Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
An Implantable Multichannel Digital Neural Recording System for a Micromachined Sieve Electrode
Download
index.pdf
Date
1995-06-29
Author
Akın, Tayfun
Bradley, R.M.
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
169
views
84
downloads
Cite This
This paper reports the development of an implantable, fully integrated, single-chip, multichannel neural recording system, which is powered and communicated with using an RF telemetry link. The system allows recording of /spl plusmn/500/spl mu/V neural signals from axons regenerated through a micromachined silicon sieve electrode. These signals are amplified using on-chip 100Hz to 3.IkHz bandlimited amplifiers, multiplexed, and digitized with a low-power, high speed current-mode 8-bit ADC, and then transmitted out using a passive RF telemetry link. The overall system dissipates 90mW of power from a 5V supply, and occupies 4x4mm/sup 2/ of area.
Subject Keywords
Digital Recording
,
Electrodes
,
Silicon
,
Telemetry
,
Transmitters
,
Circuits
,
Radio Frequency
,
Control Systems
,
Coils
,
Nerve Fibers
URI
https://hdl.handle.net/11511/48411
DOI
https://doi.org/10.1109/sensor.1995.717081
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
A wireless implantable multichannel digital neural recording system for a micromachined sieve electrode
Akın, Tayfun; Bradley, R.M. (Institute of Electrical and Electronics Engineers (IEEE), 1998)
This paper reports the development of an implantable, fully integrated, multichannel peripheral neural recording system, which is powered and controlled using an RF telemetry link, The system allows recording of +/-500 mu V neural signals from axons regenerated through a micromachined silicon sieve electrode, These signals are amplified using on-chip 100 Hz to 3.1 kHz bandlimited amplifiers, multiplexed, and digitized with a low-power (<2 mW), moderate speed (8 mu s/b) current-mode 8-b analog-to-digital con...
AN AUTOMATIC MODE MATCHING SYSTEM FOR A HIGH Q-FACTOR MEMS GYROSCOPE USING A DECOUPLED PERTURBATION SIGNAL
Yesil, F.; Alper, S. E.; Akın, Tayfun (2015-06-25)
This paper reports a closed-loop controller system developed for in-run automatic matching of the drive and sense mode resonance frequencies of a MEMS gyroscope with a high quality factor (Q). This is achieved by injecting a perturbation signal to the quadrature cancellation loop, while keeping it decoupled from the angular rate control loop. The new controller is implemented in a CMOS ASIC together with the other sensor control loops, and it is verified to maintain matched-mode state under changing environ...
A Nonlinear Detector for Uplink SC-FDE mm-Wave Hybrid Massive MIMO under Hardware Impairments
Salman, Murat Babek; Güvensen, Gökhan Muzaffer (2021-06-01)
In this paper, we propose a detector structure for fully connected hybrid massive MIMO systems with transceiver impairments at user equipments. In literature, memoryless compensation of nonlinear effects at the receiver side is recently proposed for systems employing frequency domain equalization. However, in these studies, the system model is restricted to be symbol sampled, where pulse shaping and fractional delays in channel impulse response (CIR) are not taken into consideration. However, memory effects...
A Digitally programmable application specific integrated circuit for drive and data acquisition of imaging sensorsMethod of moments analysis of slotted waveguide antenna arrays
Bayhan, Nusret; Akın, Tayfun; Eminoğlu, Selim; Department of Electrical and Electronics Engineering (2014)
This thesis explains the implementation of a digital programmable Application Specific Integrated Circuit (ASIC) designed for imaging applications. The primary function of this ASIC is to drive imaging sensors and to do basic processing on the digital video data coming from the sensors. The ASIC is designed to handle the communication between the imaging sensor and the system. Using command based high-level instructions, this two-way communication is simplified. The ASIC can also be used to store and update...
A 1024x768-12 mu m digital ROIC for uncooled microbolometer FPAs (Conference Presentation)
Akın, Tayfun (2017-04-13)
This paper reports the development of a new digital microbolometer Readout Integrated Circuit (D-ROIC), called MT10212BD. It has a format of 1024 × 768 (XGA) and a pixel pitch of 12μm. MT10212BD is Mikro Tasarim’s second 12μm pitch microbolometer ROIC, which is developed specifically for surface micro machined microbolometer detector arrays with small pixel pitch using high-TCR pixel materials, such as VOx and a Si. MT10212BD has an alldigital system on-chip architecture, which generates programmable timing...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
T. Akın and R. M. Bradley, “An Implantable Multichannel Digital Neural Recording System for a Micromachined Sieve Electrode,” 1995, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48411.