EP3803708A1 - Caractérisation de l'activité dans un réseau neuronal artificiel récurrent et codage et décodage d'informations - Google Patents

Caractérisation de l'activité dans un réseau neuronal artificiel récurrent et codage et décodage d'informations

Info

Publication number
EP3803708A1
EP3803708A1 EP19728993.7A EP19728993A EP3803708A1 EP 3803708 A1 EP3803708 A1 EP 3803708A1 EP 19728993 A EP19728993 A EP 19728993A EP 3803708 A1 EP3803708 A1 EP 3803708A1
Authority
EP
European Patent Office
Prior art keywords
neural network
activity
patterns
representations
topological structures
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP19728993.7A
Other languages
German (de)
English (en)
Inventor
Henry Markram
Ran Levi
Kathryn Pamela Hess Bellwald
Felix Schuermann
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.)
INAIT SA
Original Assignee
INAIT SA
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from US16/004,671 external-priority patent/US11972343B2/en
Priority claimed from US16/004,757 external-priority patent/US11893471B2/en
Priority claimed from US16/004,837 external-priority patent/US11663478B2/en
Priority claimed from US16/004,635 external-priority patent/US20190378007A1/en
Priority claimed from US16/004,796 external-priority patent/US20190378000A1/en
Application filed by INAIT SA filed Critical INAIT SA
Publication of EP3803708A1 publication Critical patent/EP3803708A1/fr
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/082—Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/049—Temporal neural networks, e.g. delay elements, oscillating neurons or pulsed inputs
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/004—Artificial life, i.e. computing arrangements simulating life
    • G06N3/006—Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/004—Artificial life, i.e. computing arrangements simulating life
    • G06N3/008—Artificial life, i.e. computing arrangements simulating life based on physical entities controlled by simulated intelligence so as to replicate intelligent life forms, e.g. based on robots replicating pets or humans in their appearance or behaviour
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/044—Recurrent networks, e.g. Hopfield networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computing Systems (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Mathematical Physics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Biophysics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Robotics (AREA)
  • Image Analysis (AREA)
  • Multi Processors (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

L'invention concerne des procédés, des systèmes et un appareil comprenant des programmes d'ordinateur codés sur un support d'informations d'ordinateur, permettant de caractériser l'activité dans un réseau neuronal artificiel récurrent et de coder et de décoder des informations. Selon un aspect, un procédé mis en œuvre par un ou plusieurs dispositifs de traitement de données peut comprendre la réception d'un ensemble d'apprentissage comprenant une pluralité de représentations de structures topologiques dans des motifs d'activité dans un réseau neuronal source et l'apprentissage d'un réseau neuronal à l'aide des représentations, soit en tant qu'entrée dans le réseau neuronal, soit en tant que vecteur de réponse cible. L'activité est sensible à une entrée dans le réseau neuronal source.
EP19728993.7A 2018-06-11 2019-06-06 Caractérisation de l'activité dans un réseau neuronal artificiel récurrent et codage et décodage d'informations Pending EP3803708A1 (fr)

Applications Claiming Priority (6)

Application Number Priority Date Filing Date Title
US16/004,671 US11972343B2 (en) 2018-06-11 2018-06-11 Encoding and decoding information
US16/004,757 US11893471B2 (en) 2018-06-11 2018-06-11 Encoding and decoding information and artificial neural networks
US16/004,837 US11663478B2 (en) 2018-06-11 2018-06-11 Characterizing activity in a recurrent artificial neural network
US16/004,635 US20190378007A1 (en) 2018-06-11 2018-06-11 Characterizing activity in a recurrent artificial neural network
US16/004,796 US20190378000A1 (en) 2018-06-11 2018-06-11 Characterizing activity in a recurrent artificial neural network
PCT/EP2019/064776 WO2019238523A1 (fr) 2018-06-11 2019-06-06 Caractérisation de l'activité dans un réseau neuronal artificiel récurrent et codage et décodage d'informations

Publications (1)

Publication Number Publication Date
EP3803708A1 true EP3803708A1 (fr) 2021-04-14

Family

ID=66776339

Family Applications (5)

Application Number Title Priority Date Filing Date
EP19728962.2A Pending EP3803699A1 (fr) 2018-06-11 2019-06-05 Caractérisation de l'activité dans un réseau neuronal artificiel récurrent et codage et décodage d'informations
EP19728992.9A Pending EP3803707A1 (fr) 2018-06-11 2019-06-06 Caractérisation de l'activité dans un réseau neuronal artificiel récurrent et codage et décodage d'informations
EP19728989.5A Pending EP3803705A1 (fr) 2018-06-11 2019-06-06 Caractérisation de l'activité dans un réseau neuronal artificiel récurrent et codage et décodage d'informations
EP19728993.7A Pending EP3803708A1 (fr) 2018-06-11 2019-06-06 Caractérisation de l'activité dans un réseau neuronal artificiel récurrent et codage et décodage d'informations
EP19728990.3A Pending EP3803706A1 (fr) 2018-06-11 2019-06-06 Caractérisation de l'activité dans un réseau neuronal artificiel récurrent et codage et décodage d'informations

Family Applications Before (3)

Application Number Title Priority Date Filing Date
EP19728962.2A Pending EP3803699A1 (fr) 2018-06-11 2019-06-05 Caractérisation de l'activité dans un réseau neuronal artificiel récurrent et codage et décodage d'informations
EP19728992.9A Pending EP3803707A1 (fr) 2018-06-11 2019-06-06 Caractérisation de l'activité dans un réseau neuronal artificiel récurrent et codage et décodage d'informations
EP19728989.5A Pending EP3803705A1 (fr) 2018-06-11 2019-06-06 Caractérisation de l'activité dans un réseau neuronal artificiel récurrent et codage et décodage d'informations

