2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)最新文献

In-vivo imaging of neural activity with dynamic vision sensors 动态视觉传感器的活体神经活动成像

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-21 DOI: 10.1109/BIOCAS.2017.8325076

Gemma Taverni, Diederik Paul Moeys, F. Voigt, Chenghan Li, C. Cavaco, V. Motsnyi, Stewart Berry, Pia Sipila, D. S. S. Bello, F. Helmchen, T. Delbrück

{"title":"In-vivo imaging of neural activity with dynamic vision sensors","authors":"Gemma Taverni, Diederik Paul Moeys, F. Voigt, Chenghan Li, C. Cavaco, V. Motsnyi, Stewart Berry, Pia Sipila, D. S. S. Bello, F. Helmchen, T. Delbrück","doi":"10.1109/BIOCAS.2017.8325076","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325076","url":null,"abstract":"Optical recording of neural activity using calcium or voltage indicators requires cameras capable of detecting small temporal contrast in light intensity with sample rates of 10 Hz to 1 kHz. Large pixel scientific CMOS image sensors (sCMOS) are typically used due to their high resolution, high frame rate, and low noise. However, using such sensors for long-term recording is challenging due to their high data rates of up to 1 Gb/s. Here we studied the use of dynamic vision sensor (DVS) event cameras for neural recording. DVS have high dynamic range and a sparse asynchronous output consisting of brightness change events. Using DVS for neural recording could avoid transferring and storing redundant information. We compared the use of a Hamamatsu Orca V2 sCMOS with two advanced DVS sensors (a higher temporal contrast sensitivity 188×180 pixel SDAVIS and a 346×260 pixel higher light sensitivity back-side-illuminated BSIDAVIS) for neural activity recordings with fluorescent calcium indicators both in brain slices and awake mice. The DVS activity responds to the fast dynamics of neural activity, indicating that a sensor combining SDAVIS and BSIDAVIS technologies would be beneficial for long-term in-vivo neural recording using calcium indicators as well as potentially faster voltage indicators.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124583613","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

A compact ultra low-power pulse delay and extension circuit for neuromorphic processors 一种用于神经形态处理器的紧凑型超低功耗脉冲延迟和扩展电路

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-21 DOI: 10.1109/BIOCAS.2017.8325234

Carsten Nielsen, Ning Qiao, G. Indiveri

{"title":"A compact ultra low-power pulse delay and extension circuit for neuromorphic processors","authors":"Carsten Nielsen, Ning Qiao, G. Indiveri","doi":"10.1109/BIOCAS.2017.8325234","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325234","url":null,"abstract":"Although silicon neurons communicate among each other using fast spikes, neuromorphic architectures often require long delays and pulse lengths to process temporal signals. In this paper we present a compact and power efficient pulse extension circuit that can convert short spike events into delayed pulses with configurable delay and pulse lengths that range from fractions of microseconds up to tens of milliseconds. The circuit proposed can be used to realize programmable axonal delays in neuromorphic architectures and to support the generation of synaptic dynamics with biologically plausible pulse lengths in mixed-signal analog/digital circuits. To validate the proposed scheme, we designed the pulse delay and extension circuit using a standard 0.18 μm CMOS process and performed post-layout Monte Carlo simulations. We describe the circuit and demonstrate how it can be configured to obtain biological long configurable delays and extension periods. We assess its operation via circuit simulation results and present an analysis of the Monte Carlo simulations that shows how the proposed circuit is resistant to mismatch with a standard deviation in the produced delay and pulse periods of less than 2%.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122918917","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

Live demonstration: In-vivo imaging of neural activity with dynamic vision sensors 现场演示:用动态视觉传感器在体内成像神经活动

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-21 DOI: 10.1109/BIOCAS.2017.8325097

Gemma Taverni, Diederik Paul Moeys, F. Voigt, Chenghan Li, C. Cavaco, V. Motsnyi, Stewart Berry, Pia Sipila, D. S. S. Bello, F. Helmchen, T. Delbrück

引用次数: 0

Robust state-dependent computation in neuromorphic electronic systems 神经形态电子系统鲁棒状态相关计算

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-21 DOI: 10.1109/BIOCAS.2017.8325075

Dongchen Liang, G. Indiveri

引用次数: 9

A neural recording amplifier based on adaptive SNR optimization technique for long-term implantation 基于自适应信噪比优化技术的长期植入神经记录放大器

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-20 DOI: 10.1109/BIOCAS.2017.8325150

Taeju Lee, Doojin Jang, Yoontae Jung, Hyuntak Jeon, Soonyoung Hong, Sungmin Han, Jun-Uk Chu, Junghyup Lee, M. Je

