FR3106681B1 - Architecture neuromorphique - Google Patents

Architecture neuromorphique Download PDF

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Publication number
FR3106681B1
FR3106681B1 FR2000698A FR2000698A FR3106681B1 FR 3106681 B1 FR3106681 B1 FR 3106681B1 FR 2000698 A FR2000698 A FR 2000698A FR 2000698 A FR2000698 A FR 2000698A FR 3106681 B1 FR3106681 B1 FR 3106681B1
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FR
France
Prior art keywords
track
routing circuit
input
routing
coupled
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Active
Application number
FR2000698A
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English (en)
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FR3106681A1 (fr
Inventor
Thomas Dalgaty
Giacomo Indiveri
Melika Payvand
Elisa Vianello
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Universitaet Zuerich
Commissariat a lEnergie Atomique et aux Energies Alternatives CEA
Original Assignee
Universitaet Zuerich
Commissariat a lEnergie Atomique CEA
Commissariat a lEnergie Atomique et aux Energies Alternatives CEA
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Application filed by Universitaet Zuerich, Commissariat a lEnergie Atomique CEA, Commissariat a lEnergie Atomique et aux Energies Alternatives CEA filed Critical Universitaet Zuerich
Priority to FR2000698A priority Critical patent/FR3106681B1/fr
Priority to EP21152919.3A priority patent/EP3855366A1/fr
Priority to US17/248,373 priority patent/US20210232905A1/en
Publication of FR3106681A1 publication Critical patent/FR3106681A1/fr
Application granted granted Critical
Publication of FR3106681B1 publication Critical patent/FR3106681B1/fr
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/06Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • G06N3/049Temporal neural networks, e.g. delay elements, oscillating neurons or pulsed inputs
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/04Architecture, e.g. interconnection topology
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06NCOMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computing arrangements based on biological models
    • G06N3/02Neural networks
    • G06N3/06Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G06N3/065Analogue means
    • GPHYSICS
    • G11INFORMATION STORAGE
    • G11CSTATIC STORES
    • G11C11/00Digital stores characterised by the use of particular electric or magnetic storage elements; Storage elements therefor
    • G11C11/54Digital stores characterised by the use of particular electric or magnetic storage elements; Storage elements therefor using elements simulating biological cells, e.g. neuron
    • GPHYSICS
    • G11INFORMATION STORAGE
    • G11CSTATIC STORES
    • G11C13/00Digital stores characterised by the use of storage elements not covered by groups G11C11/00, G11C23/00, or G11C25/00
    • G11C13/0002Digital stores characterised by the use of storage elements not covered by groups G11C11/00, G11C23/00, or G11C25/00 using resistive RAM [RRAM] elements
    • GPHYSICS
    • G11INFORMATION STORAGE
    • G11CSTATIC STORES
    • G11C13/00Digital stores characterised by the use of storage elements not covered by groups G11C11/00, G11C23/00, or G11C25/00
    • G11C13/0002Digital stores characterised by the use of storage elements not covered by groups G11C11/00, G11C23/00, or G11C25/00 using resistive RAM [RRAM] elements
    • G11C13/0021Auxiliary circuits
    • G11C13/004Reading or sensing circuits or methods
    • HELECTRICITY
    • H10SEMICONDUCTOR DEVICES; ELECTRIC SOLID-STATE DEVICES NOT OTHERWISE PROVIDED FOR
    • H10BELECTRONIC MEMORY DEVICES
    • H10B63/00Resistance change memory devices, e.g. resistive RAM [ReRAM] devices
    • H10B63/80Arrangements comprising multiple bistable or multi-stable switching components of the same type on a plane parallel to the substrate, e.g. cross-point arrays
    • GPHYSICS
    • G11INFORMATION STORAGE
    • G11CSTATIC STORES
    • G11C13/00Digital stores characterised by the use of storage elements not covered by groups G11C11/00, G11C23/00, or G11C25/00
    • G11C13/0002Digital stores characterised by the use of storage elements not covered by groups G11C11/00, G11C23/00, or G11C25/00 using resistive RAM [RRAM] elements
    • G11C13/0021Auxiliary circuits
    • G11C13/004Reading or sensing circuits or methods
    • G11C2013/0054Read is performed on a reference element, e.g. cell, and the reference sensed value is used to compare the sensed value of the selected cell

