WO2004114145A1 - Neural networks with learning and expression capability - Google Patents
Neural networks with learning and expression capability Download PDFInfo
- Publication number
- WO2004114145A1 WO2004114145A1 PCT/IB2004/002119 IB2004002119W WO2004114145A1 WO 2004114145 A1 WO2004114145 A1 WO 2004114145A1 IB 2004002119 W IB2004002119 W IB 2004002119W WO 2004114145 A1 WO2004114145 A1 WO 2004114145A1
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- Prior art keywords
- neuron
- neurons
- neural network
- elemental
- initiating
- Prior art date
Links
- 238000013528 artificial neural network Methods 0.000 title claims abstract description 157
- 230000014509 gene expression Effects 0.000 title claims description 40
- 210000002569 neuron Anatomy 0.000 claims abstract description 835
- 230000000977 initiatory effect Effects 0.000 claims description 85
- 238000000034 method Methods 0.000 claims description 74
- 230000015654 memory Effects 0.000 claims description 59
- 230000001537 neural effect Effects 0.000 claims description 55
- 238000010304 firing Methods 0.000 claims description 23
- 230000000946 synaptic effect Effects 0.000 claims description 21
- 230000004913 activation Effects 0.000 claims description 20
- 238000012545 processing Methods 0.000 claims description 17
- 210000002161 motor neuron Anatomy 0.000 claims description 12
- 230000006870 function Effects 0.000 claims description 10
- 230000002123 temporal effect Effects 0.000 claims description 10
- 230000003213 activating effect Effects 0.000 claims description 7
- 238000001514 detection method Methods 0.000 claims description 7
- 238000005728 strengthening Methods 0.000 claims description 5
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- 238000004458 analytical method Methods 0.000 claims description 2
- 230000003389 potentiating effect Effects 0.000 claims 2
- 230000008569 process Effects 0.000 description 28
- 210000004556 brain Anatomy 0.000 description 17
- 210000004205 output neuron Anatomy 0.000 description 12
- 238000001994 activation Methods 0.000 description 10
- 210000000225 synapse Anatomy 0.000 description 10
- 238000012549 training Methods 0.000 description 9
- 210000002364 input neuron Anatomy 0.000 description 7
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Classifications
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- 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
- G06N3/10—Interfaces, programming languages or software development kits, e.g. for simulating neural 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
- G06N3/08—Learning methods
- G06N3/082—Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
Definitions
- each hidden layer neuron can receive inputs from multiple input neurons concurrently.
- a fifth aspect provides a neural network comprising a plurality of neurons, each neuron being represented in its entirety by a single node in an array.
- Figure 2 is a further illustration of an existing neural network structure
- Figure 3 is an illustration of an existing relationship between two neurons and a synapse
- the logic of the association is that for any two active neurons A and B that are activated or fire, one of them will be an initiating neuron.
- the third neuron C will associate the initiating neuron with the second neuron preserving their order of activation or firing.
- neuron C represents the combined events of the initiating neural event followed by the second neural event.
- This new neuron C can subsequently participate in combining with other neurons (thus creating new associations), and so forth.
- the basic rule for creating new neurons is that if neuron A is activated or fired, concurrent with or followed by neuron B being activated or fired, then a new neuron C can be constructed and possibly activated or fired, representing the association of neurons A and B (i.e. the association of events AB in time or space).
- neuron C already exists due to a prior event or association then neuron C can likewise be reactivated and fired, allowing it to participate in subsequent existing or new activations, thereby allowing it to form new associations. This allows for the construction of neural networks with an unlimited numbers of associations and/or relationships.
- the present invention provides for the capability for 'expression', whereby the sequence of events that leads to the construction of any neuron can be expressed.
- the importance of expression is that it allows a complete sequence of events to be represented by a single neuron, and that sequence can be reproduced by activating that single neuron and, in turn, the neurons that represent the association that is the initiating neuron and the associated neuron in the same relative position or order in which they were created, and so forth. In this manner it is possible for a single neuron representing a complete experience or memory (sequence of events) to be expressed, recalling the experience.
Abstract
Description
Claims
Priority Applications (7)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EP04737088.7A EP1639494B1 (en) | 2003-06-26 | 2004-06-21 | Neural networks with learning and expression capability |
JP2006516581A JP4943146B2 (en) | 2003-06-26 | 2004-06-21 | Neural network with learning and expression functions |
US10/560,666 US7412426B2 (en) | 2003-06-26 | 2004-06-21 | Neural networks with learning and expression capability |
AU2004250403A AU2004250403C1 (en) | 2003-06-26 | 2004-06-21 | Neural networks with learning and expression capability |
IL172201A IL172201A (en) | 2003-06-26 | 2005-11-27 | Neural networks with learning and expression capability |
US12/170,335 US7778946B2 (en) | 2003-06-26 | 2008-07-09 | Neural networks with learning and expression capability |
IL195610A IL195610A (en) | 2003-06-26 | 2008-11-30 | Neural networks with learning and expression capability |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
MYPI20032400A MY138544A (en) | 2003-06-26 | 2003-06-26 | Neural networks with learning and expression capability |
MYPI20032400 | 2003-06-26 |
Related Child Applications (1)
Application Number | Title | Priority Date | Filing Date |
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US12/170,335 Continuation US7778946B2 (en) | 2003-06-26 | 2008-07-09 | Neural networks with learning and expression capability |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2004114145A1 true WO2004114145A1 (en) | 2004-12-29 |
Family
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Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/IB2004/002119 WO2004114145A1 (en) | 2003-06-26 | 2004-06-21 | Neural networks with learning and expression capability |
Country Status (9)
Country | Link |
---|---|
US (2) | US7412426B2 (en) |
EP (6) | EP2472444B1 (en) |
JP (3) | JP4943146B2 (en) |
CN (2) | CN101470813B (en) |
AU (2) | AU2004250403C1 (en) |
IL (2) | IL172201A (en) |
MY (1) | MY138544A (en) |
SG (1) | SG153700A1 (en) |
WO (1) | WO2004114145A1 (en) |
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- 2004-06-21 JP JP2006516581A patent/JP4943146B2/en not_active Expired - Fee Related
- 2004-06-21 AU AU2004250403A patent/AU2004250403C1/en not_active Ceased
- 2004-06-21 US US10/560,666 patent/US7412426B2/en active Active
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- 2004-06-21 SG SG200719019-2A patent/SG153700A1/en unknown
- 2004-06-21 EP EP12156468.6A patent/EP2472445B1/en active Active
- 2004-06-21 CN CN200480017847A patent/CN100576197C/en active Active
- 2004-06-21 EP EP12156393.6A patent/EP2472441B1/en active Active
- 2004-06-21 EP EP12156398.5A patent/EP2472442B1/en active Active
- 2004-06-21 WO PCT/IB2004/002119 patent/WO2004114145A1/en active Application Filing
- 2004-06-21 EP EP04737088.7A patent/EP1639494B1/en active Active
- 2004-06-21 EP EP12156406A patent/EP2472443A3/en not_active Withdrawn
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2005
- 2005-11-27 IL IL172201A patent/IL172201A/en not_active IP Right Cessation
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2008
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2009
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2011
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