CN207650874U - Inhibit the transmission structure of spiking signals - Google Patents
Inhibit the transmission structure of spiking signals Download PDFInfo
- Publication number
- CN207650874U CN207650874U CN201721622187.4U CN201721622187U CN207650874U CN 207650874 U CN207650874 U CN 207650874U CN 201721622187 U CN201721622187 U CN 201721622187U CN 207650874 U CN207650874 U CN 207650874U
- Authority
- CN
- China
- Prior art keywords
- vcsel
- coupler
- optical signal
- signal
- controller
- 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.)
- Withdrawn - After Issue
Links
- 238000012421 spiking Methods 0.000 title claims abstract description 36
- 230000005540 biological transmission Effects 0.000 title claims abstract description 20
- 230000003287 optical effect Effects 0.000 claims abstract description 73
- 230000010287 polarization Effects 0.000 claims abstract description 45
- 210000005036 nerve Anatomy 0.000 claims abstract description 32
- 238000004458 analytical method Methods 0.000 claims abstract description 12
- 230000008878 coupling Effects 0.000 claims abstract description 11
- 238000010168 coupling process Methods 0.000 claims abstract description 11
- 238000005859 coupling reaction Methods 0.000 claims abstract description 11
- 238000012360 testing method Methods 0.000 claims abstract description 9
- 238000007405 data analysis Methods 0.000 claims description 9
- 230000002401 inhibitory effect Effects 0.000 claims 4
- 230000007274 generation of a signal involved in cell-cell signaling Effects 0.000 abstract 2
- 230000001537 neural effect Effects 0.000 description 21
- 238000013528 artificial neural network Methods 0.000 description 14
- 210000002569 neuron Anatomy 0.000 description 12
- 210000004556 brain Anatomy 0.000 description 6
- 238000011160 research Methods 0.000 description 6
- 230000008054 signal transmission Effects 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 5
- 230000008520 organization Effects 0.000 description 4
- 230000004044 response Effects 0.000 description 4
- 239000004065 semiconductor Substances 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 238000011161 development Methods 0.000 description 3
- 238000002347 injection Methods 0.000 description 3
- 239000007924 injection Substances 0.000 description 3
- 238000000034 method Methods 0.000 description 3
- 230000033228 biological regulation Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000005284 excitation Effects 0.000 description 2
- 239000000835 fiber Substances 0.000 description 2
- 230000010365 information processing Effects 0.000 description 2
- 230000005764 inhibitory process Effects 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 210000000653 nervous system Anatomy 0.000 description 2
- 239000013307 optical fiber Substances 0.000 description 2
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000019771 cognition Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000005265 energy consumption Methods 0.000 description 1
- 210000002364 input neuron Anatomy 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 238000007726 management method Methods 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008904 neural response Effects 0.000 description 1
- 239000004038 photonic crystal Substances 0.000 description 1
- 230000008092 positive effect Effects 0.000 description 1
- 108090000623 proteins and genes Proteins 0.000 description 1
- 239000002096 quantum dot Substances 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
Landscapes
- Lasers (AREA)
Abstract
本实用新型提供抑制spiking信号的传输结构，它包括外部扰动信号产生模块、VCSEL光子神经模块、控制及分析测试模块。所述的外部扰动信号产生模块包括可调激光器、偏振控制器、信号发生器、马赫‑曾德尔调制器、隔离器，所述的VCSEL光子神经模块包括VCSEL、温度控制器、电流控制器。控制及分析测试模块，包括光谱仪、实时示波器、光功率计。本实用新型的一种抑制spiking信号的传输结构采用互耦结构，可实现两个光子神经间抑制spiking信号的双向传输。
The utility model provides a transmission structure for suppressing spiking signals, which includes an external disturbance signal generation module, a VCSEL photon nerve module, and a control and analysis test module. The external disturbance signal generation module includes an adjustable laser, a polarization controller, a signal generator, a Mach-Zehnder modulator, and an isolator, and the VCSEL photonic nerve module includes a VCSEL, a temperature controller, and a current controller. Control and analysis test module, including spectrometer, real-time oscilloscope, optical power meter. A transmission structure for suppressing spiking signals of the utility model adopts a mutual coupling structure, which can realize two-way transmission of suppressing spiking signals between two photon nerves.
