOI: 10.1109/BioCAS.2013.6679674
Jiawei Yang, S. Bai, N. Tran, Hosung Chun, O. Kavehei, Yuanyuan Yang, E. Skafidas, M. Halpern, D. Ng, V. Muktamath
{"title":"A charge-balanced 4-wire interface for the interconnections of biomedical implants","authors":"Jiawei Yang, S. Bai, N. Tran, Hosung Chun, O. Kavehei, Yuanyuan Yang, E. Skafidas, M. Halpern, D. Ng, V. Muktamath","doi":"10.1109/BioCAS.2013.6679674","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679674","url":null,"abstract":"This paper presents a charge-balanced 4-wire interface on medical platinum wires for biomedical implants. This interface was originally designed to deliver power and full duplex data between implanted units of a retinal prosthesis. Detailed circuits on both sides of the wire interface are depicted. The proposed method ensures the total electrical charge is balanced over time within the implant to avoid the risk of harmful irreversible electrochemical reactions. Experiments show that the data links using this 4-wire interface design has minimal Bit Error Rate (BER) and very low cost in terms of power and area consumptions. The forward data recovery consumes 300 μW at 600 kbps with an area of 15×200 μm2 in 65nm CMOS. The backward data encoding circuit requires an average current of a mere 3 μA at 100 kbps while its area is 15×140 μm2.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128420399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
A 32-channel neural recording system with a liquid-crystal polymer MEA 基于液晶聚合物MEA的32通道神经记录系统
2013 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2013-12-12 DOI: 10.1109/BioCAS.2013.6679628
Seung-In Na, Susie Kim, Taehoon Kim, Hyongmin Lee, Hyunjoong Lee, Suhwan Kim
{"title":"A 32-channel neural recording system with a liquid-crystal polymer MEA","authors":"Seung-In Na, Susie Kim, Taehoon Kim, Hyongmin Lee, Hyunjoong Lee, Suhwan Kim","doi":"10.1109/BioCAS.2013.6679628","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679628","url":null,"abstract":"Our integrated 32-channel recording system for in-vivo measurement of neural activity has 32 analog front-end (AFE) channels, a 32-to-1 time-division multiplexer, and a comparator-based cyclic ADC. Each channel has a low noise amplifier and a programmable-gain amplifier (PGA) with a tunable bandwidth. The mid-band gain of the low noise amplifier is 47 dB. The total gain of the analog front-end is adjustable from 54 dB to 67 dB, and its input-referred noise is 11.93 μVrms. The low noise amplifier consumes 7.2 μW per channel. The comparator-based cyclic ADC digitizes the signals at 20 kS/s per channel, with a signal to distortion and noise ratio (SNDR) of 48.23 dB, corresponding to an effective number of bits (ENOB) of 7.72. This system was implemented in 0.18 μm CMOS technology, the average power consumption of the system is 62.5 μW per channel. An in-vivo measurement of the electrical activity of the cerebral cortex has been demonstrated, using a flexible liquid-crystal polymer microelectrode array.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129299378","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Real-time motion estimation using spatiotemporal filtering in FPGA 基于FPGA的时空滤波实时运动估计
2013 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2013-12-12 DOI: 10.1109/BioCAS.2013.6679700
G. Orchard, N. Thakor, R. Etienne-Cummings
{"title":"Real-time motion estimation using spatiotemporal filtering in FPGA","authors":"G. Orchard, N. Thakor, R. Etienne-Cummings","doi":"10.1109/BioCAS.2013.6679700","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679700","url":null,"abstract":"Reliable visual motion estimation is typically regarded as a difficult problem. Noise sensitivity and computational requirements often prohibit effective real-time application on mobile platforms. Despite these difficulties, biological systems reliably estimate visual motion in real-time and heavily rely on it. Here we present an FPGA implementation of a biologically inspired spatiotemporal energy model for motion estimation. The model realises 720 motion sensitive units per pixel for video of resolution 128×128 pixels at 30FPS, thus providing a computational tool for further investigation of spatiotemporal energy models.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128565872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Hardware efficient, neuromorphic dendritically enhanced readout for liquid state machines 硬件效率，神经形态树突状增强读出液体状态机
2013 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2013-12-12 DOI: 10.1109/BioCAS.2013.6679699
Subhrajit Roy, A. Basu, Shaista Hussain
