CN104375878A - FPGA simulation system for modulating hippocampus network rhythm through weak electromagnetic stimulation - Google Patents
FPGA simulation system for modulating hippocampus network rhythm through weak electromagnetic stimulation Download PDFInfo
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Abstract
The invention provides an FPGA simulation system for modulating a hippocampus network rhythm through weak electromagnetic stimulation. The simulation system comprises an FPGA-based hardware circuit, a random waveform generator, an analog-digital converter and a man-machine operation interface, a neuron model and a control module adopt a Verilog HDL for compiling and are compiled and downloaded to an FPGA, a synaptic current calculation module, a carbachol equivalent current calculation module, an external electric field equivalent current calculation module and a local field potential calculation module adopt the DSP Builder programming for implementation, and an upper computer operation interface adopts the LabVIEW programming for implementation and is in communication with the FPGA. The system has the advantages of being used as a non-animal testing and high-speed-computation-based FPGA neural network testing platform of the biological neural network to achieve hardware modeling of the hippocampus CA3 area, and being coincident with a real biological neural network on the time scale.
Description
Technical field
The present invention relates to biomedical engineering technology, particularly a kind of FPGA analogue system of the light current Neural stem cell modulation hippocampal network rhythm and pace of moving things.
Background technology
Research shows, the cognitive behaviors such as the hippocampus rhythm and pace of moving things and mammiferous study, memory are closely related.And the encephalomere rule of exception is relevant to psychoneural dysfunction state, such as Parkinson's tremor patients is the exception of the theta rhythm and pace of moving things; Epileptic shows as the exception etc. of the beta rhythm and pace of moving things; The cognitive decrease that patients with Alzheimer disease Early manifestation goes out and behavior disinhibition, the exception of the hippocampal neuronal network electrical activity that has its source in.In recent years, animal and clinical trial certificate electromagnetic stimulation has important curative effect for treatment cognitive system disease, based on electrical transcranial stimulation (the Transcranial ElectricalStimulation of weak current, be called for short TES) can effectively modulate the rhythm and pace of moving things spontaneous in brain, and then regulating perception and cognitive function, it has huge potentiality in the clinical treatment of the nervous system disease.Compared with conventional medication, based on weak current electrical transcranial stimulation therapy safety and without any spinoff, can be used as the instrument of cognitive system rehabilitation.About the experiment in vitro research of Hippocampal CA 1 shows that the weak electric field of electric field intensity within the scope of 0.3-10V/m all can have an impact to neuroelectricity activity, relevant animal experiment confirms that the outside weak electric field applied significantly can regulate the hippocampal network rhythm and pace of moving things such as beta response, gamma rhythm, and β-gamma rhythm etc.Experiment research is no doubt indispensable, but, the cost high due to it and the bottom line of ethics and have some limitations, and experimental result is easily subject to the impact of environmental factor, cause a lot of result of study and inconsistent, the repeatability of experiment is poor.Therefore, nerve based on model calculates research becomes the requisite important means of experimental study, set up the computing platform of the hippocampal network rhythm and pace of moving things, and on this platform, study light current Neural stem cell to the Regulation Mechanism of the hippocampus rhythm and pace of moving things for the potential mechanism of the deep TES of understanding therapy and build electromagnetic stimulation control strategy and have great importance.
In the computational neuroscience research of hippocampal network, emulation of the computer software intricate operation, and for the mimic channel that the specific neuron of certain hippocampal network builds, experiment extensibility and dirigibility have limitation, are not easy to the operation of simulation work and carry out.Therefore the high-performance hardware of the lower hippocampal network rhythm and pace of moving things of light current Neural stem cell modulation realizes, and is a brand-new research direction.