Description
Technical field
The utility model belongs to message structure field, more particularly to inhibits the transmission structure of spiking signals.
Background technology
Artificial neural network is related to multiple subjects such as information science, brain science, Neuropsychology, is to human brain or biology god
Abstract and modeling through network is intelligence science and the important component of computational intelligence, it is mainly with brain science and cognition god
Based on achievement in research through science, to automatically control to solve challenge and realization and provide effective way, thus from 20
The research hotspot of artificial intelligence field is gradually become since the 80's of century.
Currently, the developed countries such as America and Europe pay much attention to the development in artificial neural network field, and successively start multinomial heavy
Point project.Early in 2005, European Union started one on supercomputer " Blue Gene " to realize virtual brain as target
Science plan.Then, " human brain plan " was determined as one of following emerging technology Flagship by them in 2013, with this
Meanwhile the U.S. starts the brain of entitled " being studied using the human brain of advanced innovation type Neural Technology " in 100,000,000 dollars of investment in 2013
Planning item.
Under the support of above-mentioned planning item, field of neural networks have been achieved for a series of significant great researchs at
Fruit, such as the Neurogrid of Stanford University, the Truenorth of IBM Corporation, the HICANN of Heidelberg University, Manchester
Neuromorphic chips of university etc..These important achievements have confirmed that the great potential of artificial neural network technology, and
The development of Future Information processing apparatus has been pushed significantly.However, the correlative study of artificial nerve network model mainly focuses at present
In the realization method of the electricity such as CMOS analog circuits, modern super large integrated circuit, although these imitative Neural Technologies can be effectively treated
The crawler behavior of biological neural, but above-mentioned imitative nervous system is limited by bandwidth, distance, power consumption and hinders its application range.
In recent years, the light based on semiconductor optical amplifier, optical fiber laser, photonic crystal chamber, semiconductor laser etc.
Sub- neural model is proposed that these photon neural models can inspire the response letter of 7 to 9 magnitudes faster than biological neural in succession
Number.
Specifically, Tai Te team in Princeton Alexandria had developed global first photon god in 2016
Through form chip, and prove that the chip can be calculated with ultrafast speed.Above-mentioned achievement fully confirms photon neural model
Huge applications potentiality.It is based on for the photon neural model of semiconductor laser, different photon neural models is carried
Go out, such as the photon neural model based on micro-loop, quantum dot, two-part, vertical cavity surface emitting laser (VCSEL).
In these photon neural models based on semiconductor laser, because VCSEL have low cost, low energy consumption, be easy to
Some unique advantages such as two-dimensional array and the high coupling efficiency of optical fiber are integrated into, thus its corresponding photon neural model is
It has been subjected to extensive concern.
The developing direction of present neural network is interrelated, the raising nerve explored in neural network between each neuron
The information handling rate of member.
Impulsive neural networks (Spiking Neuron Networks SNN)
The spiking neural networks for being known as " third generation neural network " are Neuscience, and the one of computational intelligence field is big
Important research achievement, it is the nonlinear system that information is continuously transmitted at any time between capable of effectively simulating biological neuron.It should
System uses time encoding mode organizational information, can simulate the information processing mechanism of true biological clock, compare traditional neural network
Closer to practical biological nervous system.
The task of impulsive neural networks is that the pulse train of input neuron is processed, and generates new pulse train and defeated
Go out neuron.It is well known that biological neuron may excite under outside stimulus or inhibit spiking signals, and it is this
Spiking responses can be transmitted between two neurons, and the spiking response characteristics of each neuron are to research god in neural network
Information handling rate through interdependence and neuron between member has positive effect.Therefore, for VCSEL photon god
For, exploring the related key technical research of spiking signal inhibition responses transmission controllable between this neuron seems
It is particularly important.
