Nothing Special   »   [go: up one dir, main page]

WO2014025765A3 - Systems and methods for adaptive neural decoding - Google Patents

Systems and methods for adaptive neural decoding Download PDF

Info

Publication number
WO2014025765A3
WO2014025765A3 PCT/US2013/053772 US2013053772W WO2014025765A3 WO 2014025765 A3 WO2014025765 A3 WO 2014025765A3 US 2013053772 W US2013053772 W US 2013053772W WO 2014025765 A3 WO2014025765 A3 WO 2014025765A3
Authority
WO
WIPO (PCT)
Prior art keywords
nodes
output
hidden
signal
probability
Prior art date
Application number
PCT/US2013/053772
Other languages
French (fr)
Other versions
WO2014025765A2 (en
Inventor
Babak Mahmoudi
Justin C. Sanchez
Original Assignee
University Of Miami
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
Application filed by University Of Miami filed Critical University Of Miami
Publication of WO2014025765A2 publication Critical patent/WO2014025765A2/en
Publication of WO2014025765A3 publication Critical patent/WO2014025765A3/en

Links

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/0033—Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room
    • A61B5/0036—Features or image-related aspects of imaging apparatus classified in A61B5/00, e.g. for MRI, optical tomography or impedance tomography apparatus; arrangements of imaging apparatus in a room including treatment, e.g., using an implantable medical device, ablating, ventilating
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
    • A61B5/316—Modalities, i.e. specific diagnostic methods
    • A61B5/369—Electroencephalography [EEG]
    • A61B5/377—Electroencephalography [EEG] using evoked responses
    • A61B5/378—Visual stimuli
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N1/00—Electrotherapy; Circuits therefor
    • A61N1/18—Applying electric currents by contact electrodes
    • A61N1/32—Applying electric currents by contact electrodes alternating or intermittent currents
    • A61N1/36—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
    • A61N1/36003—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation of motor muscles, e.g. for walking assistance
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N1/00—Electrotherapy; Circuits therefor
    • A61N1/18—Applying electric currents by contact electrodes
    • A61N1/32—Applying electric currents by contact electrodes alternating or intermittent currents
    • A61N1/36—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation
    • A61N1/3605—Implantable neurostimulators for stimulating central or peripheral nerve system
    • A61N1/3606—Implantable neurostimulators for stimulating central or peripheral nerve system adapted for a particular treatment
    • A61N1/36103—Neuro-rehabilitation; Repair or reorganisation of neural tissue, e.g. after stroke
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Veterinary Medicine (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Engineering & Computer Science (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Public Health (AREA)
  • Physics & Mathematics (AREA)
  • Surgery (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Health & Medical Sciences (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Psychiatry (AREA)
  • Psychology (AREA)
  • Feedback Control In General (AREA)
  • Rehabilitation Tools (AREA)
  • Manipulator (AREA)

Abstract

This invention is directed to a system and method for adaptive neural decoding of a user. A plurality of interconnected processing units comprising sensory nodes, hidden nodes, and output nodes forms a three layer network. The sensory nodes receive signals from a neural vector and outputs signals to the hidden nodes. The hidden nodes are connected to the sensory nodes, and the output nodes to the hidden nodes through each of a synaptic connection having an individual synaptic weight. The hidden and output nodes are individually configured to calculate a probability based on its synaptic weights, and output a signal based on the probability. The output signal of the output node having the highest probability is transmitted to the environment. A feedback signal is received by a feedback module based on the output signal, and associated synaptic weight (s) are altered based on the feedback signal.
PCT/US2013/053772 2012-08-06 2013-08-06 Systems and methods for adaptive neural decoding WO2014025765A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201261679939P 2012-08-06 2012-08-06
US61/679,939 2012-08-06

Publications (2)

Publication Number Publication Date
WO2014025765A2 WO2014025765A2 (en) 2014-02-13
WO2014025765A3 true WO2014025765A3 (en) 2014-05-01

Family

ID=50068690

Family Applications (2)

Application Number Title Priority Date Filing Date
PCT/US2013/053772 WO2014025765A2 (en) 2012-08-06 2013-08-06 Systems and methods for adaptive neural decoding
PCT/US2013/053782 WO2014025772A2 (en) 2012-08-06 2013-08-06 Systems and methods for responsive neurorehabilitation

Family Applications After (1)

Application Number Title Priority Date Filing Date
PCT/US2013/053782 WO2014025772A2 (en) 2012-08-06 2013-08-06 Systems and methods for responsive neurorehabilitation

Country Status (1)

Country Link
WO (2) WO2014025765A2 (en)

