Eletroni Model of glutamate reeptors Tiger Wutu Lin June 12, 2010 Abstrat It has long been known that the spiking dynamis of a neuron an be mimiked by some simple iruit elements (Hodgkin and Huxley, 1990). In this projet we propose a harging-disharging neuron whose dynami an be ontrolled by two inputs. One input is used to resemble the glutamate release and the other works as a M g 2+ like hannel bloker. In general the iruit is analogous to the NMDA reeptors. 1 Introdution Neuron models, whih is still under intensive study, an be dated bak to the seminar work of Hodgkin and Huxley in 1952 (Hodgkin and Huxley, 1952a,b,). They shown that the spike ativity of a neuron an be modeled by a iruit that only have very basi eletroni elements. Remarkably, eah iruit element, suh as the resistor, the apaitor and the voltage soure has a biophysial ounterpart in the biologial neurons. With the fast development of the silion industry in the past few deades, eletroni pioneers, suh as Carver Mead, draw their attention to building eletroni iruits that an simulate ertain neural funtions (Mead, 1989) . Experimental studies (Shi et al., 1999) have shown that NMDA reeptors signiantly ontribute to the synapti plastiity and people (Morris et al., 1990) speulate that it is important for memory and learning. Thus, an eletroni iruit that ould resemble NMDA reeptors an be potentially useful in ahieving ertain brain funtions. In this projet, we propose a simple design for NMDA reeptors that is modulated by an input that represents glutamate release and a voltage threshold that represents the voltage-gated M g 2+ bloker. 1 2 Methods Fig.1 NMDA iruit design. Synapti iruit designs have been proposed in the past (Mead, 1989) . In this projet, our design is based on the harge-disharge synapti design that was proposed by Rashe and Douglas (1999) . Shown in gure 1, our iruit ould be separated into three parts by its funtions. In the membrane segment, a apaitor C1 ats as the ell membrane. Instead of having a negative voltage potential as in neurons, here, our membrane holds a positive potential beause this is easier to implement at the iruit level by onneting to a voltage soure at V2. The two transistor M1 and M2 at as a urrent mirror to repliate the urrent through the membrane. Although this urrent mirror is not neessary in the ontext of this projet, we expet it to be useful in future large sale designs. This repliated urrent an be used as a referene for glutamate release at the presynapse when neurons are onneted together. In the M g 2+ segment, we used a dierential pair as the voltage gate. The urrent ow through the ommon soure of M4 and M5 depends on the gate voltage of M4 and M5. We note here that the gate voltage of M5 is the membrane voltage. If this voltage is higher than the gate voltage of M4, i.e. the threshold voltage, the drain-soure resistane ( rds ) of M5 will be negligible and we an think of M5 as a short iruit. On the other hand, if the membrane voltage is lower than the threshold voltage, the resistane between the drain and soure of M5 will be very large and M5 ould be approximated as an open iruit. 2 Lastly, for the glutamate segment, we used a periodi square funtion to represent the glutamate release from the presynapse. Sine the square wave is onneted to the gate of transistor M3, a high voltage whih represents high glutamate onentration, will redue the drain-soure resistane ( rds ) of M3. In other words, in the presene of glutamate, M3 is approximately a short iruit. So, there are mainly two stages for the iruit. If the membrane voltage is above the threshold voltage, then sine both M5 and M3 ould be regarded as short iruits, the membrane will disharge. This ould be onsidered as the open state of the NMDA hannel. At ertain point of the disharge, the membrane voltage will drop down to a value that is lower than the threshold. Then M5 will beome an open iruit as if the NMDA hannel is losed. Also, if there is no glutamate signal, M3 has high resistane. Then the membrane an not disharge. 3 Results To validate our iruit design, we simulated the dynamis of the iruit in software with dierent threshold voltages. NMDA Simulation 1.99 1.8V 1.9V 2.0V 2.1V 1.98 V (V) 1.97 1.96 1.95 1.94 1.93 Fig.2 0 0.005 0.01 0.015 0.02 0.025 Time (sec) 0.03 0.035 0.04 Simulated spike trains with dierent threshold voltages. 