Modelling and Cancellation of the Stimulation Artifact for ASIC-based Bidirectional Neural Interface

Kołodziej, Karolina; Szypulska, Małgorzata; Dąbrowski, W.; Hottowy, Paweł

doi:10.23919/mixdes.2018.8436947

Cited by 2 publications

(2 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, in some sense, Neurostim-3 ASIC can be treated as if it was an arbitrary function generator with 64 independent channels. This can be invaluable when experiment conditions require advanced stimulation techniques e.g., stimulation artefact reduction [ 59 ]. That is why our DAQ was challenged to create and output complex signals resembling biological high frequency spiking activity.…”

Section: Methodsmentioning

confidence: 99%

“…Besides, the ability to reconstruct complex pulses with the stimulation circuitry was checked and exhibited good agreement with the reference waveform. This allows us to think about the usage of sophisticated stimulation patterns in future experiments, possibly with stimulation artefact suppression with correction pulses, as described in [ 59 ]. This idea can take advantage of dynamic ASIC configuration, which would enable independent handling of connected ASICs and variable data sampling rate.…”

Section: Conclusion and Plans For The Futurementioning

confidence: 99%

See 1 more Smart Citation

Modular Data Acquisition System for Recording Activity and Electrical Stimulation of Brain Tissue Using Dedicated Electronics

Jurgielewicz

Fiutowski

Kublik

et al. 2021

Sensors

View full text Add to dashboard Cite

In this paper, we present a modular Data Acquisition (DAQ) system for simultaneous electrical stimulation and recording of brain activity. The DAQ system is designed to work with custom-designed Application Specific Integrated Circuit (ASIC) called Neurostim-3 and a variety of commercially available Multi-Electrode Arrays (MEAs). The system can control simultaneously up to 512 independent bidirectional i.e., input-output channels. We present in-depth insight into both hardware and software architectures and discuss relationships between cooperating parts of that system. The particular focus of this study was the exploration of efficient software design so that it could perform all its tasks in real-time using a standard Personal Computer (PC) without the need for data precomputation even for the most demanding experiment scenarios. Not only do we show bare performance metrics, but we also used this software to characterise signal processing capabilities of Neurostim-3 (e.g., gain linearity, transmission band) so that to obtain information on how well it can handle neural signals in real-world applications. The results indicate that each Neurostim-3 channel exhibits signal gain linearity in a wide range of input signal amplitudes. Moreover, their high-pass cut-off frequency gets close to 0.6Hz making it suitable for recording both Local Field Potential (LFP) and spiking brain activity signals. Additionally, the current stimulation circuitry was checked in terms of the ability to reproduce complex patterns. Finally, we present data acquired using our system from the experiments on a living rat’s brain, which proved we obtained physiological data from non-stimulated and stimulated tissue. The presented results lead us to conclude that our hardware and software can work efficiently and effectively in tandem giving valuable insights into how information is being processed by the brain.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Conclusion and Plans For The Futurementioning

confidence: 99%

Modular Data Acquisition System for Recording Activity and Electrical Stimulation of Brain Tissue Using Dedicated Electronics

Jurgielewicz

Fiutowski

Kublik

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

On the Stimulation Artifact Reduction during Electrophysiological Recording of Compound Nerve Action Potentials ^*

Panskus,

Holzapfel,

Serdijn

et al. 2023

2023 45th Annual International Conference of the IEEE Engineering in Medicine &Amp; Biology Society (EMBC)

View full text Add to dashboard Cite

Modelling and Cancellation of the Stimulation Artifact for ASIC-based Bidirectional Neural Interface

Cited by 2 publications

References 12 publications

Modular Data Acquisition System for Recording Activity and Electrical Stimulation of Brain Tissue Using Dedicated Electronics

Modular Data Acquisition System for Recording Activity and Electrical Stimulation of Brain Tissue Using Dedicated Electronics

On the Stimulation Artifact Reduction during Electrophysiological Recording of Compound Nerve Action Potentials ^*

Contact Info

Product

Resources

About

Modelling and Cancellation of the Stimulation Artifact for ASIC-based Bidirectional Neural Interface

Cited by 2 publications

References 12 publications

Modular Data Acquisition System for Recording Activity and Electrical Stimulation of Brain Tissue Using Dedicated Electronics

Modular Data Acquisition System for Recording Activity and Electrical Stimulation of Brain Tissue Using Dedicated Electronics

On the Stimulation Artifact Reduction during Electrophysiological Recording of Compound Nerve Action Potentials *

Contact Info

Product

Resources

About

On the Stimulation Artifact Reduction during Electrophysiological Recording of Compound Nerve Action Potentials ^*