Field programmable gate array (Field Programmable Gate Array, FPGA) technology is a kind of semi-custom circuit engineering in special IC (ASIC) field, which solve the deficiency of custom circuit and programming device gate circuit number is limited in the past problem, favored gradually in the computational neuroscience field taking biological nervous system as object.The shortcoming such as long relative to the mimic channel platform development cycle, FPGA because its integrated level is high, volume is little, parallel computation, the advantage such as repeated configuration, flexible in programming, good reliability, low-power consumption can realize the emulation of neuron bioelectrical activity and specificity analysis under yardstick actual time.Application can the FPGA of concurrent operation, under can completing yardstick actual time, neuron bioelectrical activity emulates and specificity analysis, improve operation efficiency, in neuron behavior research, resonance and electromagnetic field effect research, bionics, intelligent system etc., have important using value.
Existing technology is also in foundation phase, therefore still there is following shortcoming: the FPGA analogue system that there is no the light current Neural stem cell modulation hippocampal network rhythm and pace of moving things based on the perfect in shape and function of FPGA; The simulation hardware neural network model using FPGA to realize is relatively simple for structure, and precision is not high; Man-machine interface is not yet perfect, cannot carry out real-time control operation and data analysis, therefore more difficult to the Operations Analyst of FPGA hardware neuroid.
Summary of the invention
For the deficiency existed in above-mentioned technology, the object of this invention is to provide the FPGA analogue system of a kind of light current Neural stem cell modulation hippocampal network rhythm and pace of moving things, make researchist can complete the relevant simulation work of hippocampal neuronal network in the change of the light current Neural stem cell modulation lower network rhythm and pace of moving things flexibly easily, intuitively data are read, for research provides Important Theoretic Foundation through the mechanism of action of cranium electromagnetic stimulation by operation interface.
For achieving the above object, the technical solution used in the present invention is to provide the FPGA analogue system of a kind of light current Neural stem cell modulation hippocampal network rhythm and pace of moving things, wherein: this analogue system comprises the hardware circuit based on FPGA, AWG (Arbitrary Waveform Generator), analog to digital converter and man machine operation interface, neuron models and control module adopt Verilog HDL language compilation, and compiling downloads in FPGA, synaptic currents computing module, carbachol equivalent current computing module, external electric field equivalent current computing module and local field potential calculation module adopt DSP Builder programming realization, host computer operation interface is by LabVIEW programming realization, and carry out communication with FPGA.
The invention has the beneficial effects as follows that this analogue system achieves the modeling of complicated hippocampal neuronal network, devise and have man-machine interface that is visual and operability concurrently, improve dirigibility and the operability of system, can emulate the mathematical model with hippocampal neuronal network in time scale; Meanwhile, this analogue system is that under light current Neural stem cell, the rhythm and pace of moving things emulates the Visual Simulation System provided in yardstick actual time, has important practical value to the research of the mechanism of action understanding electrical transcranial stimulation.The FPGA neuroid functional characteristic emulation calculated based on high-speed parallel is a kind of without zooperal method, and the applied research of its experiment porch worldwide belongs to the sciemtifec and technical sphere in a forward position.The FPGA analogue system proposing the light current Neural stem cell modulation hippocampal network rhythm and pace of moving things of this research and innovation, it has some advantage following: 1, designed hardware simulation model can keep the consistance with true biological neuron in time scale, its chips maximum operation frequency is 200MHz, concurrent operation ensures that film potential output frequency is within 1 millisecond, meet actual nerve elementary time scale requirement, the research for neuron resonance effect provides quicker, portable hardware experiment platform; 2, this platform peripheral stimulate power and frequency regulate by arbitrarily signal generating device, neuron parameter, outside stimulus signal behavior etc. can pass through upper computer software interface configurations, complete the various characteristics utilizing computer user's operation interface configuration experimental facilities; 3, host computer operation interface can real-time monitored network discharge condition, power spectrum, local field electromotive force and network grid figure, and quantitatively can record external field stimulus equivalence size of current, carry out the specificity analysis of neuroid simultaneously, data storage function is convenient to the analytical work of follow-up data, under electromagnetic stimulation, the research of the hippocampal network rhythm and pace of moving things provides better Research in Visualization and Simulation platform.
