Invention Grant
US07643354B2 Neural network model for instruments that store and retrieve sequential information
失效
用于存储和检索顺序信息的仪器的神经网络模型
- Patent Title: Neural network model for instruments that store and retrieve sequential information
- Patent Title (中): 用于存储和检索顺序信息的仪器的神经网络模型
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Application No.: US09986290Application Date: 2001-11-08
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Publication No.: US07643354B2Publication Date: 2010-01-05
- Inventor: Philip W. Landfield , Olivier Thibault
- Applicant: Philip W. Landfield , Olivier Thibault
- Applicant Address: US KY Lexington
- Assignee: University of Kentucky Research Foundation
- Current Assignee: University of Kentucky Research Foundation
- Current Assignee Address: US KY Lexington
- Agency: McDermott Will & Emery LLP
- Main IPC: G11C7/10
- IPC: G11C7/10

Abstract:
A method and design is provided for distributing and storing sets of temporally ordered information in a systematic and sequential fashion. This method is based on a model of how the brain functions in the distribution and storage of temporally ordered memories, but it can also be applied to the design of new biological, electronic or optical devices. These devices may be used in the testing and development of new therapeutic drugs, in the detection of toxic agents or impaired performance, or in the development of new industrial and consumer devices in which the orderly storage of sequential information is important.
Public/Granted literature
- US20020066457A1 Neural network model for instruments that store and retrieve sequential information Public/Granted day:2002-06-06
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