Pub Date : 2013-12-12DOI: 10.1109/BioCAS.2013.6679704
Shuang Song, M. Rooijakkers, P. Harpe, C. Rabotti, M. Mischi, A. Roermund, E. Cantatore
This paper presents a low-power low-noise amplifier for neural recording applications. A single-stage current-reuse telescopic topology is proposed to achieve high DC gain and improve the noise efficiency factor (NEF) while allowing the amplifier to be scaled for high bandwidth sensing applications and/or to achieve lower thermal noise floor. The design is fabricated in a standard 0.18μm CMOS process and occupies an active area of 0.16mm2. Experimental measurements show a 430nW power consumption from a 1.2V supply, a thermal noise floor of 63.8nV/√Hz and a corresponding NEF of 1.5.
{"title":"A 430nW 64nV/vHz current-reuse telescopic amplifier for neural recording applications","authors":"Shuang Song, M. Rooijakkers, P. Harpe, C. Rabotti, M. Mischi, A. Roermund, E. Cantatore","doi":"10.1109/BioCAS.2013.6679704","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679704","url":null,"abstract":"This paper presents a low-power low-noise amplifier for neural recording applications. A single-stage current-reuse telescopic topology is proposed to achieve high DC gain and improve the noise efficiency factor (NEF) while allowing the amplifier to be scaled for high bandwidth sensing applications and/or to achieve lower thermal noise floor. The design is fabricated in a standard 0.18μm CMOS process and occupies an active area of 0.16mm2. Experimental measurements show a 430nW power consumption from a 1.2V supply, a thermal noise floor of 63.8nV/√Hz and a corresponding NEF of 1.5.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"3 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":"114373949","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}
Pub Date : 2013-12-12DOI: 10.1109/BioCAS.2013.6679626
Hung-Yi Hsieh, K. Tang
This paper describes an analog probabilistic spiking neural network (PSNN) circuit for portable and implanted applications which especially require low power, small area and on-chip learning to ensure good mobility, body safety and continually accurate classification. The circuit is implemented using TSMC 0.18μm CMOS technology. Simulation results show that the circuit can learn linearly non-separable exclusive-or (xor) problem under 1V supply with only 3.8μW of power consumption. Long-term, multi-stage synaptic memory contains more information for a longer time in a single synapse. Comparison of the proposed PSNN with recent hardware neural networks is also provided.
{"title":"An on-chip learning, low-power probabilistic spiking neural network with long-term memory","authors":"Hung-Yi Hsieh, K. Tang","doi":"10.1109/BioCAS.2013.6679626","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679626","url":null,"abstract":"This paper describes an analog probabilistic spiking neural network (PSNN) circuit for portable and implanted applications which especially require low power, small area and on-chip learning to ensure good mobility, body safety and continually accurate classification. The circuit is implemented using TSMC 0.18μm CMOS technology. Simulation results show that the circuit can learn linearly non-separable exclusive-or (xor) problem under 1V supply with only 3.8μW of power consumption. Long-term, multi-stage synaptic memory contains more information for a longer time in a single synapse. Comparison of the proposed PSNN with recent hardware neural networks is also provided.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"51 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":"132542367","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}
Pub Date : 2013-12-12DOI: 10.1109/BioCAS.2013.6679696
R. Erfani, A. M. Sodagar
This paper proposes pulse-polarity encoding (PPE) followed by a new modulation technique, called Amplitude-Engraving Modulation (AEM), for short-range data and power telemetry to biomedical implants. The proposed approach is used to simultaneously transfer both power and high-rate data through a 3-contact capacitive link. Key advantage of the proposed modulation scheme lies in the fact that the rate of the data being telemetered is independent from the power carrier frequency, which makes it a proper candidate for high-density micro-stimulation biomedical implants. Simple circuit implementation of the power, data, and clock retrieval circuitry on the implant side is another major advantage for the proposed approach, which leads to extremely low power consumption on the implant. A proof-of-concept prototype setup was developed to verify the idea presented in this paper and carry out preliminary experimental results.
