Improving an open-source commercial system to reliably perform activity-dependent stimulation-Reference-Cited by-同舟云学术

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Improving an open-source commercial system to reliably perform activity-dependent stimulation

Published:2019-10-29 Issue:6 Volume:16 Page:066022
ISSN:1741-2552
Container-title:Journal of Neural Engineering
language:
Short-container-title:J. Neural Eng.

Author:

Murphy Maxwell^ORCID,Buccelli Stefano^ORCID,Bornat Yannick,Bundy David,Nudo Randolph,Guggenmos David,Chiappalone Michela

Funder

Italian Ministry for Foreign Affairs and International Cooperation

National Institute of Child Health and Human Development

National Institute of Neurological Disorders and Stroke

Publisher

IOP Publishing

Subject

Cellular and Molecular Neuroscience,Biomedical Engineering

Link

http://iopscience.iop.org/article/10.1088/1741-2552/ab3319/pdf

Reference22 articles.

1. Biomimetic neural network for modifying biological dynamics during hybrid experiments

2. A Miniaturized System for Spike-Triggered Intracortical Microstimulation in an Ambulatory Rat

3. A Battery-Powered Activity-Dependent Intracortical Microstimulation IC for Brain-Machine-Brain Interface

4. Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynaptic Cell Type

5. Development and Validation of a Spike Detection and Classification Algorithm Aimed at Implementation on Hardware Devices

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1. Enabling Model-based Design for closed-loop applications in neuroengineering;2023-09-15

2. Neuromorphic-Based Neuroprostheses for Brain Rewiring: State-of-the-Art and Perspectives in Neuroengineering;Brain Sciences;2022-11-19

3. Model-based online implementation of spike detection algorithms for neuroengineering applications;2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2022-07-11

4. FPGA Design Integration of a 32-Microelectrodes Low-Latency Spike Detector in a Commercial System for Intracortical Recordings;Digital;2021-01-30

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