3 0.045 0.05 As shown in gure 2, due to the harging and disharging mehanisms mentioned in the method setion, the iruit an generate spike trains. Also in this gure, we show that the spike amplitude depends on the threshold voltage. After putting suh iruit into reality, we see similar spike patterns as the simulation results in gure 2. In order to have a more quantitative view about the resemblane of our iruit to the biology NMDA reeptors, we studied how the spike hanges with respet to two inputs. One is the hange of the spikes due to the amount of glutamate release. The other is the variane of the spikes with respet to the threshold voltage. We argue that these two properties are harateristi for NMDA reeptors and are ritial for desribing the dynamis of the NMDA reeptors. Also real physiology experiments have been done on similar tasks and an be used as a referene to evaluate our design (Jahr and Stevens, 1990a; Popesu et al., 2004) . Glutamate Release vs. Spike Amplitude 0.1 Spike Amplitude (V) 0.08 0.06 0.04 0.02 0 0 Fig.3 1 2 3 4 Glutamate Release (V) 5 6 Spike amplitude as a funtion of the glutamate release level. As shown in gure 3, the spike amplitude has a nonlinear relationship to the onentration of the glutamate release and this nonlinear pattern is onurred by experimental results (Popesu et al., 2004). Tiny amount of glutamate an not trigger any hannel open. On the other hand, if the glutamate is above ertain level, all the hannel will be open and the urve is saturated. 4 Threshold Voltage vs. Spike Amplitude 0.1 Spike Amplitude (V) 0.08 0.06 0.04 0.02 0 −0.5 Fig.4 0 0.5 1 1.5 2 Threshold Voltage (V) 2.5 3 Spike amplitude as a funtion of the threshold voltage. Shown in gure 4, we also investigated the eet of the threshold voltage to the spike amplitude. The nonlinear pattern and rational we propose here has also been raised before in experimental and theoretial studies (Jahr and Stevens, 1990a,b) . A very low or zero threshold voltage is analogous to a M g 2+ free extraellular medium and this will ause the hannel to be open all the time. Shown in the plot, this is onrmed by no spikes in our iruit system sine the membrane is disharged all the time. With the M g 2+ level inreasing, the NMDA hannel will have a higher hane of been bloked by it and less disharge for the membrane. This is shown in the graph as an rising spike amplitude with respet to the inreasing M g 2+ level. Eventually, we are expeting to see the spike amplitude be stable at ertain value when the M g 2+ level is high enough, beause at this time, the NMDA hannel should be almost bloked by the M g 2+ ions. But on the urve we see a small drop down of the voltage and this puzzle is still under study. 4 Disussion To onlude, our projet was initially motivated by the idea that biophysial models of neurons ould be repliated on eletroni iruit board. In this projet, we nished design of a NMDA reeptor that is regulated by its threshold voltage and glutamate release level. As was briey mentioned in this report, the urrent mirror gives our iruit the ability to be onneted as a network. We envision 5 this to be a valuable design and future works an put this iruit in parallel to ahieve ertain network funtions suh as Hebbian learning. Referenes Hodgkin, A. and Huxley, A. (1952a). Currents arried by sodium and potassium ions through the membrane of the giant axon of Loligo. The Journal of physiology, 116(4):449. Hodgkin, A. and Huxley, A. (1952b). The omponents of membrane ondutane in the giant axon of Loligo. The Journal of physiology, 116(4):473. Hodgkin, A. and Huxley, A. (1952). The dual eet of membrane potential on sodium ondutane in the giant axon of Loligo. The Journal of physiology, 116(4):497. Hodgkin, A. and Huxley, A. (1990). A quantitative desription of membrane urrent and its appliation to ondution and exitation in nerve. Bulletin of Mathematial Biology, 52(1):2571. Jahr, C. and Stevens, C. (1990a). A quantitative desription of NMDA reeptorhannel kineti behavior. Journal of Neurosiene, 10(6):1830. Jahr, C. and Stevens, C. (1990b). Voltage dependene of NMDA-ativated marosopi ondutanes predited by single-hannel kinetis. Journal of Neurosiene, 10(9):3178. Mead, C. (1989). Analog VLSI and neural systems. Publishing Co., In. Boston, MA, USA, page 371. 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