{"title":"Hardware efficient, neuromorphic dendritically enhanced readout for liquid state machines","authors":"Subhrajit Roy, A. Basu, Shaista Hussain","doi":"10.1109/BioCAS.2013.6679699","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679699","url":null,"abstract":"In this article, we describe a new neuro-inspired, hardware-friendly readout stage for the liquid state machine (LSM) that is suitable for on-sensor computing in resource constrained applications. Compared to the state of the art parallel perceptron readout (PPR), our readout architecture and learning algorithm can attain better performance with significantly less synaptic resources making it attractive for VLSI implementation. Inspired by the nonlinear properties of dendrites in biological neurons, our readout stage incorporates neurons having multiple dendrites with a lumped nonlinearity (two compartment model). The number of synaptic connections on each branch is significantly lower than the total number of connections from the liquid neurons and the learning algorithm tries to find the best `combination' of input connections on each branch to reduce the error. Hence, the learning involves network rewiring (NRW) of the readout network similar to structural plasticity observed in its biological counterparts. We show that even while using binary synapses, our method can achieve 2.4 - 3.3 times less error compared to PPR using same number of high resolution synapses. Conversely, PPR requires 40-60 times more synapses to attain error levels comparable to our method.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116019205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 13
FPGA design of a pulse encoder for optoelectronic neural stimulation and recording arrays 用于光电神经刺激和记录阵列的脉冲编码器的FPGA设计
2013 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2013-12-12 DOI: 10.1109/BIOCAS.2013.6679671
Musa Al Yaman, A. Ghani, A. Bystrov, P. Degenaar, P. Maaskant
{"title":"FPGA design of a pulse encoder for optoelectronic neural stimulation and recording arrays","authors":"Musa Al Yaman, A. Ghani, A. Bystrov, P. Degenaar, P. Maaskant","doi":"10.1109/BIOCAS.2013.6679671","DOIUrl":"https://doi.org/10.1109/BIOCAS.2013.6679671","url":null,"abstract":"This paper presents a new control methodology for high throughput optoelectronic/optogenetic prostheses. Optogenetic prostheses use a gene therapy method to photosensitize neurons, for which the most efficient stimulation is short pulses of just enough high intensity light. We have previously demonstrated that stimulation can be achieved with combined CMOS-Nitride micro-photonic systems. We have now explored operating schemes to provide accurate short pulses of high radiance light in an intensity modulation scheme for the purpose of retinal prosthesis. We have shown that by utilizing the sparse nature of retinal code, it is possible to have an adaptive system which minimizes information transfer compared to raster or purely asynchronous bit serial modes. We are thus being able to provide more dynamic and thus intensity accuracy. We have implemented our schemes on an FPGA to measure relative modes.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"340 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116127614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Electroporation system generating wide range square-wave pulses for biological applications 电穿孔系统产生宽范围的方波脉冲的生物应用
2013 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2013-12-12 DOI: 10.1109/BioCAS.2013.6679633
V. Stankevič, V. Novickij, S. Balevičius, N. Žurauskienė, A. Baskys, A. Dervinis, V. Bleizgys
{"title":"Electroporation system generating wide range square-wave pulses for biological applications","authors":"V. Stankevič, V. Novickij, S. Balevičius, N. Žurauskienė, A. Baskys, A. Dervinis, V. Bleizgys","doi":"10.1109/BioCAS.2013.6679633","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679633","url":null,"abstract":"The design of a wide range square-wave pulse electroporation system is presented. The system is able to generate pulses having voltage amplitudes up to 4000 V and currents up to 100 A. The quantity of accumulated energy is optimized by the use of the variable capacitor bank. The proposed device has an integrated graphic LCD and measurement modules for current pulse visualization, and does not require an external oscilloscope. The whole system was tested with suspension of human lymphoma cells of Jurkat line in RPMI medium under a variety of electroporation conditions.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117209990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
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