Adaptation Of Current Signals With Floatinggate Circuits

• doi: 10.1109/MN.1999.758855
• title: Adaptation of current signals with floating-gate circuits
• publisher: IEEE
• isbn: 0-7695-0043-9
• issn:
• rank: 1383
• access_type: LOCKED
• content_type: Conferences
• abstract: In this paper we present a new, adaptive spatial-derivative circuit for use in CMOS image sensors. The circuit removes its offset as a natural part of its operation using a combination of electron tunneling and hot-electron injection to add or remove charge on a floating-gate of an auto-zeroing amplifier. We designed fabricated and successfully tested a chip with the circuit. Test results show that the circuit reduces the offsets by more than an order of magnitude.
• article_number: 758855
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=758855
• html_url: https://ieeexplore.ieee.org/document/758855/
• abstract_url: https://ieeexplore.ieee.org/document/758855/
• publication_title: Proceedings of the Seventh International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems
• conference_location: Granada, Spain
• conference_dates: 9-9 April 1999
• publication_number: 6134
• is_number: 16401
• publication_year: 1999
• publication_date: 9-9 April 1999
• start_page: 128
• end_page: 134
• citing_paper_count: 4
• citing_patent_count: 0
• download_count: 49
• insert_date: 20020806
• index_terms:
  • ieee_terms:
    • Tunneling
    • Circuit testing
    • Very large scale integration
    • Fabrication
    • CMOS technology
    • Photoreceptors
    • Circuit noise
    • Silicon
    • Rain
    • Computer science
  • dynamic_index_terms:
    • Hot Electrons
    • Hot Carriers
    • Dynamic Range
    • Fabrication Process
    • Equilibrium Point
    • Equilibrium Solution
    • Output Current
    • Transfer Characteristics
    • Feature Transfer
    • Voltage Levels
    • Gate Electrode
    • Smart Sensors
    • Neuromorphic Systems
    • Circuit Behavior
    • Tunneling Process
    • Amplifier Output
    • Offset Error
    • Voltage Injection
    • Current Mirror
    • Using Ultraviolet
• isbn_formats:
  • format: Print ISBN, value: 0-7695-0043-9, isbnType: Historical
• authors:
  • Author Name: A. Pesavento
    Affiliation: Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, USA
    Author URL: https://ieeexplore.ieee.org/author/37375888700
    ID: 37375888700
    Order: 1
    Author Affiliations:
    • Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, USA
  • Author Name: T. Horiuchi
    Affiliation: Zanvyl Krieger Mind/Brain Institute, Johns Hopkins University, Baltimore, MD, USA
    Author URL: https://ieeexplore.ieee.org/author/37361926500
    ID: 37361926500
    Order: 2
    Author Affiliations:
    • Zanvyl Krieger Mind/Brain Institute, Johns Hopkins University, Baltimore, MD, USA
  • Author Name: C. Diorio
    Affiliation: Department of Computer Science and Engineering, University of Washington, Seattle, WA, USA
    Author URL: https://ieeexplore.ieee.org/author/37274262800
    ID: 37274262800
    Order: 3
    Author Affiliations:
    • Department of Computer Science and Engineering, University of Washington, Seattle, WA, USA
  • Author Name: C. Koch
    Affiliation: Computation and Neural Systems, California Institute of Technology, Pasadena, CA, USA
    Author URL: https://ieeexplore.ieee.org/author/37282902400
    ID: 37282902400
    Order: 4
    Author Affiliations:
    • Computation and Neural Systems, California Institute of Technology, Pasadena, CA, USA

Image Sensor

• sensor_type: CMOS
• resolution: 26 pixels (array size with 26 photoreceptors)
• dynamic_range: 340 nA
• pixel_size: Not specified
• dark_current: Not specified

Optical Data

• focal_length: Not specified
• aperture: Not specified
• field_of_view: Not specified
• distortion: Not specified

Performance Metrics

• noise: Standard deviation of the current offset for old circuit: 7.8 nA; for the new circuit after adaptation: 1.2 nA; for the one-time learning case: 0.3 nA.

Applications & Benefits

• cell_imaging: Not specified
• benefits: Reduction of fixed-pattern noise by more than an order of magnitude.

Supporting Organizations

• supported_by: Learning and Intelligent Systems (LIS) Grant from the National Science Foundation; Center for Neuromorphic Systems Engineering at Caltech.

Manuscript Details

• publication_date: 9-9 April 1999

Relevancy Score

• score: 10
• missing_fields:
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption

Processed JSON Filename

request_19c57858-c0a8-4d09-9fd9-2cf0b3509940-adaptation_of_current_signals_with_floatinggate_circuits.json