Accompanying drawing explanation
Fig. 1 is emulate system architecture schematic diagram of the present invention;
Fig. 2 is analogue system hippocampus CA3 network computing model of the present invention;
Fig. 3 is analogue system hippocampal network mononeuron pipeline model of the present invention;
Fig. 4 is analogue system synaptic currents computing module of the present invention;
Fig. 5 is analogue system equivalent current computing module of the present invention;
Fig. 6 is human-machine operation operation interface schematic diagram of the present invention.
In figure:
(1) the FPGA development board (2) the upper machine. (3) The FPGA chip Ⅰ 4. The FPGA chip Ⅱ 5. 6. The AD converter USB interface module 7. 8. Arbitrary waveform generator hippocampal neuron network model 9. 10. Synaptic current calculation module control module 11. Kappa choline equivalent current calculation module 12. Equivalent current electric field calculation module 13. The local field potential calculation module 14. PC interface 15. Hippocampal CA3 network model 16. 17. Membrane potential signal output data bus 18. 19. The input data bus USB interface chip, USB interface 21. 22. The external stimulation signal external stimulus selection signal. 23 24 synaptic current signal. The SDRAM memory module 25. The equivalent current calculation module of 26. The local field potential signal 27 electric field equivalent current signal 28. The kappa choline equivalent current signal 29 model parameter signal 30. Assembly line P 31 data path. The line Q data path road 32. 33. Network connection matrix network synaptic weights matrix 34 membrane potential dual port RAM 35 images storage 36 multiplexer with multiplex control signal 38. 39. The TAB interface basic operation box. 40 plus stimulus operation box. 41 parameter setting box 42. 43. The neurons and waveform display selection knob waveform figure window 44. Electric field stimulation waveform figure window
Embodiment
Be illustrated below in conjunction with the FPGA emulate system architecture of accompanying drawing to the light current Neural stem cell modulation hippocampal network rhythm and pace of moving things of the present invention.
The design philosophy of the FPGA analogue system of the light current Neural stem cell modulation hippocampal network rhythm and pace of moving things of the present invention is on FPGA development board 1, first set up excitability and inhibition two class neuron models respectively, then on FPGA development board 1, design synaptic currents computing module 9 receive refreshing hippocampal network and calculate gained film potential signal 16 through meta-model 8 and carry out computing, it produces synaptic currents signal 23 makes hippocampus CA3 network model 15 be of coupled connections, and produces the dynamic perfromance of hippocampal network and the electric discharge rhythm and pace of moving things, utilizing AWG (Arbitrary Waveform Generator) 7 to produce the arbitrary signal such as square wave, sine, by stimulating the electric discharge rhythm and pace of moving things and the dynamic perfromance of change hippocampus CA3 network model 15, making its power spectrum produce corresponding change to electric discharge grid figure, utilize control module 10 as the control core of outside stimulus signal 21, input instruction according to host computer operation interface 14 and respective enable operation is carried out to the transmission of outside stimulus signal 21 data and selection, usb interface module 6 transmits as host computer 2 and FPGA development board 1 data the center exchanged, finally design upper computer software interface 14, upper computer software interface 14 is by parameters and be transferred to fpga chip I 3, in fpga chip II 4, realize the configuration of neuron models 8 key parameter and the selection of stimulus signal 21, stimulus signal type can be selected by pull bar in outside stimulus operation box 41, also can the dynamic data of neuroid electric discharge in fpga chip II 4 be uploaded in host computer 2 simultaneously, the display of electric discharge dynamic waveform is carried out at host computer operation interface 14, undertaken by host computer 2 that power spectrum is same with the result of electric discharge grid map analysis to be presented in host computer operation interface 14 in the form of images.This analogue system is made up of interconnective FPGA development board 1, AWG (Arbitrary Waveform Generator) 7, analog to digital converter 5 and host computer 2.Wherein FPGA development board 1 is used for realizing hippocampus CA3 network model 15 and complete variety classes equivalent current calculating, AWG (Arbitrary Waveform Generator) 7 produces the outside stimulus signal 21 needed, analog to digital converter 5 completes the analog to digital conversion work between AWG (Arbitrary Waveform Generator) 7 and FPGA development board 1, and host computer 2 is used for designing user operation interface 14 carry out communication by usb interface module 6 and FPGA development board 1.
