February 1, 2019 Journal article Closed Access

Angotzi, Gian Nicola; Boi, Fabio; Lecomte, Aziliz; Miele, Ermanno; Malerba, Mario; Zucca, Stefano; Casile, Antonino; Berdondini, Luca

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{
  "DOI": "10.1016/j.bios.2018.10.032", 
  "abstract": "Abstract Large-scale neural recordings with high spatial and temporal accuracy are instrumental to understand how the brain works. To this end, it is of key importance to develop probes that can be conveniently scaled up to a high number of recording channels. Despite recent achievements in complementary metal-oxide semiconductor (CMOS) multi-electrode arrays probes, in current circuit architectures an increase in the number of simultaneously recording channels would significantly increase the total chip area. A promising approach for overcoming this scaling issue consists in the use of the modular Active Pixel Sensor (APS) concept, in which a small front-end circuit is located beneath each electrode. However, this approach imposes challenging constraints on the area of the in-pixel circuit, power consumption and noise. Here, we present an APS CMOS-probe technology for Simultaneous Neural recording that successfully addresses all these issues for whole-array read-outs at 25\u202fkHz/channel from up to 1024 electrode-pixels. To assess the circuit performances, we realized in a 0.18\u202f \u03bc m CMOS technology an implantable single-shaft probe with a regular array of 512 electrode-pixels with a pitch of 28\u2009 \u03bc m. Extensive bench tests showed an in-pixel gain of 45.4\u2009\u00b1\u20090.4\u2009dB (low pass, F-3\u2009dB = 4\u2009kHz), an input referred noise of 7.5\u2009\u00b1\u20090.67 \u03bcVRMS (300\u2009Hz to 7.5\u2009kHz) and a power consumption", 
  "author": [
    {
      "family": "Angotzi, Gian Nicola"
    }, 
    {
      "family": "Boi, Fabio"
    }, 
    {
      "family": "Lecomte, Aziliz"
    }, 
    {
      "family": "Miele, Ermanno"
    }, 
    {
      "family": "Malerba, Mario"
    }, 
    {
      "family": "Zucca, Stefano"
    }, 
    {
      "family": "Casile, Antonino"
    }, 
    {
      "family": "Berdondini, Luca"
    }
  ], 
  "id": "32986", 
  "issued": {
    "date-parts": [
      [
        2019, 
        2, 
        1
      ]
    ]
  }, 
  "language": "eng", 
  "note": "", 
  "title": "SiNAPS: An implantable active pixel sensor CMOS-probe for simultaneous large-scale neural recordings", 
  "type": "article-journal"
}