Literature DB >> 23428612

A wideband dual-antenna receiver for wireless recording from animals behaving in large arenas.

Seung Bae Lee1, Ming Yin, Joseph R Manns, Maysam Ghovanloo.   

Abstract

A low-noise wideband receiver (Rx) is presented for a multichannel wireless implantable neural recording (WINeR) system that utilizes time-division multiplexing of pulse width modulated (PWM) samples. The WINeR-6 Rx consists of four parts: 1) RF front end; 2) signal conditioning; 3) analog output (AO); and 4) field-programmable gate array (FPGA) back end. The RF front end receives RF-modulated neural signals in the 403-490 MHz band with a wide bandwidth of 18 MHz. The frequency-shift keying (FSK) PWM demodulator in the FPGA is a time-to-digital converter with 304 ps resolution, which converts the analog pulse width information to 16-bit digital samples. Automated frequency tracking has been implemented in the Rx to lock onto the free-running voltage-controlled oscillator in the transmitter (Tx). Two antennas and two parallel RF paths are used to increase the wireless coverage area. BCI-2000 graphical user interface has been adopted and modified to acquire, visualize, and record the recovered neural signals in real time. The AO module picks three demultiplexed channels and converts them into analog signals for direct observation on an oscilloscope. One of these signals is further amplified to generate an audio output, offering users the ability to listen to ongoing neural activity. Bench-top testing of the Rx performance with a 32-channel WINeR-6 Tx showed that the input referred noise of the entire system at a Tx-Rx distance of 1.5 m was 4.58 μV rms with 8-bit resolution at 640 kSps. In an in vivo experiment, location-specific receptive fields of hippocampal place cells were mapped during a behavioral experiment in which a rat completed 40 laps in a large circular track. Results were compared against those acquired from the same animal and the same set of electrodes by a commercial hardwired recording system to validate the wirelessly recorded signals.

Entities:  

Mesh:

Year:  2013        PMID: 23428612      PMCID: PMC3925346          DOI: 10.1109/TBME.2013.2247603

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  25 in total

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Authors:  Pedram Mohseni; Khalil Najafi; Steven J Eliades; Xiaoqin Wang
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Review 2.  Brain-machine interfaces: past, present and future.

Authors:  Mikhail A Lebedev; Miguel A L Nicolelis
Journal:  Trends Neurosci       Date:  2006-07-21       Impact factor: 13.837

Review 3.  Deep brain stimulation for neurologic and neuropsychiatric disorders.

Authors:  Thomas Wichmann; Mahlon R Delong
Journal:  Neuron       Date:  2006-10-05       Impact factor: 17.173

4.  Place units in the hippocampus of the freely moving rat.

Authors:  J O'Keefe
Journal:  Exp Neurol       Date:  1976-04       Impact factor: 5.330

5.  A single-chip signal processing and telemetry engine for an implantable 96-channel neural data acquisition system.

Authors:  Michael Rizk; Iyad Obeid; Stephen H Callender; Patrick D Wolf
Journal:  J Neural Eng       Date:  2007-07-20       Impact factor: 5.379

6.  Embedded neural recording with TinyOS-based wireless-enabled processor modules.

Authors:  Shahin Farshchi; Aleksey Pesterev; Paul Nuyujukian; Eric Guenterberg; Istvan Mody; Jack W Judy
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2010-01-12       Impact factor: 3.802

7.  Using pulse width modulation for wireless transmission of neural signals in multichannel neural recording systems.

Authors:  Ming Yin; Maysam Ghovanloo
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2009-06-02       Impact factor: 3.802

8.  Robust conjunctive item-place coding by hippocampal neurons parallels learning what happens where.

Authors:  Robert W Komorowski; Joseph R Manns; Howard Eichenbaum
Journal:  J Neurosci       Date:  2009-08-05       Impact factor: 6.167

9.  A wireless multi-channel recording system for freely behaving mice and rats.

Authors:  David Fan; Dylan Rich; Tahl Holtzman; Patrick Ruther; Jeffrey W Dalley; Alberto Lopez; Mark A Rossi; Joseph W Barter; Daniel Salas-Meza; Stanislav Herwik; Tobias Holzhammer; James Morizio; Henry H Yin
Journal:  PLoS One       Date:  2011-07-12       Impact factor: 3.240

Review 10.  Recent advances in neural recording microsystems.