Invention content
The purpose of this utility model mainly the development of current artificial neural network there are the problem of, provide and inhibit spiking letters
Number transmission structure, can realize the alternating transmission of the spikes signals inhibited between two photon nerves.
The utility model uses following organization plan：
Inhibit the transmission structure of spiking signals, it includes external disturbance signal generator module, VCSEL photon nerve moulds
Block, control and analysis test module；
The external disturbance signal generator module includes tunable laser, Polarization Controller, signal generator, Mach-
Zeng Deer modulators, isolator, the VCSEL photon nerve modules include VCSEL, temperature controller, current controller；
The optical signal that tunable laser I 1 occurs is connected with I 2 optical signal of Polarization Controller, Polarization Controller I 2 and Mach-
I 4 optical signal of Zeng Deer modulators is connected, and Mach-Zehnder modulators I 4 are connected with II 5 optical signal of Polarization Controller, polarization control
Device II 5 processed is connected with I 6 optical signal of isolator, isolator I 6 is connected with I 7 optical signal of coupler, coupler I 7 and VCSEL I 10
Optical signal is connected, and signal generator I 3 is connected with I 4 electric signal of Mach-Zehnder modulators, current controller I 8 and VCSEL I
The connection of 10 electric signals, temperature controller I 9 are connected with I 10 electric signals of VCSEL；
Tunable laser II 14 occur optical signal connect with V 15 optical signal of Polarization Controller, Polarization Controller V 15 and
II 16 optical signal of Mach-Zehnder modulators connects, and Mach-Zehnder modulators II 16 connect with IV 18 optical signal of Polarization Controller
It connects, Polarization Controller IV 18 is connect with II 19 optical signal of isolator, and isolator II 19 is connected with III 20 optical signal of coupler, coupling
Device III 20 is connected with II 21 optical signals of VCSEL, and signal generator II 17 is connected with II 16 electric signal of Mach-Zehnder modulators,
Current controller II 23 is connect with II 21 electric signals of VCSEL, and temperature controller II 22 is connected with II 21 electric signals of VCSEL；
Coupler I 7 is connect with III 11 optical signal of Polarization Controller, Polarization Controller III 11 and II 12 optical signal phase of coupler
Even, coupler II 12 is connected with 13 optical signal of adjustable attenuator, and adjustable attenuator 13 is connected with III 20 optical signal of coupler.
Further include control and analysis test module comprising spectrometer 24, real-time oscilloscope 25, light power meter 26；
Coupler I 7, coupler II 12, coupler III 20 are connected with 24 optical signal of spectrometer respectively, coupler I 7, coupling
Device II 12, coupler III 20 are connected with 25 optical signal of real-time oscilloscope respectively, coupler I 7, coupler II 12, coupler III 20
It is connected respectively with 26 optical signal of light power meter, spectrometer 24, real-time oscilloscope 25, light power meter 26 pass through data collecting card point
It is not connected with the computer for being equipped with data analysis module 27 and control and regulation module 28, and passes through computer-internal
Labview realizes control.
Tunable laser I 1, signal generator I 3, current controller I 8, temperature controller I 9, tunable laser II 14,
Signal generator II 17, temperature controller II 22, current controller II 23 by data collecting card and are equipped with data analysis mould
Block 27 is connected with the computer for controlling to adjust module 28, and computer manages above-mentioned each portion by internal Labview softwares control
The parameter setting divided, to realize to the control of system and the analysis of experimental data.
The VCSEL I 10, II 21 wavelength of VCSEL are 1300nm.
The utility model has the following advantages：
1, this spiking signal transmission structures can get using 1300nm VCSEL as photon neural model than biology
The spiking signals of the fast at least eight magnitude of neural response；
2, this spiking signal transmission structures use 1300nm VCSEL as photon neural model, can be outer by controlling
Mismatching angle effectively inhibits photon between intensity, signal duration and the disturbing signal and VCSEL output signals of portion's disturbing signal
The spiking signals of nerve excitation.