{"title":"A neural recording amplifier based on adaptive SNR optimization technique for long-term implantation","authors":"Taeju Lee, Doojin Jang, Yoontae Jung, Hyuntak Jeon, Soonyoung Hong, Sungmin Han, Jun-Uk Chu, Junghyup Lee, M. Je","doi":"10.1109/BIOCAS.2017.8325150","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325150","url":null,"abstract":"Long-term neural recording which can consistently provide good signal-to-noise ratio (SNR) performance over time is important for stable operation of neuroprosthetic systems. This paper presents an analysis for the SNR optimization in a changing environment which causes variations in the tissue-electrode impedance, Zte. Based on the analysis result, a neural recording amplifier (NRA) is developed employing the SNR optimization technique. The NRA can adaptively change its configuration for in situ SNR optimization. The SNR is improved by 4.69% to 23.33% as Zte changes from 1.59 MQ to 31.8 MQ at 1 kHz. The NRA is fabricated in a 0.18-μm standard CMOS process and operates at 1.8-V supply while consuming 1.6 μA It achieves an input-referred noise of 4.67 μVrms when integrated from 1 Hz to 10 kHz, which leads to the NEF of 2.27 and the NEF2VDD of 9.28. The frequency reponse is measured with a high-pass cutoff frequency of 1 Hz and a low-pass cutoff frequency of 10 kHz. The midband gain is set to 40 dB while occupying 0.11 mm2 of a chip area.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116880903","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

A simultaneous neural recording and stimulation system using signal folding in recording circuits 在记录电路中使用信号折叠的同时神经记录和刺激系统

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-20 DOI: 10.1109/BIOCAS.2017.8325190

Yi Chen, A. Basu, Xu Liu, Lei Yao, S. Nag, M. Je, N. Thakor

引用次数: 0

Live demonstration: A closed-loop cortical brain implant for optogenetic curing epilepsy 现场演示:光遗传治疗癫痫的闭环皮质脑植入物

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-19 DOI: 10.1109/BIOCAS.2017.8325099

Junwen Luo, Dimitrios Firfilionis, R. Ramezani, F. Dehkhoda, A. Soltan, P. Degenaar, Yan Liu, T. Constandinou

引用次数: 2

A 250Mbps 24pJ/bit UWB-inspired optical communication system for bioimplants 用于生物植入物的250Mbps 24pJ/bit超宽带光通信系统

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-19 DOI: 10.1109/BIOCAS.2017.8325081

A. Marcellis, E. Palange, M. Faccio, Guido Di Patrizio Stanchieri, T. Constandinou

{"title":"A 250Mbps 24pJ/bit UWB-inspired optical communication system for bioimplants","authors":"A. Marcellis, E. Palange, M. Faccio, Guido Di Patrizio Stanchieri, T. Constandinou","doi":"10.1109/BIOCAS.2017.8325081","DOIUrl":"https://doi.org/10.1109/BIOCAS.2017.8325081","url":null,"abstract":"This paper presents an optical communication system, implementing a UWB-inspired pulsed coding technique, for emerging high throughput bio-applications such as brain machine interfaces. The proposed solution employs sub-nanosecond laser pulses that, compared to the state-of-the-art, allows for high bit rate transmissions and reduced power consumption. The overall architecture consist of a transmitter and receiver that employ a pulsed semiconductor laser and a small sensitive area photodiode. This can allow for CMOS integration into a compact silicon footprint (estimated lower than 1 mm2 in a 0.18 μm technology). The analogue circuits presented herein have been implemented using discrete off-the-shelf components. These provide the bias and drive signals for laser pulse generation, photodiode signal detection and conditioning. Moreover, the digital sub-system for data coding and decoding processes have been implemented on a FPGA board through VHDL description language. Experimental results validate the overall functionality of the proposed system using a diffuser between transmitter and receiver to emulate skin/tissue. This shows the capability of operating at bit rates up to 250 Mbps achieving BER less than 10−9 and power efficiency as low as 24pJ/bit. These results enable, for example, the transmission of a 1000-channel neural recording system sampled at 16kHz with 16-bit resolution.","PeriodicalId":361477,"journal":{"name":"2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134613522","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: 9

Millimeter-scale integrated and wirewound coils for powering implantable neural microsystems 用于为植入式神经微系统供电的毫米级集成线圈

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-19 DOI: 10.1109/BIOCAS.2017.8325184

Peilong Feng, T. Constandinou, Pyungwoo Yeon, Maysam Ghovanloo

引用次数: 11

Improving the pH sensitivity of ISFET arrays with reactive ion etching 反应离子刻蚀法提高ISFET阵列的pH敏感性

2017 IEEE Biomedical Circuits and Systems Conference (BioCAS) Pub Date : 2017-10-19 DOI: 10.1109/BIOCAS.2017.8325136

Nicolas Moser, Christoforos Panteli, Dora Ma, C. Toumazou, K. Fobelets, P. Georgiou

引用次数: 1