Described hippocampal network neuron models 8 adopt Euler method discretize in fpga chip II 4, and adopt pipelining to build, and make complicated ordinary differential equation parallel computation.Streamline thought utilizes delay register to make mathematical model be divided into several sub-calculating processes in essence, within each clock period, every sub-calculating process can carry out different neural cluster, not computing in the same time simultaneously, model data intersects in dual port RAM register 34 and preserves, and transmits with clock.In hippocampal network neuron models 8, different model parameter can produce different types of discharge mode, model parameter is inputted by host computer operation interface 14, be stored in peripheral hardware register SDRAM module 24, synchronization call during calculating, so just can realize independent neuronic parameter adjustment and Neural spike train pattern changes.
Described AWG (Arbitrary Waveform Generator) 7: AWG (Arbitrary Waveform Generator) 7 model is Agilent33220A, can produce 20MHz sine wave, square wave, produce pulse, tiltedly drape over one's shoulders, triangular wave, noise and DC waveform, output waveform is 14,50MSa/s, 64K point, meets design needs.
Described analog to digital converter: analog to digital converter 5 chip model is AD9248, AD9248 adopts multi-level differential pipelined architecture, and built-in output error correction logic, can provide 14 precision when the highest 65 MSPS data rate, and ensure without losing code in whole operating temperature range, satisfied design needs.
Described equivalent current computing module: equivalent current computing module 25 comprises carbachol equivalent current computing module 11, external electric field equivalent current computing module 12 and local field potential calculation module 13, signal 22 is selected by the outside stimulus of host computer operation interface 14, select module output signal wherein as the additional stimulation of hippocampus CA3 network model 15, thus the interior raw field of research and outside light current magnetic field are on the impact of hippocampal network dynamic perfromance.
Described host computer operation interface: writing of host computer operation interface 14 adopts LabVIEW exploitation to realize, by VISA (Virtual Instrument Software Architecture, virtual instrument software architecture) be connected with host computer, host computer LabVIEW software interface can receive by " VISA reading " dynamic data obtained from the hippocampal network model calculation of FPGA development board usb interface module 6 transmission continuously, carries out real-time waveform display at the interface of LabVIEW exploitation; Can be configured model parameter in USB control module 6 by " VISA write " input data at LabVIEW interface parameters simultaneously.It adopts graphical language to design, and performance history is intuitively convenient.The host computer operation interface 14 of analogue system can realize real-time data acquisition, waveform display and Data Analysis Services.
The FPGA analogue system of the light current Neural stem cell modulation hippocampal network rhythm and pace of moving things of the present invention is made up of FPGA development board 1, host computer 2, AD converter 5 and AWG (Arbitrary Waveform Generator) 7.Wherein FPGA development board 1 is used for realizing hippocampus CA3 network model 15 and equivalent current computing module 25, and host computer 2 is used for designing host computer operation interface 14 and realizes the communication with FPGA development board 1 by usb interface module 6.Below be illustrated:
Hippocampus CA 3 Region neural network model 15
As shown in Figure 1, hardware experiment platform is designed, the Stratix III EP3SE260F1152C4N chip that fpga chip I 3 adopts altera corp to produce, fpga chip II 4 adopts Altera low-power consumption EP4CGX150CF23C8N model fpga chip, according to the mathematical model of hippocampal network, adopt Euler method discretize and build hippocampus CA3 network model 15.Data input bus (DIB) 18 receives the data that arranged by host computer operation interface 14 in hardware system, and the critical datas such as film potential signal 16 and local field electric potential signal 26 upload in host computer 2 the real-time display and analysis of carrying out hippocampal neuronal network dynamic perfromance by data-out bus 17.
