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ECT_DOS.zip    (156KB)
ECT_WIN.zip    (1613KB)
ECT_WIN_sources.zip    (283KB)
ect_screenshot1.jpg    (28KB)
ect_screenshot2.jpg    (21KB)

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{
  "authors": [
    {
      "name": "0728a400aa1c86fe"
    }
  ], 
  "end_iso_date": "1999-02-01", 
  "local_docs": [
    {
      "file": "ECT_DOS.zip", 
      "title": "Download seminconductor neural elements measurement software (ECT) for DOS (~200Kb)"
    }, 
    {
      "file": "ECT_WIN.zip", 
      "title": "Download seminconductor neural elements measurement software (ECT) for Windows (~1.6Mb)"
    }, 
    {
      "file": "ECT_WIN_sources.zip", 
      "title": "Download sources of the seminconductor neural elements measurement software (ECT) for Windows (~300Kb)"
    }, 
    {
      "file": "ect_screenshot1.jpg", 
      "title": "Shapshot 1 (jpg)"
    }, 
    {
      "file": "ect_screenshot2.jpg", 
      "title": "Shapshot 2 (jpg)"
    }
  ], 
  "notes": [
    {
      "italic": "yes", 
      "note": "Released in 1997"
    }, 
    {
      "italic": "yes", 
      "note": "Last version: V2.1 (GPL license)"
    }, 
    {
      "italic": "yes", 
      "note": "Works with special hardware (ADC/DAC board): [$#cm_340819bddbae9666_e82d6e4553b3985c#$]"
    }, 
    {
      "italic": "yes", 
      "note": "Validated by improving recognition and restoration of characters by neural network in noised environments"
    }, 
    {
      "italic": "yes", 
      "note": "Technology: Visual Basic and assembler; PSpise analog circuit and digital logic simulation software; MPI for HPC"
    }, 
    {
      "italic": "yes", 
      "note": "Partially funded by [$#cm_5ae0ce43ceb4d73c_1ab347a4deda9b88#$, $#cm_4978a2f58b214af0_98aa4be821b47b6f#$]"
    }, 
    {
      "italic": "yes", 
      "note": "Publications [$#cm_29db2248aba45e59_154e2c842ea60cb5#$, $#cm_29db2248aba45e59_5fe68265adaf4b24#$, $#cm_29db2248aba45e59_ecb835592497469e#$]"
    }, 
    {
      "italic": "yes", 
      "note": "Repository [$#cm_4d63887b5cda54aa_85b223299d48ddd6#$]"
    }, 
    {
      "italic": "yes", 
      "note": "Due to very slow simulation and limiation of semiconducor technology decided to switch to program and architecture optimization to eventually enable fast and low-power neural networks and machine learning"
    }
  ], 
  "start_iso_date": "1993-02-01", 
  "title": "Semiconductor Brain", 
  "type": {
    "name": "software"
  }, 
  "urls": [], 
  "why": " - semiconductor and modelled neural networks with $#cm_cv_my3#$ own ADC/DAC PC board and analysis software"
}

{}

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