Over the last decade, integrated wireless technology has made significant advances with respect to power consumption, data rates, data integrity, and reliability. Bio-engineering applications for wireless neural interfaces can facilitate new and exciting areas of research. The technical design requirements of closed-loop wireless neural interfaces have much more aggressive design specifications as compared to closed-loop tethered neural interfaces due to the limited signal bandwidth and data rates, power consumption, battery and power supply designs, transmitter system weight, noise floor, and enclosure design challenges. The use of custom mixed-signal integrated device technologies is significant to meet these wireless design specifications. Advances with integrated technologies associated with wireless hardware and microcontrollers have also been improved over the last two decades with reduced power consumption and open-source ARM core processors. These Application Specific Integrated Circuits (ASICs) technology trends will continue to improve performance and power consumption over the next decade, which is the main motivation to capture and publish this research topic.
The Wireless Neural Recording and Neuromodulation research topic will focus on:
• Telemetry Systems for In Vivo Recording: Capturing detailed and real-time data from live single units, local fields, EMG, EEG, and electrical/optogenetic stimulation experiments.
• Transmitter/Receiver Hardware and Application Software: Development and synchronization of hardware with application software for behavior and social experiments.
• Implantable and Wearable Technologies: Innovations in device technologies for brain, central, and peripheral nerve anatomical targets in both human and animal models.
• Device Strategies for Humans and Animal Models: Exploring translational technologies and methods applied to diverse models ranging from mice to non-human primates.
• Real-Time Data Streaming Using Full Duplex Radio Technologies: Enhancements in real-time data streaming capabilities for closed-loop neural interfaces. Studies on half duplex and data logger submissions are also encouraged.
We welcome original research articles, review articles, and methods articles relevant to these areas.
Topic editor Craig Patten is employed by Plexon Inc. All other Topic Editors declare no competing interests with regards to the Research Topic subject.
Topic Coordinator Rebecca Gerth is employed by Spike Neuro LLC.
Keywords:
Wireless Neural Interfaces, Telemetry Systems, Power Consumption, Integrated Device Technologies, In vivo Recording
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
Over the last decade, integrated wireless technology has made significant advances with respect to power consumption, data rates, data integrity, and reliability. Bio-engineering applications for wireless neural interfaces can facilitate new and exciting areas of research. The technical design requirements of closed-loop wireless neural interfaces have much more aggressive design specifications as compared to closed-loop tethered neural interfaces due to the limited signal bandwidth and data rates, power consumption, battery and power supply designs, transmitter system weight, noise floor, and enclosure design challenges. The use of custom mixed-signal integrated device technologies is significant to meet these wireless design specifications. Advances with integrated technologies associated with wireless hardware and microcontrollers have also been improved over the last two decades with reduced power consumption and open-source ARM core processors. These Application Specific Integrated Circuits (ASICs) technology trends will continue to improve performance and power consumption over the next decade, which is the main motivation to capture and publish this research topic.
The Wireless Neural Recording and Neuromodulation research topic will focus on:
• Telemetry Systems for In Vivo Recording: Capturing detailed and real-time data from live single units, local fields, EMG, EEG, and electrical/optogenetic stimulation experiments.
• Transmitter/Receiver Hardware and Application Software: Development and synchronization of hardware with application software for behavior and social experiments.
• Implantable and Wearable Technologies: Innovations in device technologies for brain, central, and peripheral nerve anatomical targets in both human and animal models.
• Device Strategies for Humans and Animal Models: Exploring translational technologies and methods applied to diverse models ranging from mice to non-human primates.
• Real-Time Data Streaming Using Full Duplex Radio Technologies: Enhancements in real-time data streaming capabilities for closed-loop neural interfaces. Studies on half duplex and data logger submissions are also encouraged.
We welcome original research articles, review articles, and methods articles relevant to these areas.
Topic editor Craig Patten is employed by Plexon Inc. All other Topic Editors declare no competing interests with regards to the Research Topic subject.
Topic Coordinator Rebecca Gerth is employed by Spike Neuro LLC.
Keywords:
Wireless Neural Interfaces, Telemetry Systems, Power Consumption, Integrated Device Technologies, In vivo Recording
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.