Family Applications After (1)

Application Number Title Priority Date Filing Date
EP19728990.3A Pending EP3803706A1 (fr) 2018-06-11 2019-06-06 Caractérisation de l'activité dans un réseau neuronal artificiel récurrent et codage et décodage d'informations

Country Status (5)

Country Link
EP (5) EP3803699A1 (fr)
KR (5) KR102497238B1 (fr)
CN (5) CN112567387A (fr)
TW (1) TWI822792B (fr)
WO (5) WO2019238483A1 (fr)

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11569978B2 (en) 2019-03-18 2023-01-31 Inait Sa Encrypting and decrypting information
US11580401B2 (en) 2019-12-11 2023-02-14 Inait Sa Distance metrics and clustering in recurrent neural networks
US11615285B2 (en) 2017-01-06 2023-03-28 Ecole Polytechnique Federale De Lausanne (Epfl) Generating and identifying functional subnetworks within structural networks
US11652603B2 (en) 2019-03-18 2023-05-16 Inait Sa Homomorphic encryption
US11651210B2 (en) 2019-12-11 2023-05-16 Inait Sa Interpreting and improving the processing results of recurrent neural networks
US11663478B2 (en) 2018-06-11 2023-05-30 Inait Sa Characterizing activity in a recurrent artificial neural network
US11797827B2 (en) 2019-12-11 2023-10-24 Inait Sa Input into a neural network
US11816553B2 (en) 2019-12-11 2023-11-14 Inait Sa Output from a recurrent neural network
US11893471B2 (en) 2018-06-11 2024-02-06 Inait Sa Encoding and decoding information and artificial neural networks

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11972343B2 (en) 2018-06-11 2024-04-30 Inait Sa Encoding and decoding information
US11610134B2 (en) * 2019-07-08 2023-03-21 Vianai Systems, Inc. Techniques for defining and executing program code specifying neural network architectures
TWI769466B (zh) * 2020-06-17 2022-07-01 台達電子工業股份有限公司 類神經網路系統及其操作方法
CN112073217B (zh) * 2020-08-07 2023-03-24 之江实验室 一种多网络结构差异向量化方法及装置
CN113219358A (zh) * 2021-04-29 2021-08-06 东软睿驰汽车技术（沈阳）有限公司 电池包健康状态计算方法、系统及电子设备
TWI769875B (zh) * 2021-06-24 2022-07-01 國立中央大學 深度學習網路裝置、其使用的記憶體存取方法與非揮發性儲存媒介
CN113626721B (zh) * 2021-10-12 2022-01-25 中国科学院自动化研究所 基于遗憾探索的推荐方法、装置、电子设备与存储介质

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP2531959B1 (fr) * 2010-02-05 2017-07-26 Ecole Polytechnique Fédérale de Lausanne (EPFL) Organisation des réseaux neuroneaux

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11615285B2 (en) 2017-01-06 2023-03-28 Ecole Polytechnique Federale De Lausanne (Epfl) Generating and identifying functional subnetworks within structural networks
US11663478B2 (en) 2018-06-11 2023-05-30 Inait Sa Characterizing activity in a recurrent artificial neural network
US11893471B2 (en) 2018-06-11 2024-02-06 Inait Sa Encoding and decoding information and artificial neural networks
US11569978B2 (en) 2019-03-18 2023-01-31 Inait Sa Encrypting and decrypting information
US11652603B2 (en) 2019-03-18 2023-05-16 Inait Sa Homomorphic encryption
US11580401B2 (en) 2019-12-11 2023-02-14 Inait Sa Distance metrics and clustering in recurrent neural networks
US11651210B2 (en) 2019-12-11 2023-05-16 Inait Sa Interpreting and improving the processing results of recurrent neural networks
US11797827B2 (en) 2019-12-11 2023-10-24 Inait Sa Input into a neural network
US11816553B2 (en) 2019-12-11 2023-11-14 Inait Sa Output from a recurrent neural network

Also Published As

Publication number Publication date
CN112567388A (zh) 2021-03-26
TWI822792B (zh) 2023-11-21
EP3803705A1 (fr) 2021-04-14
KR20210008418A (ko) 2021-01-21
KR20210008419A (ko) 2021-01-21
WO2019238513A1 (fr) 2019-12-19
KR102497238B1 (ko) 2023-02-07
CN112567389A (zh) 2021-03-26
KR20210008417A (ko) 2021-01-21
EP3803706A1 (fr) 2021-04-14
CN112585621A (zh) 2021-03-30
WO2019238522A1 (fr) 2019-12-19
WO2019238483A1 (fr) 2019-12-19
KR102465409B1 (ko) 2022-11-09
CN112567387A (zh) 2021-03-26
EP3803707A1 (fr) 2021-04-14
CN112567390A (zh) 2021-03-26
KR102526132B1 (ko) 2023-04-26
KR20210010894A (ko) 2021-01-28
TW202001693A (zh) 2020-01-01
KR102488042B1 (ko) 2023-01-12
WO2019238523A1 (fr) 2019-12-19
KR102475411B1 (ko) 2022-12-07
KR20210008858A (ko) 2021-01-25
WO2019238512A1 (fr) 2019-12-19
EP3803699A1 (fr) 2021-04-14

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