3, this spiking signal transmission structures use mutual coupling structure, it can be achieved that the spiking inhibited between two photon nerves
The transmitted in both directions of signal realizes the interaction of information between two neurons.
4, the operation wavelength for the VCSEL that this spiking signal transmission structures use, can be with existing fiber system for 1300nm
It is compatible, be conducive to the practicalization for pushing VCSEL photon nerves.
5, this spiking signal transmission structures have at low cost, energy using 1300nm VCSEL as photon neural model
The features such as small is consumed, is conducive to build photon neural network.
Description of the drawings
A kind of knot of the Transmission system of inhibition spiking signals controllable between two mutual coupling VCSELs photon nerves Fig. 1
Structure block diagram；
Fig. 2 is the specific operation principle block diagram of whole system.
In figure：1- tunable lasers I, 2- Polarization Controllers I, 3- signal generators I, 4- Mach-Zehnder modulators I,
5- Polarization Controllers II, 6- isolators 1,7- couplers I, 8- current controllers I, 9- temperature controllers I, 10-VCSEL I, 11-
Polarization Controller III, 12- couplers II, 13- adjustable attenuators, 14- tunable lasers II, 15- Polarization Controllers V, 16-
Mach-Zehnder modulators II, 17- signal generators II, 18- Polarization Controllers IV, 19- isolators II, 20- couplers III,
21-VCSEL II, 22- temperature controllers II, 23- current controllers II, 24- spectrometers, 25- real-time oscilloscopes, 26- luminous powers
Meter, 27- data analysis modules, 28- control to adjust module.
Specific implementation mode
To keep the purpose of this utility model, organization plan and advantage clearer, below structure side in the utility model
Case is clearly and completely described, it is clear that and described embodiment is the utility model a part of the embodiment, rather than all
Embodiment.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative work premise
Lower obtained every other embodiment, shall fall within the protection scope of the present invention.
Inhibit the basic principle of the transmission structure of spiking signals：
Being continuously injected into light first with outside makes first VCSEL photon be operated in the continuous workspaces spiking, so
External disturbance signal, the intensity by control disturbance signal and duration, the VCSEL photons is added in being continuously injected into light afterwards
The spikes signals that nerve generates are totally constrained in entire external disturbance signal workspace.This VCSEL photon nerve generates
Quenchable spikes signals be injected into second VCSEL photon nerve, by the intensity, detuning for suitably adjusting injection light
Amount and polarization state can make second VCSEL photon nerve generate with it is quenchable as first VCSEL photon neural class
Spikes signals.Since the system uses the symmetrical structure of mutual coupling, thus it is similar with first VCSEL photon nerve, second
VCSEL photons nerve can also generate quenchable spikes signals under the effect of external disturbing signal, this signal is injected into
First VCSEL photon nerve can be equally set to obtain quenchable spikes signals after first VCSEL photon nerve.By
This is as it can be seen that can be achieved the transmission of the spiking signals inhibited between two VCSEL photon nerves.
As shown in Figs. 1-2,
Embodiment 1：The first working method of the utility model：
Inhibit the transmission structure of spiking signals, it includes external disturbance signal generator module, VCSEL photon nerve moulds
Block, control and analysis test module；
The external disturbance signal generator module includes tunable laser, Polarization Controller, signal generator, Mach-
Zeng Deer modulators, isolator, the VCSEL photon nerve modules include VCSEL, temperature controller, current controller；
The optical signal that tunable laser I 1 occurs passes through Polarization Controller I 2, Mach-Zehnder modulators I 4, Polarization Control
Device II 5, isolator I 6, coupler I 7 inject VCSEL I 10, and adjust current controller I 8, to control VCSEL's I 10
Size of current adjusts temperature controller I 9 to control the temperature of VCSEL I 10, so that VCSEL I 10 is generated continuous
Spiking signals, Regulate signal generator I 3 control Mach-Zehnder modulators I 4, to adjust the strong of external disturbance signal
Degree and duration, the spikes signals for reaching the generation of VCSEL photon nerves are complete in entire external disturbance signal workspace
Inhibit；
Meanwhile the optical signals that generate of VCSEL I 10 pass through coupler I 7, Polarization Controller III 11, coupler II 12, adjustable
Attenuator 13, coupler III 20 inject VCSEL II 21, by adjusting adjustable attenuator 13, current controller II 22 and temperature
Controller II 23, to make VCSEL II 21 generate with it is quenchable as first I 10 photon neural class of VCSEL
Spikes signals.