{"title":"Amplitude-Engraving Modulation (AEM) scheme for simultaneous power and high-rate data telemetry to biomedical implants","authors":"R. Erfani, A. M. Sodagar","doi":"10.1109/BioCAS.2013.6679696","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679696","url":null,"abstract":"This paper proposes pulse-polarity encoding (PPE) followed by a new modulation technique, called Amplitude-Engraving Modulation (AEM), for short-range data and power telemetry to biomedical implants. The proposed approach is used to simultaneously transfer both power and high-rate data through a 3-contact capacitive link. Key advantage of the proposed modulation scheme lies in the fact that the rate of the data being telemetered is independent from the power carrier frequency, which makes it a proper candidate for high-density micro-stimulation biomedical implants. Simple circuit implementation of the power, data, and clock retrieval circuitry on the implant side is another major advantage for the proposed approach, which leads to extremely low power consumption on the implant. A proof-of-concept prototype setup was developed to verify the idea presented in this paper and carry out preliminary experimental results.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"326 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":"134519161","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}
Pub Date : 2013-12-12DOI: 10.1109/BioCAS.2013.6679627
Bo Zhao, Qiang Yu, Hang Yu, Shoushun Chen, Huajin Tang
This paper introduces an event based feedforward categorization system, which takes data from a temporal contrast Address Event Presentation (AER) sensor. The proposed system extracts bio-inspired cortex-like features and discriminates different patterns using AER based tempotron classifier (a network of leaky integrate-and-fire (LIF) spiking neurons). One appealing character of our system is the event-driven processing. The input and the features are both in the form of address events (spikes). Experimental results on a posture dataset have proved the efficacy of the proposed system.
{"title":"A bio-inspired feedforward system for categorization of AER motion events","authors":"Bo Zhao, Qiang Yu, Hang Yu, Shoushun Chen, Huajin Tang","doi":"10.1109/BioCAS.2013.6679627","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679627","url":null,"abstract":"This paper introduces an event based feedforward categorization system, which takes data from a temporal contrast Address Event Presentation (AER) sensor. The proposed system extracts bio-inspired cortex-like features and discriminates different patterns using AER based tempotron classifier (a network of leaky integrate-and-fire (LIF) spiking neurons). One appealing character of our system is the event-driven processing. The input and the features are both in the form of address events (spikes). Experimental results on a posture dataset have proved the efficacy of the proposed system.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"23 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":"132856479","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}
Pub Date : 2013-12-12DOI: 10.1109/BioCAS.2013.6679645
V. Valente, A. Demosthenous, R. Bayford
Clinical deep brain stimulation (DBS) is based on the use of cylindrical electrodes driven in monopolar or bipolar configurations. The simulation field spreads symmetrically around the electrode modulating both targeted and non-targeted neural structures. Recent advances have focused on novel stimulation techniques based on the use of high-density segmented electrodes, which allow current-steering and field-shaping capability. This paper presents the architecture of a multi-channel current-steering stimulator output stage that allows for monopolar, bipolar, tripolar and quadripolar multi-site stimulation. The core of the output stage comprises N independent high-compliance current drivers (HCCDs), capable of delivering up to 1.5 mA complementary currents in 10 different current ranges. Each of the N HCCDs can drive up to 8 adjacent electrode contacts thanks to a 2-32 multiplexer controlled by a 5-32 decoder. The HCCD was designed in a HV 0.18μm CMOS process. The circuits were simulated in Cadence Spectre and simulated results are presented in the paper.
{"title":"Output stage of a current-steering multipolar and multisite deep brain stimulator","authors":"V. Valente, A. Demosthenous, R. Bayford","doi":"10.1109/BioCAS.2013.6679645","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679645","url":null,"abstract":"Clinical deep brain stimulation (DBS) is based on the use of cylindrical electrodes driven in monopolar or bipolar configurations. The simulation field spreads symmetrically around the electrode modulating both targeted and non-targeted neural structures. Recent advances have focused on novel stimulation techniques based on the use of high-density segmented electrodes, which allow current-steering and field-shaping capability. This paper presents the architecture of a multi-channel current-steering stimulator output stage that allows for monopolar, bipolar, tripolar and quadripolar multi-site stimulation. The core of the output stage comprises N independent high-compliance current drivers (HCCDs), capable of delivering up to 1.5 mA complementary currents in 10 different current ranges. Each of the N HCCDs can drive up to 8 adjacent electrode contacts thanks to a 2-32 multiplexer controlled by a 5-32 decoder. The HCCD was designed in a HV 0.18μm CMOS process. The circuits were simulated in Cadence Spectre and simulated results are presented in the paper.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"4 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":"114461931","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}
Pub Date : 2013-12-12DOI: 10.1109/BioCAS.2013.6679646
Elliot Greenwald, Cheng Chen, N. Thakor, C. Maier, G. Cauwenberghs
A multi-channel biphasic neural stimulator with on-chip DAC calibration and current matching capabilities is presented. Each channel consists of two sub-binary radix DACs, for the anodic and cathodic stimulation phases, and a wideswing high output impedance current source and sink. A single integrator is shared among channels and serves to calibrate DAC coefficients and to closely match the anodic and cathodic stimulation phases. After calibration, the differential non-linearity is bounded between +/- 0.5 LSBs at 8-bit resolution, and the two stimulation phases can be matched to better than 50 nA. We demonstrate operation with stimulation through a tungsten microelectrode in saline, and show stimulator induced modulation of neural activity in the cortex of a rat. Our novel architecture allows for blind self-calibration, amenable to implantable neural interfaces.
