Adaptive quantization of local field potentials for wireless implants in freely moving animals: an open-source neural recording device

Martinez, Dominique; Clement, Maxime; Messaoudi, Belkacem; Gervasoni, Damien; Litaudon, Philippe; Buonviso, Nathalie

doi:10.1088/1741-2552/aaa041

Cited by 9 publications

(7 citation statements)

References 28 publications

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“…Conveniently, most of the CAD files designed by developers for multichannel recordings are now available from cloud-based repositories, such as Mendeley data, and laboratory websites, which enables researchers to freely create these devices. Furthermore, wireless recording systems are recently available ( Zuo et al, 2012 ; Martinez et al, 2018 ; Iturra-Mena et al, 2019 ), which are especially useful for stress research because they reduce the physical stress of animals.…”

Section: Methods For Oscillotherapeutic Studies Using Rodentsmentioning

confidence: 99%

Theta-Range Oscillations in Stress-Induced Mental Disorders as an Oscillotherapeutic Target

Okonogi

Sasaki

2021

Front. Behav. Neurosci.

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Emotional behavior and psychological disorders are expressed through coordinated interactions across multiple brain regions. Brain electrophysiological signals are composed of diverse neuronal oscillations, representing cell-level to region-level neuronal activity patterns, and serve as a biomarker of mental disorders. Here, we review recent observations from rodents demonstrating how neuronal oscillations in the hippocampus, amygdala, and prefrontal cortex are engaged in emotional behavior and altered by psychiatric changes such as anxiety and depression. In particular, we focus mainly on theta-range (4–12 Hz) oscillations, including several distinct oscillations in this frequency range. We then discuss therapeutic possibilities related to controlling such mental disease-related neuronal oscillations to ameliorate psychiatric symptoms and disorders in rodents and humans.

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Section: Methods For Oscillotherapeutic Studies Using Rodentsmentioning

confidence: 99%

Theta-Range Oscillations in Stress-Induced Mental Disorders as an Oscillotherapeutic Target

Okonogi

Sasaki

2021

Front. Behav. Neurosci.

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“…To ease the challenge, high-fidelity on-chip and on-device neural signal compression schemes (Chae et al, 2008;Gagnon-Turcotte et al, 2016;Wu et al, 2017Wu et al, , 2018Xu et al, 2018) become essential to relax the bandwidth and energy constraints by reducing the amount of data to be wirelessly transmitted at the system level. For the scope of neural signal compression, several promising approaches have been proposed in the past decades, such as on-chip spike detection and sorting (Lewicki, 1998;Gibson et al, 2011), sparse coding (Kamboh et al, 2007;Gagnon-Turcotte et al, 2016), feature extraction (Wu et al, 2017), and adaptive quantization (Martinez et al, 2018). Moreover, the onchip hardware overhead for data compression and excessive power consumption cannot be neglected.…”

Section: Introductionmentioning

confidence: 99%

Compressed Sensing of Extracellular Neurophysiology Signals: A Review

Sun

Zhao

2021

Front. Neurosci.

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This article presents a comprehensive survey of literature on the compressed sensing (CS) of neurophysiology signals. CS is a promising technique to achieve high-fidelity, low-rate, and hardware-efficient neural signal compression tasks for wireless streaming of massively parallel neural recording channels in next-generation neural interface technologies. The main objective is to provide a timely retrospective on applying the CS theory to the extracellular brain signals in the past decade. We will present a comprehensive review on the CS-based neural recording system architecture, the CS encoder hardware exploration and implementation, the sparse representation of neural signals, and the signal reconstruction algorithms. Deep learning-based CS methods are also discussed and compared with the traditional CS-based approaches. We will also extend our discussion to cover the technical challenges and prospects in this emerging field.

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“…The equipment and the supplementary software packets used to extract brain signal spikes in neurobiological research rely on relatively low sampling rates per channel, being of the order 1-10 ksample/s and https://doi.org/10.1016/j.heliyon.2020. a signal resolution of 10-16 bits [6,9,10,11,12]; therefore, software packages in support of processing these types of signals have also been created mainly regarding this range of data rates. In [13,14], there is a detailed discussion of the required sampling rates for various types of brain activity signals, based on the sampling theorem.…”

Section: Introductionmentioning

confidence: 99%

Measurement system with real time data converter for conversion of I2S data stream to UDP protocol data

Vizvári

Tóth

Sari

et al. 2020

Heliyon

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A central goal of systems neuroscience is to simultaneously measure the activities of all achievable neurons in the brain at millisecond resolution in freely moving animals. This paper describes a protocol converter which is part of a measurement acquisition system for multichannel real time recording of brain signals. In practice, in such techniques, a primary consideration of reliability leads to great necessity towards increasing the sampling rate of these signals while simultaneously increasing the resolution of A/D conversion to 24 bits or even to the unprecedented 32 bits per sample. In fact, this was the guiding principle for our team in the present study. By increasing the temporal and amplitude resolution, it is supposed that we get enabled to discover or recognize and identify new signal components which have previously been masked at a "low" temporal and amplitude resolution, and these new signal components, in the future, are likely to contribute to a deeper understanding of the workings of the brain.

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Adaptive quantization of local field potentials for wireless implants in freely moving animals: an open-source neural recording device

Abstract: Adaptive quantization in neural implants allows for lower transmission bandwidths while retaining high signal fidelity and preserving fundamental frequencies in LFPs.

Cited by 9 publications

References 28 publications

Theta-Range Oscillations in Stress-Induced Mental Disorders as an Oscillotherapeutic Target

Theta-Range Oscillations in Stress-Induced Mental Disorders as an Oscillotherapeutic Target

Compressed Sensing of Extracellular Neurophysiology Signals: A Review

Measurement system with real time data converter for conversion of I2S data stream to UDP protocol data

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