Hippocampus CA3 network model 15 is made up of hippocampal network neuron models 8, synaptic currents computing module 9, the synchronous operation under unified clock of all data paths, and according to the structure of FPGA, by the conversion of QUARTUS II software simulating hardware description language.Be illustrated in figure 2 hippocampus CA3 network model 15, be made up of hippocampal network neuron models 8 and synaptic currents computing module 9, carry out calculating by film potential signal 16 with synaptic currents signal 23 and be coupled.Its model parameter signal 29 that reception is set by host computer operation interface 14, input data bus 18 imports into.Because hippocampal network comprises excitability and inhibitory neuron two type, the change of parameter can adjust neuronic type, and the ratio of excitatory neuron and inhibitory neuron is changed, thus changes the dynamic perfromance of hippocampal network.Hippocampus CA3 network model is local field electric potential signal 26, external electric field equivalent current signal 27, carbachol equivalent current signal 28 simultaneously, as the galvanism of network model, and the response of the hippocampal network rhythm and pace of moving things under observation External Electrical Field.Model parameter signal 29 is input in hippocampus CA3 network model 15 and carries out Parameter Modulation.Calculating the film potential signal 16 produced uploads in host computer 2 by data-out bus 17, carries out waveform display and data analysis.
Be illustrated in figure 3 hippocampal network mononeuron pipeline model, it is primarily of addition, multiplication and shift register composition, and it comprises streamline P data path 30, streamline Q data path 31, two paths need keep synchronism when calculating.In computation process, its local field electric potential signal 26, external electric field equivalent current signal 27, carbachol equivalent current signal 28 as electrical field stimulation signal, and calculate film potential signal 16 by synaptic currents signal 23 and output in output data bus 17 as module output signal.Model parameter signal 29 is input in hippocampal network neuron models 8 and carries out Parameter Modulation.
Be illustrated in figure 4 synaptic currents computing module, it receives film potential signal 16 and carries out discretize calculating, is alternately stored in by film potential signal in film potential RAM 34, mirroring memory 35, and storing data is uncovered to utilize mirrored storage technology to ensure.Multiplexer 36 receives the control of multiplexer controling signal 37, alternately calls the data in storer and memory image, thus realizes the memory integrity of data.Network connection matrix 32, network synapse weight matrix 33 realize by ROM, realize synaptic currents calculate by data call, calculate gained synaptic currents signal 23 and output in hippocampal network single neuron model 8, thus realize the coupling of hippocampal network.
Be illustrated in figure 5 equivalent current computing module, be made up of carbachol equivalent current computing module 11, external electric field equivalent current computing module 12, local field potential calculation module 13, wherein said three modules are by DSP Builder programming realization, and compiling downloads in corresponding fpga chip (3).Equivalent current computing module 25 receives the outside stimulus selection signal 22 that control module 10 is transmitted, and selects wherein module to apply to stimulate to network.Wherein local field potential calculation module 13 receives film potential signal 16 and calculates, carbachol equivalent current computing module 11 is based on white Gaussian noise algorithm, external electric field equivalent current computing module 12 receives outside stimulus signal 21 and calculates, export local field electric potential signal 26, carbachol equivalent current signal 28 and external electric field equivalent current signal 27 respectively, output in hippocampus CA3 network model 15 and calculate, thus research external electric field is to the effect of hippocampal neuronal network.