{"title":"A CMOS neurostimulator with on-chip DAC calibration and charge balancing","authors":"Elliot Greenwald, Cheng Chen, N. Thakor, C. Maier, G. Cauwenberghs","doi":"10.1109/BioCAS.2013.6679646","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679646","url":null,"abstract":"A multi-channel biphasic neural stimulator with on-chip DAC calibration and current matching capabilities is presented. Each channel consists of two sub-binary radix DACs, for the anodic and cathodic stimulation phases, and a wideswing high output impedance current source and sink. A single integrator is shared among channels and serves to calibrate DAC coefficients and to closely match the anodic and cathodic stimulation phases. After calibration, the differential non-linearity is bounded between +/- 0.5 LSBs at 8-bit resolution, and the two stimulation phases can be matched to better than 50 nA. We demonstrate operation with stimulation through a tungsten microelectrode in saline, and show stimulator induced modulation of neural activity in the cortex of a rat. Our novel architecture allows for blind self-calibration, amenable to implantable neural interfaces.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"4 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":"124211919","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}
Pub Date : 2013-12-12DOI: 10.1109/BioCAS.2013.6679714
Yishan Wang, R. Wunderlich, S. Heinen
This paper presents a novel lead system based on a wearable wireless ECG sensor for long term homecare. The ECG monitoring system amplifies, filters, samples and transmits 3-lead signals to the Coordinator. The signals are displayed and analyzed on PC. In order to make the sensor more wearable and comfortable for patients, a new lead system is studied and discussed to find the new convenience placements for electrodes. Mason-Likar limb electrode placement is considered as standard lead system. A lot of experiments are implemented to explore the relationship between standard and new lead system. The best placements of new lead system are proposed by comparing the correlation coefficients between standard and new lead system. Multielement non-linear regression method is employed to reconstruct 3-lead signals from the new lead system. This paper provides a powerful evidence that the traditional electrode placements can be replaced by new placements which make the ECG system more convenience and compact.
{"title":"Design and evaluation of a novel wireless reconstructed 3-lead ECG monitoring system","authors":"Yishan Wang, R. Wunderlich, S. Heinen","doi":"10.1109/BioCAS.2013.6679714","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679714","url":null,"abstract":"This paper presents a novel lead system based on a wearable wireless ECG sensor for long term homecare. The ECG monitoring system amplifies, filters, samples and transmits 3-lead signals to the Coordinator. The signals are displayed and analyzed on PC. In order to make the sensor more wearable and comfortable for patients, a new lead system is studied and discussed to find the new convenience placements for electrodes. Mason-Likar limb electrode placement is considered as standard lead system. A lot of experiments are implemented to explore the relationship between standard and new lead system. The best placements of new lead system are proposed by comparing the correlation coefficients between standard and new lead system. Multielement non-linear regression method is employed to reconstruct 3-lead signals from the new lead system. This paper provides a powerful evidence that the traditional electrode placements can be replaced by new placements which make the ECG system more convenience and compact.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"44 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":"124738996","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}
Pub Date : 2013-12-12DOI: 10.1109/BioCAS.2013.6679692
Yu-Po Lin, H. Chiu, P. Huang, Zong-Ye Wang, Hsiang-Hui Cheng, Po-Chiun Huang, K. Tang, Hsi-Pin Ma, Hsin Chen
Deep brain stimulation (DBS) has been found useful for treating neural diseases such as the Parkinson's disease, while the mechanism is not well understood and the DBS is suspected of inducing various side effects. This paper presents a microsystem suitable for studying the mechanism of the DBS. The microsystem contains eight channels of neural recording and stimulation circuits, an analog-to-digital converter, and a digital information hub. In addition, to facilitate long-term study, the microsystem is implantable and batteryless. Both power and data are transmitted wirelessly through a single coil by the time-division-multiple-access (TDMA) technique. The microsystem has been designed and fabricated with the 0.18μm CMOS technology. The pilot testing results are presented and discussed.