Authors:  Benoit Gosselin
Journal:  Sensors (Basel)       Date:  2011-04-27       Impact factor: 3.576

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  13 in total

1.  An Inductively-Powered Wireless Neural Recording and Stimulation System for Freely-Behaving Animals.

Authors:  Byunghun Lee; Yaoyao Jia; S Abdollah Mirbozorgi; Mark Connolly; Xingyuan Tong; Zhaoping Zeng; Babak Mahmoudi; Maysam Ghovanloo
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2019-01-07       Impact factor: 3.833

2.  Non-restraining EEG Radiotelemetry: Epidural and Deep Intracerebral Stereotaxic EEG Electrode Placement.

Authors:  Anna Papazoglou; Andreas Lundt; Carola Wormuth; Dan Ehninger; Christina Henseler; Julien Soós; Karl Broich; Marco Weiergräber
Journal:  J Vis Exp       Date:  2016-06-25       Impact factor: 1.355

3.  A Software-Defined Radio Receiver for Wireless Recording From Freely Behaving Animals.

Authors:  Yaoyao Jia; Byunghun Lee; Fanpeng Kong; Zhaoping Zeng; Mark Connolly; Babak Mahmoudi; Maysam Ghovanloo
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2019-10-24       Impact factor: 3.833

4.  EnerCage: a smart experimental arena with scalable architecture for behavioral experiments.

Authors:  Peter McMenamin; Mehdi Kiani; Joseph R Manns; Maysam Ghovanloo
Journal:  IEEE Trans Biomed Eng       Date:  2013-08-15       Impact factor: 4.538

5.  A smart homecage system with 3D tracking for long-term behavioral experiments.

Authors:  Mehdi Kiani; Maysam Ghovanloo
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

6.  A Smart Wirelessly Powered Homecage for Long-Term High-Throughput Behavioral Experiments.

Authors:  Byunghun Lee; Mehdi Kiani; Maysam Ghovanloo
Journal:  IEEE Sens J       Date:  2015-09       Impact factor: 3.301

7.  An Inductively-Powered Wireless Neural Recording System with a Charge Sampling Analog Front-End.

Authors:  Seung Bae Lee; Byunghun Lee; Mehdi Kiani; Babak Mahmoudi; Robert Gross; Maysam Ghovanloo
Journal:  IEEE Sens J       Date:  2015-09-28       Impact factor: 3.301

8.  A wireless transmission neural interface system for unconstrained non-human primates.

Authors:  Jose A Fernandez-Leon; Arun Parajuli; Robert Franklin; Michael Sorenson; Daniel J Felleman; Bryan J Hansen; Ming Hu; Valentin Dragoi
Journal:  J Neural Eng       Date:  2015-08-13       Impact factor: 5.379

9.  An Implantable Peripheral Nerve Recording and Stimulation System for Experiments on Freely Moving Animal Subjects.

Authors:  Byunghun Lee; Mukhesh K Koripalli; Yaoyao Jia; Joshua Acosta; M S E Sendi; Yoonsu Choi; Maysam Ghovanloo
Journal:  Sci Rep       Date:  2018-04-17       Impact factor: 4.379

Review 10.  EEG Radiotelemetry in Small Laboratory Rodents: A Powerful State-of-the Art Approach in Neuropsychiatric, Neurodegenerative, and Epilepsy Research.

Authors:  Andreas Lundt; Carola Wormuth; Magdalena Elisabeth Siwek; Ralf Müller; Dan Ehninger; Christina Henseler; Karl Broich; Anna Papazoglou; Marco Weiergräber
Journal:  Neural Plast       Date:  2015-12-24       Impact factor: 3.599

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