Host computer operation interface 14
Host computer operation interface 14 comprises four tab: host computer operation operation interface I, host computer operation operation interface II, host computer operation operation interface III and human-machine operation operation interface IV, uses LabVIEW programming mode to design upper computer software interface 14 in host computer 2.Fpga chip I 3, fpga chip II 4 realize data communication by usb interface module 6 and host computer operation interface 14.Wherein usb interface module 6 is made up of interconnective USB interface chip 19, USB interface 20, and USB interface chip 19 is realized by Philip ISP1761 chip, and USB interface 20 selects Universal USB interface.Host computer operation interface 14 receives the data transmitted from output data bus 17 by usb interface module 6; Host computer operation interface 14 parameters inputs data in fpga chip I 3 by usb interface module 6, signal behavior is carried out to outside stimulus signal, input data in fpga chip II 4 simultaneously, carry out the parameter tuning of neuron models to realize the hippocampal network comprising excitability and inhibitory neuron under different proportion.Adopt Mutli-thread Programming Technology during LabVIEW programming, data processing and storage can be taken into account when multithreading can be implemented in graph curve display, and ensure the real-time collection and continual collection of data.
Described host computer operation interface as shown in Figure 6, it comprises tab 39, interface basic operation frame 40, additional stimulation applications 41, parameter tuning frame 42, neuron select to show 43 with waveform, waveform Figure 44 and external electric field stimulus waveform Figure 45, wherein tab 39 comprises four options: membrane potential observation, power spectrum observation, electric discharge grid figure observation are observed with local field electromotive force, complete changing interface by click option card; Interface basic operation frame 40 comprises beginning, refreshing, analysis, help, display operation, is convenient to carry out basic operation to interface; Additional stimulation applications frame 41 comprises carbachol stimulation, external electric field stimulates stimulates three parts with local field electromotive force, and control signal is transferred in the control module 10 of fpga chip I via usb interface module 6, thus selects corresponding outside stimulus; Model parameter frame 42 of adjusting can be adjusted to the parameter of neuron models, thus obtain excitability and inhibition two class neuron, by changing the number ratio of excitability and inhibitory neuron in network, thus change the dynamic perfromance of neuroid, input parameter is transferred in fpga chip II 4 by usb interface module 6 via input data bus 18, carries out parameter tuning to hippocampal network neuron models 8; Neuron is selected to show with waveform and is selected knob 43 to distinguish the corresponding sequence number of neuron on the neuronic corresponding sequence number analyzed of control inerface and waveform display interface; Oscillogram window 44 shows the oscillogram of neuron dynamic perfromance, all includes a corresponding oscillogram window in each tab; External electric field stimulus waveform figure window 45 shows the waveform that external electric field stimulates, thus for better understand external electric field corresponding to neuroid dynamic response stimulate provide convenient, platform intuitively.
FPGA emulation platform
By Verilog HDL language compilation based on the stream of neuron waterline model of discrete, fixed step size, the fixed-point number computing of module and control module, equivalent current computing module is built, through QUARTUS II software programming complete operation logic and program structure by DSP Builder; Compiling, analysis integrated, placement-and-routing, download in fpga chip I, II and run.Upload the neuron number certificate of fpga chip I, II computing generation through USB, under host computer operation interface 14 pairs of light current Neural stem cell of LabVIEW language compilation, rhythm and pace of moving things analogue system is analyzed and researched.
Claims (8)
1. the FPGA analogue system of a light current Neural stem cell modulation hippocampal network rhythm and pace of moving things, it is characterized in that: this analogue system comprises FPGA development board (1), AWG (Arbitrary Waveform Generator) (7), AD converter (5) and host computer (2), described FPGA development board (1) includes interconnective fpga chip I (3), fpga chip II (4) and usb interface module (6), also include interconnective hippocampus CA3 network model (15), synaptic currents computing module (9), control module (10), carbachol equivalent current computing module (11), external electric field equivalent current computing module (12), local field potential calculation module (13), described control module (10) adopts Verilog HDL Programming with Pascal Language, synaptic currents computing module (9), carbachol equivalent current computing module (11), external electric field equivalent current computing module (12), local field potential calculation module (13) adopts DSP Builder programming realization, and compiling downloads to fpga chip I (3), in fpga chip II (4), host computer (2) is by LabVIEW programming realization host computer operation interface (14) and by usb interface module (6) and fpga chip I (3), fpga chip II (4) carries out communication, calculate data and carry out further calculation process in host computer (2).