{"title":"An implantable microsystem for long-term study on the mechanism of deep brain stimulation","authors":"Yu-Po Lin, H. Chiu, P. Huang, Zong-Ye Wang, Hsiang-Hui Cheng, Po-Chiun Huang, K. Tang, Hsi-Pin Ma, Hsin Chen","doi":"10.1109/BioCAS.2013.6679692","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679692","url":null,"abstract":"Deep brain stimulation (DBS) has been found useful for treating neural diseases such as the Parkinson's disease, while the mechanism is not well understood and the DBS is suspected of inducing various side effects. This paper presents a microsystem suitable for studying the mechanism of the DBS. The microsystem contains eight channels of neural recording and stimulation circuits, an analog-to-digital converter, and a digital information hub. In addition, to facilitate long-term study, the microsystem is implantable and batteryless. Both power and data are transmitted wirelessly through a single coil by the time-division-multiple-access (TDMA) technique. The microsystem has been designed and fabricated with the 0.18μm CMOS technology. The pilot testing results are presented and discussed.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"31 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":"123503468","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}
Pub Date : 2013-12-12DOI: 10.1109/BioCAS.2013.6679666
Hyeon-Cheon Seol, Young-Cheon Kwon, Seongkwan Hong, O. Kwon
We propose an electromyogram (EMG) readout front-end with an automatic gain controller (AGC) for a human-computer interface (HCI). The proposed AGC adaptively controls voltage gain depending on the amplitude of the extracted EMG signal, which is varied according to the number of muscle fibers and the surface condition of the skin. Furthermore, the AGC alleviates the resolution requirement of an analog-digital converter (ADC) by fitting the maximum amplitude of the EMG signal to the full input range of the ADC. In order to obtain the wide-gain range, two variable gain amplifiers (VGAs) are used in the AGC. The voltage gain of the AGC is adjusted from 0 to 48.2 dB. A digital gain controller is employed to reduce the power consumption of the AGC. The calculated power efficiency of the AGC is 6.51 dB/μW. The proposed readout front-end is fabricated by using a 0.18 μm CMOS process technology and dissipates 19 μW at the supply voltage of 1.5 V.
{"title":"An EMG readout front-end with automatic gain controller for human-computer interface","authors":"Hyeon-Cheon Seol, Young-Cheon Kwon, Seongkwan Hong, O. Kwon","doi":"10.1109/BioCAS.2013.6679666","DOIUrl":"https://doi.org/10.1109/BioCAS.2013.6679666","url":null,"abstract":"We propose an electromyogram (EMG) readout front-end with an automatic gain controller (AGC) for a human-computer interface (HCI). The proposed AGC adaptively controls voltage gain depending on the amplitude of the extracted EMG signal, which is varied according to the number of muscle fibers and the surface condition of the skin. Furthermore, the AGC alleviates the resolution requirement of an analog-digital converter (ADC) by fitting the maximum amplitude of the EMG signal to the full input range of the ADC. In order to obtain the wide-gain range, two variable gain amplifiers (VGAs) are used in the AGC. The voltage gain of the AGC is adjusted from 0 to 48.2 dB. A digital gain controller is employed to reduce the power consumption of the AGC. The calculated power efficiency of the AGC is 6.51 dB/μW. The proposed readout front-end is fabricated by using a 0.18 μm CMOS process technology and dissipates 19 μW at the supply voltage of 1.5 V.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":" 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120934701","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}
Pub Date : 2013-12-12DOI: 10.1109/BIOCAS.2013.6679651
Ben Johnson, S. Peace, T. A. Cleland, A. Molnar
We present a 1,120 channel active microelectrode array with 50μm pitch recording sites for direct recording of neural slices. Every sensor site has a frontend low noise amplifier and photopixel for correlating optical stimulus with electrical activity. The frontend is AC-coupled and achieves area-efficiency by integrating the large input capacitor and recording electrode directly over the circuitry in conjunction with a single T-capacitor feedback network. Degraded PSRR (63dB) and CMRR (21dB) from the single feedback network are overcome by utilizing a virtual shared reference, improving rejection to 84dB and 66dB, respectively. Despite a small area, the frontend amplifier has an input-referred noise of 4.3μVrms with tunable high- and low-pass corners with very little variation from site-to-site. Experiments from a transgenic mouse olfactory bulb slice are shown. The array was implemented in a standard 180nm CMOS process.
{"title":"A 50µm pitch, 1120-channel, 20kHz frame rate microelectrode array for slice recording","authors":"Ben Johnson, S. Peace, T. A. Cleland, A. Molnar","doi":"10.1109/BIOCAS.2013.6679651","DOIUrl":"https://doi.org/10.1109/BIOCAS.2013.6679651","url":null,"abstract":"We present a 1,120 channel active microelectrode array with 50μm pitch recording sites for direct recording of neural slices. Every sensor site has a frontend low noise amplifier and photopixel for correlating optical stimulus with electrical activity. The frontend is AC-coupled and achieves area-efficiency by integrating the large input capacitor and recording electrode directly over the circuitry in conjunction with a single T-capacitor feedback network. Degraded PSRR (63dB) and CMRR (21dB) from the single feedback network are overcome by utilizing a virtual shared reference, improving rejection to 84dB and 66dB, respectively. Despite a small area, the frontend amplifier has an input-referred noise of 4.3μVrms with tunable high- and low-pass corners with very little variation from site-to-site. Experiments from a transgenic mouse olfactory bulb slice are shown. The array was implemented in a standard 180nm CMOS process.","PeriodicalId":344317,"journal":{"name":"2013 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"49 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":"127847305","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}
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