The control mode of the utility model embodiment 1, which is adopted, computerizeds control, and computer-internal includes data analysis module
27 and module 28 is controlled to adjust, computer acquires spectrometer 24, real-time oscilloscope 25, light power meter 26 by data collecting card
Data information.
Since coupler I 7, coupler II 12, coupler III 20 are connected with 24 optical signal of spectrometer respectively, coupler I 7,
Coupler II 12, coupler III 20 are connected with 25 optical signal of real-time oscilloscope respectively, coupler I 7, coupler II 12, coupler
III 20 are connected with 26 optical signal of light power meter respectively, and computer can be obtained the basic of two VCSELs photon neural output signals
Information.
And computer is further through data collecting card and tunable laser I 1, signal generator I 3, current controller I 8, temperature
Controller I 9 is connected, and it can be seen that each module basic parameter, mould is controlled by the Labview software management of computer-internal
Block, you can adjust and realize that the spikes signals generated are totally constrained in entire external disturbance signal workspace.
Second of working method of 2 the utility model of embodiment：
Tunable laser II 14 occur optical signal by Polarization Controller V 15, Mach-Zehnder modulators II 16, partially
Shake controller IV 18, isolator II 19, the injection VCSEL II 21 of coupler III 20, and Regulate signal generator II 17 passes through control
Mach-Zehnder modulators II 16 adjust current controller II 23 to adjust intensity and the duration of external disturbance signal
To adjust the size of current of current control VCSEL II 21, temperature controller II 22 is adjusted, VCSEL is adjusted to control temperature
II 21 temperature height, reaching makes VCSEL II 21 generate the spikes letters being totally constrained in external disturbing signal workspace
Number；Similarly, the optical signal that VCSEL II 21 is generated passes through coupler III 20, adjustable attenuator 13, coupler II 12, VCSEL I
10, coupler I 7 injects VCSEL I 10, by adjusting adjustable attenuator 13, adjusts current controller I 8, adjusts temperature control
Device I 9, to make VCSEL I 10 generate and quenchable spikes signals as II 21 first photon neural class of VCSEL.
Ibid, the control way to manage of embodiment 2 is identical with embodiment 1
The control mode of the utility model embodiment 2, which is adopted, computerizeds control, and computer-internal includes data analysis module
27 and module 28 is controlled to adjust, computer acquires spectrometer 24, real-time oscilloscope 25, light power meter 26 by data collecting card
Data information.
Since coupler I 7, coupler II 12, coupler III 20 are connected with 24 optical signal of spectrometer respectively, coupler I 7,
Coupler II 12, coupler III 20 are connected with 25 optical signal of real-time oscilloscope respectively, coupler I 7, coupler II 12, coupler
III 20 are connected with 26 optical signal of light power meter respectively, and computer can be obtained the basic of two VCSELs photon neural output signals
Information.
And computer is further through data collecting card and tunable laser II 14, signal generator II 17, temperature controller II
22, current controller II 23 be connected, and it can be seen that each module pre-set parameter, pass through the Labview softwares of computer-internal
Management control module, you can adjust and realize that the spikes signals generated are totally constrained in entire external disturbance signal workspace.