Families Citing this family (23)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3035249B1 (en) 2014-12-19 2019-11-27 Intel Corporation Method and apparatus for distributed and cooperative computation in artificial neural networks
PT108690B (en) 2015-07-13 2023-04-04 Fund D Anna Sommer Champalimaud E Dr Carlos Montez Champalimaud SYSTEM AND METHOD FOR BRAIN-MACHINE INTERFACE FOR OPERANT LEARNING
FR3051348B1 (en) * 2016-05-19 2018-06-15 Commissariat A L'energie Atomique Et Aux Energies Alternatives NON-SUPERVISED REAL-TIME PROCESSING OF ACTION POTENTIALS OF A PLURALITY OF BIOLOGICAL NEURONS
CN107929939B (en) * 2017-03-17 2023-10-20 重庆理工大学 Nerve electrical stimulation upper limb rehabilitation training robot and application method thereof
WO2019016811A1 (en) * 2017-07-18 2019-01-24 Technion Research & Development Foundation Limited Brain-computer interface rehabilitation system and method
US11893393B2 (en) 2017-07-24 2024-02-06 Tesla, Inc. Computational array microprocessor system with hardware arbiter managing memory requests
US11157287B2 (en) 2017-07-24 2021-10-26 Tesla, Inc. Computational array microprocessor system with variable latency memory access
US11157441B2 (en) 2017-07-24 2021-10-26 Tesla, Inc. Computational array microprocessor system using non-consecutive data formatting
US10671349B2 (en) 2017-07-24 2020-06-02 Tesla, Inc. Accelerated mathematical engine
US11409692B2 (en) 2017-07-24 2022-08-09 Tesla, Inc. Vector computational unit
US11561791B2 (en) 2018-02-01 2023-01-24 Tesla, Inc. Vector computational unit receiving data elements in parallel from a last row of a computational array
US11083895B2 (en) 2018-03-29 2021-08-10 University Of Washington Systems and methods for augmenting and/or restoring brain and nervous system function and inducing new neural connections using self-learning artificial networks
US11617887B2 (en) 2018-04-19 2023-04-04 University of Washington and Seattle Children's Hospital Children's Research Institute Systems and methods for brain stimulation for recovery from brain injury, such as stroke
US11755902B2 (en) * 2018-06-01 2023-09-12 The Charles Stark Draper Laboratory, Inc. Co-adaptation for learning and control of devices
US11557380B2 (en) 2019-02-18 2023-01-17 Merative Us L.P. Recurrent neural network to decode trial criteria
WO2020191920A1 (en) * 2019-03-25 2020-10-01 Huawei Technologies Co., Ltd. Storing complex data in warp gprs
US12048846B2 (en) 2019-08-20 2024-07-30 Rune Labs, Inc. Neuromodulation therapy simulator
US11817209B2 (en) 2019-08-20 2023-11-14 Rune Labs, Inc. Neuromodulation therapy development environment
US11779764B2 (en) * 2019-08-20 2023-10-10 Rune Labs, Inc. Neuromodulation therapy monitoring and continuous therapy reprogramming
CN111696645A (en) * 2020-06-07 2020-09-22 长春理工大学 Hand exoskeleton rehabilitation training device and method based on surface electromyographic signals
CN113673453A (en) * 2021-08-25 2021-11-19 天津大学 M-type ultrasound-based movement intention prediction method and device
CN115192041A (en) * 2022-07-20 2022-10-18 上海暖禾脑科学技术有限公司 Exoskeleton personalized auxiliary exercise rehabilitation method and device and electronic equipment
WO2024197457A1 (en) * 2023-03-24 2024-10-03 中国科学院深圳先进技术研究院 Closed-loop adaptive brain‑machine interface decoding method and device based on reinforcement learning

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5182794A (en) * 1990-07-12 1993-01-26 Allen-Bradley Company, Inc. Recurrent neural networks teaching system
US5280564A (en) * 1991-02-20 1994-01-18 Honda Giken Kogyo Kabushiki Kaisha Neural network having an optimized transfer function for each neuron
US6090796A (en) * 1995-04-12 2000-07-18 The Procter & Gamble Company Pharmaceutical composition for inhibiting the growth of cancers
US20040153358A1 (en) * 2003-01-31 2004-08-05 Lienhart Deborah A. Method and system for prioritizing user feedback
US20050019514A1 (en) * 2001-08-17 2005-01-27 Yoshinori Takegawa Heat-shrinkable polystyrene based resin film roll and method for production thereof, and heat-shrinkable label
US20080065574A1 (en) * 2006-09-08 2008-03-13 Morgan Stanley Adaptive database management and monitoring
US20080243364A1 (en) * 2007-03-26 2008-10-02 Etas, Inc. Neural network-based engine misfire detection systems and methods
US7658349B2 (en) * 2006-10-26 2010-02-09 Honeywell International Inc. Pilot flight control stick haptic feedback system and method
US20100137734A1 (en) * 2007-05-02 2010-06-03 Digiovanna John F System and method for brain machine interface (bmi) control using reinforcement learning
US8048002B2 (en) * 2004-04-27 2011-11-01 Jamshid Ghajar Method for improving cognition and motor timing
US20120089635A1 (en) * 2010-10-12 2012-04-12 WeSpeke, Inc., Language learning exchange