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Software Systems (AREA)
  • Neurology (AREA)
  • Computer Hardware Design (AREA)
  • Memory System (AREA)
  • Logic Circuits (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

Architecture neuromorphique La présente description concerne un circuit de routage pour router des signaux entre des circuits de neurones d’un réseau neuronal artificiel, le circuit de routage comprenant : une première cellule mémoire (302) ayant une entrée couplée à une première piste d’entrée (304) du circuit de routage et une sortie couplée à une première piste de colonne (308) ; une deuxième cellule mémoire (302) ayant une entrée couplée à une deuxième piste d’entrée (304) du circuit de routage et une sortie couplée à la première piste de colonne (308) ; et un premier circuit comparateur (310) agencé pour comparer un signal (IREAD1) présent sur la première piste de colonne (308) à un niveau de référence, et pour activer sélectivement un signal (VOUT1) sur une première piste de sortie (312) du circuit de routage en fonction de la comparaison. Figure pour l'abrégé : Fig. 3
FR2000698A 2020-01-24 2020-01-24 Architecture neuromorphique Active FR3106681B1 (fr)

Priority Applications (3)

Application Number Priority Date Filing Date Title
FR2000698A FR3106681B1 (fr) 2020-01-24 2020-01-24 Architecture neuromorphique
EP21152919.3A EP3855366A1 (fr) 2020-01-24 2021-01-22 Architecture neuromorphique
US17/248,373 US20210232905A1 (en) 2020-01-24 2021-01-22 Neuromorphic architecture

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
FR2000698 2020-01-24
FR2000698A FR3106681B1 (fr) 2020-01-24 2020-01-24 Architecture neuromorphique

Publications (2)

Publication Number Publication Date
FR3106681A1 FR3106681A1 (fr) 2021-07-30
FR3106681B1 true FR3106681B1 (fr) 2022-05-06

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
FR2000698A Active FR3106681B1 (fr) 2020-01-24 2020-01-24 Architecture neuromorphique

Country Status (3)

Country Link
US (1) US20210232905A1 (fr)
EP (1) EP3855366A1 (fr)
FR (1) FR3106681B1 (fr)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP4174724B1 (fr) 2021-10-26 2023-10-11 Commissariat à l'Energie Atomique et aux Energies Alternatives Circuit de synapses d'inférence variationnelle
FR3140974A1 (fr) * 2022-10-14 2024-04-19 Commissariat A L'energie Atomique Et Aux Energies Alternatives Circuit neuromorphique

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8311965B2 (en) * 2009-11-18 2012-11-13 International Business Machines Corporation Area efficient neuromorphic circuits using field effect transistors (FET) and variable resistance material
US11501143B2 (en) * 2013-10-11 2022-11-15 Hrl Laboratories, Llc Scalable integrated circuit with synaptic electronics and CMOS integrated memristors
US10169701B2 (en) * 2015-05-26 2019-01-01 International Business Machines Corporation Neuron peripheral circuits for neuromorphic synaptic memory array based on neuron models
JP6602279B2 (ja) * 2016-09-20 2019-11-06 株式会社東芝 メムキャパシタ、ニューロ素子およびニューラルネットワーク装置
US10824937B2 (en) * 2016-12-20 2020-11-03 Intel Corporation Scalable neuromorphic core with shared synaptic memory and variable precision synaptic memory

Also Published As

Publication number Publication date
FR3106681A1 (fr) 2021-07-30
EP3855366A1 (fr) 2021-07-28
US20210232905A1 (en) 2021-07-29

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