The structure of the utility model：
Inhibit the transmission structure of spiking signals, it includes external disturbance signal generator module, VCSEL photon nerve moulds
Block, control and analysis test module；
The external disturbance signal generator module includes tunable laser, Polarization Controller, signal generator, Mach-
Zeng Deer modulators, isolator, the VCSEL photon nerve modules include VCSEL, temperature controller, current controller；
The optical signal that tunable laser I 1 occurs is connected with I 2 optical signal of Polarization Controller, Polarization Controller I 2 and Mach-
I 4 optical signal of Zeng Deer modulators is connected, and Mach-Zehnder modulators I 4 are connected with II 5 optical signal of Polarization Controller, polarization control
Device II 5 processed is connected with I 6 optical signal of isolator, isolator I 6 is connected with I 7 optical signal of coupler, coupler I 7 and VCSEL I 10
Optical signal is connected, and signal generator I 3 is connected with I 4 electric signal of Mach-Zehnder modulators, current controller I 8 and VCSEL I
The connection of 10 electric signals, temperature controller I 9 are connected with I 10 electric signals of VCSEL；
Tunable laser II 14 occur optical signal connect with V 15 optical signal of Polarization Controller, Polarization Controller V 15 and
II 16 optical signal of Mach-Zehnder modulators connects, and Mach-Zehnder modulators II 16 connect with IV 18 optical signal of Polarization Controller
It connects, Polarization Controller IV 18 is connect with II 19 optical signal of isolator, and isolator II 19 is connected with III 20 optical signal of coupler, coupling
Device III 20 is connected with II 21 optical signals of VCSEL, and signal generator II 17 is connected with II 16 electric signal of Mach-Zehnder modulators,
Current controller II 23 is connect with II 21 electric signals of VCSEL, and temperature controller II 22 is connected with II 21 electric signals of VCSEL；
Coupler I 7 is connect with III 11 optical signal of Polarization Controller, Polarization Controller III 11 and II 12 optical signal phase of coupler
Even, coupler II 12 is connected with 13 optical signal of adjustable attenuator, and adjustable attenuator 13 is connected with III 20 optical signal of coupler.
Using mutual coupling structure, it can be achieved that between two photon nerves spiking signals transmitted in both directions, realize two neurons
Between information interaction.
By controlling the intensity of external disturbance signal, the duration of signal and external injection light and laser output signal
Between mismatching angle effectively to inhibit the spiking signals of photon nerve excitation.
Information can interact transmission between biological neuron, and the purpose using photon nerve is simulation biological neural
Fundamental characteristics, to be used.
Further, further include control and analysis test module comprising spectrometer 24, real-time oscilloscope 25, luminous power
Meter 26；
Coupler I 7, coupler II 12, coupler III 20 are connected with 24 optical signal of spectrometer respectively, coupler I 7, coupling
Device II 12, coupler III 20 are connected with 25 optical signal of real-time oscilloscope respectively, coupler I 7, coupler II 12, coupler III 20
It is connected respectively with 26 optical signal of light power meter, spectrometer 24, real-time oscilloscope 25, light power meter 26 pass through data collecting card point
It is not connected with the computer for being equipped with data analysis module 27 and control and regulation module 28, and passes through computer-internal
Labview realizes control.
Further, the tunable laser I 1, signal generator I 3, current controller I 8, temperature controller I 9, can
Adjusting laser II 14, signal generator II 17, temperature controller II 22, current controller II 23 pass through data collecting card and installation
There is data analysis module 27 to be connected with the computer for controlling to adjust module 28, computer is controlled by internal Labview softwares
The parameter setting for managing each part mentioned above, to realize to the control of system and the analysis of experimental data.
Further, the VCSEL I 10, II 21 wavelength of VCSEL are 1300nm.
The operation wavelength for the VCSEL that spiking signal transmission structures use, can be simultaneous with existing fiber system for 1300nm
Hold, is conducive to the practicalization for pushing VCSEL photon nerves.
Finally it should be noted that：Above example is only to illustrate the organization plan of the utility model, rather than its limitations；
Although the utility model is described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that：
It can still modify to the organization plan recorded in foregoing embodiments, or which part structure feature is carried out etc.
With replacement；And these modifications or replacements, so that the essence of corresponding construction scheme is detached from various embodiments of the utility model structure
The spirit and scope of scheme.