2. light current Neural stem cell modulates the FPGA analogue system of the hippocampal network rhythm and pace of moving things according to claim 1, it is characterized in that: described hippocampal network neuron models (8) are realized by Verilog HDL Programming with Pascal Language, and compiling downloads in fpga chip II (4), the signal that host computer operation interface (14) inputs passes to fpga chip I (3) by usb interface module (6), in fpga chip II (4), control module (10) can realize fpga chip I (3), the control that the data transmission of fpga chip II (4) and usb interface module (6) data are transmitted, the hippocampus CA3 network model (15) that realized by fpga chip II (4) is calculated the film potential signal (16) that produces and is transferred in host computer operation interface (14) by output data bus (17) and carries out waveform display and operate with Data Analysis Services.
3. light current Neural stem cell modulates the FPGA analogue system of the hippocampal network rhythm and pace of moving things according to claim 1, it is characterized in that: described usb interface module (16) is connected to form by USB interface chip (19) and USB interface (20), wherein USB interface chip (19) adopts the ISP1761E1 chip of PHILIPS Co., is responsible for the data communication between host computer (2) and FPGA development board (1).
4. light current Neural stem cell modulates the FPGA analogue system of the hippocampal network rhythm and pace of moving things according to claim 1, it is characterized in that: described AWG (Arbitrary Waveform Generator) (7) adopts Agilent33220A model, the signal of sine wave, square wave, triangular wave, noise can be produced, as hippocampal network outside stimulus.
5. light current Neural stem cell modulates the FPGA analogue system of the hippocampal network rhythm and pace of moving things according to claim 1, it is characterized in that: described AD converter (5) adopts AD9248 integrated form double-core 14 analog to digital converters, convert simulating signal to digital signal, the outside stimulus signal (21) as neuroid participates in external electric field equivalent current and calculates.
6. light current Neural stem cell modulates the FPGA analogue system of the hippocampal network rhythm and pace of moving things according to claim 1, it is characterized in that: described host computer (2) to be connected with FPGA development board (1) by USB interface (20) and to realize data communication, wherein host computer operation interface (14) receives the neuroid film potential signal (16) that output data bus (17) exports, by host computer (2) the data operation processes and displays electric discharge rhythm and pace of moving things, the important dynamic perfromance of network grid figure, arrange model parameter by host computer operation interface (14) to arrange, the operation that stimulus signal is selected, and be transferred in FPGA development board (1) by usb interface module (6), carry out systematic parameter modulation and model choice work.
7. light current Neural stem cell modulates the FPGA analogue system of the hippocampal network rhythm and pace of moving things according to claim 1, it is characterized in that: described control module (10) realizes in fpga chip I (3), as external signal control core, receive host computer operation interface (14) outside stimulus that inputs and select signal (22), output to carbachol equivalent current computing module (11), external electric field equivalent current computing module (12), local field potential calculation module (13) enable port carry out outside stimulus signal behavior.
8. light current Neural stem cell modulates the FPGA analogue system of the hippocampal network rhythm and pace of moving things according to claim 1, it is characterized in that: described synaptic currents computing module (9) realizes in fpga chip II (4) based on DSP Builder development environment, receive film potential signal (16) information that hippocampal network neuron models (8) calculates, coupling calculating generation synaptic currents signal (23) through synaptic currents returns in hippocampal network neuron models (8), thus completes being of coupled connections in network between each neuron.
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