2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings最新文献_第4页

Event-driven sensing and processing for high-speed robotic vision 高速机器人视觉的事件驱动传感与处理

2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981776

L. Camuñas-Mesa, T. Serrano-Gotarredona, B. Linares-Barranco

引用次数: 19

An implantable system for intracranial neural recording applications 一种用于颅内神经记录的植入式系统

2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981749

G. Yilmaz, C. Dehollain

引用次数: 3

Design of a net-zero charge neural stimulator with feedback control 带反馈控制的净零电荷神经刺激器的设计

2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981770

Xilin Liu, Milin Zhang, Hanfei Sun, A. Richardson, T. Lucas, J. Spiegel

{"title":"Design of a net-zero charge neural stimulator with feedback control","authors":"Xilin Liu, Milin Zhang, Hanfei Sun, A. Richardson, T. Lucas, J. Spiegel","doi":"10.1109/BioCAS.2014.6981770","DOIUrl":"https://doi.org/10.1109/BioCAS.2014.6981770","url":null,"abstract":"This paper presents a high efficiency, net-zero charge neural stimulator. A new stimulation strategy is proposed to reduce the charge error that originates from the irreversible charge diffusion, which is a common issue in traditional current matching stimulator designs. In addition, an arbitrary channel configuration of the working and counter electrodes is achieved. Two methodologies are applied to the proposed design to increase the stimulation efficiency: i) feedback control of an adaptive driving voltage, which enables a constant low operating voltage for the entire active circuits; ii) charge recycling, which “recycles” the accumulated charges on the blocking capacitor. An improved current mode DAC and a digital feed-forward error compensation comparator are integrated in the output stage to suppress the process variation, and minimize the charge error in continuous stimulation pulse trains. Performance characterization and invivo experimental result of a prototype chip fabricated in standard 180nm CMOS technology are presented. An efficiency improvement of 51% is measured in the experiment.","PeriodicalId":414575,"journal":{"name":"2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132581993","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

An extended-gate CMOS sensor array with enzyme-immobilized microbeads for redox-potential glucose detection 酶固定化微珠扩展栅CMOS传感器阵列用于葡萄糖氧化还原电位检测

2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981763

Hayato Komori, K. Niitsu, Junko Tanaka, Yu Ishige, M. Kamahori, K. Nakazato

引用次数: 27

A dictionary learning algorithm for multi-channel neural recordings 多通道神经记录的字典学习算法

2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981632

T. Xiong, Yuanming Suo, J. Zhang, Siwei Liu, R. Etienne-Cummings, S. Chin, T. Tran

引用次数: 13

Programmable active pixel sensor for low-light biomedical applications 用于微光生物医学应用的可编程有源像素传感器

2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981811

Gozen Koklu, Y. Leblebici, G. Micheli, S. Carrara

引用次数: 0

In-vivo validation of a compact inductively-powered neural recording interface 紧凑型感应供电神经记录接口的体内验证

2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BIOCAS.2014.6981737

Mahsa Shoaran, G. Yilmaz, R. Periasamy, S. Seiler, S. Santo, C. Pollo, Kaspar Anton Schindler, H. Widmer, C. Dehollain, A. Schmid

引用次数: 0

A spiking implementation of the lamprey's Central Pattern Generator in neuromorphic VLSI 神经形态VLSI中七鳃鳗中枢模式发生器的尖峰实现

2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BIOCAS.2014.6981775

Elisa Donati, Federico Corradi, C. Stefanini, G. Indiveri

{"title":"A spiking implementation of the lamprey's Central Pattern Generator in neuromorphic VLSI","authors":"Elisa Donati, Federico Corradi, C. Stefanini, G. Indiveri","doi":"10.1109/BIOCAS.2014.6981775","DOIUrl":"https://doi.org/10.1109/BIOCAS.2014.6981775","url":null,"abstract":"The lamprey has been often used as a model for understanding the role of Central Pattern Generators (CPGs) in locomotion. Many artificial neural network models have been proposed in the past to explain the neuro-physiology and behavioral data measured from the lamprey, and several robotic implementations have been built to test the software models in a real physical bio-mimetic artifact, and to reproduce the characteristic locomotion patterns observed in the real lamprey. However, in these systems there has typically been a clear separation between the mechanical component of the system (the body), and its control part (the CPG), typically implemented with conventional digital platforms, such as micro-controllers or Field Programmable Gate Arrays (FPGAs). Here we propose to implement a CPG network using neuromorphic electronic circuits, that can be directly interfaced to the robotic actuators of a bio-mimetic robotic lamprey, eliminating the distinction between software and hardware. These circuits comprise low-power analog silicon neurons and synapses, that are affected by device mismatch and noise. The challenge is therefore to determine the CPG model that can best implement robust locomotion control of the bio-mimetic artifact, in face of the constraints imposed by the neuromorphic implementation. As these constraints are similar to the ones faced by the neurons and synapses in the real lamprey (e.g., finite and small power consumption, finite and small resolution or signal to noise ratio, large variability, etc.), the final system implementation will shed light onto the neural processing principles used by real CPG networks to produce robust and distributed control of locomotion in a physical bio-mimetic artifact.","PeriodicalId":414575,"journal":{"name":"2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122889879","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: 22

Toward neuromorphic intelligent brain-machine interfaces: An event-based neural recording and processing system 面向神经形态智能脑机接口:一种基于事件的神经记录与处理系统

2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981793

Federico Corradi, D. Bontrager, G. Indiveri

引用次数: 8

Building an antibody-based pathogen specific plant disease monitoring device for agriculture pest management 基于抗体的农业病虫害病原特异性植物病害监测装置的研制

2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings Pub Date : 2014-12-11 DOI: 10.1109/BioCAS.2014.6981715

Susie Li, Yollanda Hao, Jian Yang, Xiaoyan Yang, Jing Chen

引用次数: 0