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2466339A1 (en) * 2001-11-10 2003-05-22 Dawn M. Taylor Direct cortical control of 3d neuroprosthetic devices
IL155955A0 (en) * 2003-05-15 2003-12-23 Widemed Ltd Adaptive prediction of changes of physiological/pathological states using processing of biomedical signal
US8374696B2 (en) * 2005-09-14 2013-02-12 University Of Florida Research Foundation, Inc. Closed-loop micro-control system for predicting and preventing epileptic seizures
US8504502B2 (en) * 2007-11-20 2013-08-06 Christopher Fiorillo Prediction by single neurons
JP5075777B2 (en) * 2008-09-23 2012-11-21 本田技研工業株式会社 Rehabilitation equipment
US20110213266A1 (en) * 2010-03-01 2011-09-01 Williams Justin C Closed Loop Neural Activity Triggered Rehabilitation Device And Method
EP2389859B1 (en) * 2010-05-27 2015-08-12 CorTec GmbH BCI device for use in stroke rehabilitation
US9211078B2 (en) * 2010-09-03 2015-12-15 Faculdades Católicas, a nonprofit association, maintainer of the Pontificia Universidade Católica of Rio de Janeiro Process and device for brain computer interface

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5182794A (en) * 1990-07-12 1993-01-26 Allen-Bradley Company, Inc. Recurrent neural networks teaching system
US5280564A (en) * 1991-02-20 1994-01-18 Honda Giken Kogyo Kabushiki Kaisha Neural network having an optimized transfer function for each neuron
US6090796A (en) * 1995-04-12 2000-07-18 The Procter & Gamble Company Pharmaceutical composition for inhibiting the growth of cancers
US20050019514A1 (en) * 2001-08-17 2005-01-27 Yoshinori Takegawa Heat-shrinkable polystyrene based resin film roll and method for production thereof, and heat-shrinkable label
US20040153358A1 (en) * 2003-01-31 2004-08-05 Lienhart Deborah A. Method and system for prioritizing user feedback
US8048002B2 (en) * 2004-04-27 2011-11-01 Jamshid Ghajar Method for improving cognition and motor timing
US20080065574A1 (en) * 2006-09-08 2008-03-13 Morgan Stanley Adaptive database management and monitoring
US7658349B2 (en) * 2006-10-26 2010-02-09 Honeywell International Inc. Pilot flight control stick haptic feedback system and method
US20080243364A1 (en) * 2007-03-26 2008-10-02 Etas, Inc. Neural network-based engine misfire detection systems and methods
US20100137734A1 (en) * 2007-05-02 2010-06-03 Digiovanna John F System and method for brain machine interface (bmi) control using reinforcement learning
US20120089635A1 (en) * 2010-10-12 2012-04-12 WeSpeke, Inc., Language learning exchange

Also Published As

Publication number Publication date
WO2014025772A2 (en) 2014-02-13
WO2014025765A2 (en) 2014-02-13
WO2014025772A3 (en) 2015-07-16

Similar Documents

Publication Publication Date Title
WO2014025765A3 (en) Systems and methods for adaptive neural decoding
WO2015011688A3 (en) Method of training a neural network
IN2014MU00351A (en)
MX357374B (en) Neural network and method of neural network training.
WO2014137952A3 (en) Conservatively adapting a deep neural network in a recognition system
WO2018080124A3 (en) Deep learning neural network based security system and control method therefor
EP4293936A3 (en) Passive optical-based data center networks
WO2012119215A9 (en) Devices and methods for providing a distributed manifestation in an environment
PH12019000467A1 (en) System and method for training neural networks
WO2012114068A3 (en) Use of micro-electro-mechanical systems (mems) in well treatments
WO2012155079A3 (en) Adaptive voice recognition systems and methods
WO2016049371A3 (en) Platform, systems, and methods for obtaining shore and near shore environmental data via crowdsourced sensor network
MX2016015450A (en) A trading system.
WO2012122546A3 (en) Biological data networks and methods therefor
WO2013176855A3 (en) Customized voice action system
WO2012167178A3 (en) Daisy chain devices and systems for digital signal switching and distribution
GB201310169D0 (en) A method for attesting a plurality of data processing systems
WO2018236683A8 (en) Mesh-based digital microbeamforming for ultrasound applications
WO2014063081A3 (en) Dynamic functionality partitioning
WO2016190928A3 (en) Spike domain convolution circuit
SA518391755B1 (en) Environment-Aware Cross-Layer Communication Protocol in Underground Oil Reservoirs
MX2018001483A (en) Tornado detection systems and methods.
WO2014070677A3 (en) Ambient light control and calibration via console
WO2012045998A3 (en) Detector system
WO2011077257A3 (en) A method and a system for configuring a beam forming antenna in a communication network

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 13828435

Country of ref document: EP

Kind code of ref document: A2

122 Ep: pct application non-entry in european phase

Ref document number: 13828435

Country of ref document: EP

Kind code of ref document: A2