Claims (4)
1. inhibiting the transmission structure of spiking signals, which is characterized in that it includes external disturbance signal generator module, VCSEL light
Sub- nerve module, control and analysis test module；
The external disturbance signal generator module includes tunable laser, Polarization Controller, signal generator, Mach-Zehnder
That modulator, isolator, the VCSEL photon nerve modules include VCSEL, temperature controller, current controller；
The optical signal that tunable laser I (1) occurs is connected with Polarization Controller I (2) optical signal, Polarization Controller I (2) and horse
I (4) optical signal of conspicuous-Zeng Deer modulators is connected, Mach-Zehnder modulators I (4) and Polarization Controller II (5) optical signal phase
Even, Polarization Controller II (5) is connected with isolator I (6) optical signal, isolator I (6) is connected with coupler I (7) optical signal, coupling
Clutch I (7) is connected with VCSEL I (10) optical signal, signal generator I (3) and Mach-Zehnder modulators I (4) electric signal phase
Even, current controller I (8) is connect with VCSEL I (10) electric signal, temperature controller I (9) is connected with VCSEL I (10) electric signal；
The optical signal that tunable laser II (14) occurs is connect with Polarization Controller V (15) optical signal, Polarization Controller V (15)
It is connect with Mach-Zehnder modulators II (16) optical signal, Mach-Zehnder modulators II (16) and Polarization Controller IV (18)
Optical signal connects, and Polarization Controller IV (18) is connect with isolator II (19) optical signal, isolator II (19) and coupler III
(20) optical signal is connected, and coupler III (20) is connected with VCSEL II (21) optical signal, and signal generator II (17) and Mach-were once
Dare modulator II (16) electric signal is connected, and current controller II (23) is connect with VCSEL II (21) electric signal, temperature controller
II (22) are connected with VCSEL II (21) electric signal；
Coupler I (7) is connect with Polarization Controller III (11) optical signal, and Polarization Controller III (11) is believed with coupler II (12) light
Number it is connected, coupler II (12) is connected with adjustable attenuator (13) optical signal, adjustable attenuator (13) and coupler III (20) light
Signal is connected.
2. the transmission structure according to claim 1 for inhibiting spiking signals, which is characterized in that further include controlling and dividing
Analyse test module comprising spectrometer (24), real-time oscilloscope (25), light power meter (26)；
Coupler I (7), coupler II (12), coupler III (20) are connected with spectrometer (24) optical signal respectively, coupler I
(7), coupler II (12), coupler III (20) are connected with real-time oscilloscope (25) optical signal respectively, coupler I (7), coupler
II (12), coupler III (20) are connected with light power meter (26) optical signal respectively, spectrometer (24), real-time oscilloscope (25), light
Power meter (26) by data collecting card respectively be equipped with data analysis module (27) and control to adjust module (28) calculating
Machine is connected, and is realized and controlled by the Labview of computer-internal.
3. the transmission structure according to claim 1 for inhibiting spiking signals, which is characterized in that tunable laser I (1),
Signal generator I (3), current controller I (8), temperature controller I (9), tunable laser II (14), signal generator II
(17), temperature controller II (22), current controller II (23) by data collecting card and are equipped with data analysis module (27)
It is connected with the computer for controlling to adjust module (28), computer passes through internal Labview softwares control management each part mentioned above
Parameter setting, to realize to the control of system and the analysis of experimental data.
4. the transmission structure according to claim 1 for inhibiting spiking signals, the VCSEL I (10), VCSEL II
(21) wavelength is 1300nm.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201721622187.4U CN207650874U (en) | 2017-11-28 | 2017-11-28 | Inhibit the transmission structure of spiking signals |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201721622187.4U CN207650874U (en) | 2017-11-28 | 2017-11-28 | Inhibit the transmission structure of spiking signals |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN207650874U true CN207650874U (en) | 2018-07-24 |
Family
ID=62882291
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201721622187.4U Withdrawn - After Issue CN207650874U (en) | 2017-11-28 | 2017-11-28 | Inhibit the transmission structure of spiking signals |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN207650874U (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107808192A (en) * | 2017-11-28 | 2018-03-16 | 西南大学 | The transmission structure of controllable suppression spiking signals between a kind of two mutual coupling VCSELs photon nerves |
| CN112767501A (en) * | 2021-01-06 | 2021-05-07 | 西南大学 | VCSEL-SA image identification system and method based on electric control stimulation |
-
2017
- 2017-11-28 CN CN201721622187.4U patent/CN207650874U/en not_active Withdrawn - After Issue
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107808192A (en) * | 2017-11-28 | 2018-03-16 | 西南大学 | The transmission structure of controllable suppression spiking signals between a kind of two mutual coupling VCSELs photon nerves |
| CN107808192B (en) * | 2017-11-28 | 2024-04-26 | 西南大学 | A controllable transmission structure for suppressing spiking signals between two mutually coupled VCSELs photonic nerves |
| CN112767501A (en) * | 2021-01-06 | 2021-05-07 | 西南大学 | VCSEL-SA image identification system and method based on electric control stimulation |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107808192B (en) | A controllable transmission structure for suppressing spiking signals between two mutually coupled VCSELs photonic nerves | |
| Robertson et al. | Toward neuromorphic photonic networks of ultrafast spiking laser neurons | |
| Hejda et al. | Neuromorphic encoding of image pixel data into rate-coded optical spike trains with a photonic VCSEL-neuron | |
| Deng et al. | Stable propagation of inhibited spiking dynamics in vertical-cavity surface-emitting lasers for neuromorphic photonic networks | |
| Robertson et al. | Electrically controlled neuron-like spiking regimes in vertical-cavity surface-emitting lasers at ultrafast rates | |
| CN207650874U (en) | Inhibit the transmission structure of spiking signals | |
| Xiang et al. | Photonic integrated neuro-synaptic core for convolutional spiking neural network | |
| Zhang et al. | Controllable spiking dynamics in cascaded VCSEL-SA photonic neurons | |
| JP2022159140A (en) | Ultra wide band optical processor | |
| Pisarchik et al. | Optical fiber synaptic sensor | |
| Li et al. | Optical implementation of neural learning algorithms based on cross-gain modulation in a semiconductor optical amplifier | |
| CN204334601U (en) | An externally modulated high-speed decoy state quantum light source device | |
| Han et al. | Pattern recognition in multi-synaptic photonic spiking neural networks based on a DFB-SA chip | |
| CN111291881B (en) | Mode identification device and method based on cascade VCSELs photonic nerves | |
| Guo et al. | Hardware implementation of multi-layer photonic spiking neural network with three cascaded photonic spiking neurons | |
| Song et al. | Experimental demonstration of photonic spike-timing-dependent plasticity based on a VCSOA | |
| Zheng et al. | Full-function Pavlov associative learning photonic neural networks based on SOA and DFB-SA | |
| Shastri et al. | Silicon photonics for neuromorphic computing and artificial intelligence: applications and roadmap | |
| Gao et al. | Cascadable excitability and inhibition in DFB laser-based photonic spiking neurons | |
| CN117592534A (en) | Polarization-selective feedback VCSEL-based laser neuron | |
| Qu et al. | Photonic generation of microwave waveform using delay feedback photonic reservoir computing system with SOA | |
| Cruz-Cabrera et al. | Reinforcement and backpropagation training for an optical neural network using self-lensing effects | |
| CN116258189A (en) | A cross-array photonic synapse weight matrix device and its weight adjustment method | |
| CN114757344B (en) | System and method for simulating biological neuron dynamics to realize logical operation | |
| Vatsavai et al. | Silicon photonic microring based chip-scale accelerator for delayed feedback reservoir computing |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| AV01 | Patent right actively abandoned |
Granted publication date: 20180724 Effective date of abandoning: 20240426 |
|
| AV01 | Patent right actively abandoned |
Granted publication date: 20180724 Effective date of abandoning: 20240426 |
|
| AV01 | Patent right actively abandoned | ||
| AV01 | Patent right actively abandoned |