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Brief Communications

Deficit in Long-Term Synaptic Plasticity Is Rescued by a Computationally Predicted Stimulus Protocol

Rong-Yu Liu, Yili Zhang, Douglas A. Baxter, Paul Smolen, Leonard J. Cleary and John H. Byrne
Journal of Neuroscience 17 April 2013, 33 (16) 6944-6949; DOI: https://doi.org/10.1523/JNEUROSCI.0643-13.2013
Rong-Yu Liu
Department of Neurobiology and Anatomy, W. M. Keck Center for the Neurobiology of Learning and Memory, The University of Texas Medical School at Houston, Houston, Texas 77030
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Yili Zhang
Department of Neurobiology and Anatomy, W. M. Keck Center for the Neurobiology of Learning and Memory, The University of Texas Medical School at Houston, Houston, Texas 77030
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Douglas A. Baxter
Department of Neurobiology and Anatomy, W. M. Keck Center for the Neurobiology of Learning and Memory, The University of Texas Medical School at Houston, Houston, Texas 77030
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Paul Smolen
Department of Neurobiology and Anatomy, W. M. Keck Center for the Neurobiology of Learning and Memory, The University of Texas Medical School at Houston, Houston, Texas 77030
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Leonard J. Cleary
Department of Neurobiology and Anatomy, W. M. Keck Center for the Neurobiology of Learning and Memory, The University of Texas Medical School at Houston, Houston, Texas 77030
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John H. Byrne
Department of Neurobiology and Anatomy, W. M. Keck Center for the Neurobiology of Learning and Memory, The University of Texas Medical School at Houston, Houston, Texas 77030
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Abstract

Mutations in the gene encoding CREB-binding protein (CBP) cause deficits in long-term plasticity, learning, and memory. Here, long-term synaptic facilitation (LTF) at Aplysia sensorimotor synapses in cell culture was used as a model system to investigate methods for overcoming deficits in LTF produced by a CBP knockdown. Injecting CBP–siRNA into individual sensory neurons reduced CBP levels and impaired LTF produced by a standard protocol of five 5-min pulses of serotonin (5-HT) delivered at 20 min interstimulus intervals. A computational model, which simulated molecular processes underlying LTF induction, predicted a rescue protocol of five pulses of 5-HT at non-uniform interstimulus intervals that overcame the consequences of reduced CBP and restored LTF. These results suggest that complementary empirical and computational studies can identify methods for ameliorating impairments of learning attributable to molecular lesions.

Introduction

CREB-binding protein (CBP) is an essential coactivator for numerous transcription factors. It has a histone acetyltransferase (HAT) domain and interaction domains for different transcription factors, including phosphorylated CREB (pCREB) (Kalkhoven, 2004). Mutations of cbp that reduce activity of the HAT domain, and thus its ability to coactivate transcription, commonly result in Rubinstein–Taybi syndrome (RTS) (Rouaux et al., 2004; Hallam and Bourtchouladze, 2006). Mouse cbp+/− models exhibit impaired long-term potentiation (LTP) and long-term memory (LTM) (Alarcón et al., 2004; Rouaux et al., 2004; Barco, 2007). Previously, we used a mathematical model of molecular processes that underlie serotonin (5-HT)-induced long-term facilitation (LTF), a form of synaptic plasticity that correlates with LTM (Frost et al., 1985; Cleary et al., 1998), to identify a training protocol that enhanced LTF and LTM in normal animals (Zhang et al., 2011). Here, we investigated the ability of siRNA injections into individual neurons to reduce CBP levels in cultured sensory neurons (SNs) from Aplysia, the consequences of reducing CBP levels for LTF at sensorimotor synapses, and whether a computational model can predict a training protocol that overcomes deficits in CBP to restore long-term synaptic plasticity.

Materials and Methods

Animals and cell cultures.

All experiments used primary cell cultures of identified cells from the marine mollusk Aplysia. Isolated SNs or sensory neuron–motor neuron (SN–MN) cocultures were prepared according to conventional procedures (Zhang et al., 2011). Dishes of SN cultures were plated with 5–10 SNs. Dishes of SN–MN cocultures were plated with a single SN and a single L7 MN.

siRNA knockdown of CBP.

Before siRNA injection, cultures or cocultures were allowed to grow for 2–3 d at 18°C. siRNA (5 μm final concentration) was injected into the cytoplasm of SNs following established procedures (Liu et al., 2011). Cultures and cocultures were allowed to grow for another 96 h after siRNA injection. SN cultures were then processed for immunofluorescence, and cocultures were used for electrophysiological study.

CBP levels were measured using an anti-CBP antibody developed by Arias et al. (1994), designed to target the binding site for vertebrate pCREB (Chrivia et al., 1993). An 80% identity exists between the mouse brain pCREB binding sequence and the predicted sequence of CBP in Aplysia (Guan et al., 2002). To assess the usefulness of this antibody, nuclear extracts of Aplysia nervous system were prepared following the Invitrogen protocol. Western blot analysis following our established procedures (Liu et al., 2008) indicated that the antibody recognized a single band with a molecular weight appropriate for Aplysia CBP, ∼250 kDa (Arias et al., 1994; Guan et al., 2002) (Fig. 1A1). For immunofluorescence, SNs were injected with control siRNA (Con-siRNA) or CBP–siRNA 96 h before fixation. Cells were incubated with anti-CBP antibody (1:500), followed by incubation with secondary antibody. The intensity of staining was quantitated in images obtained with a Carl Zeiss LSM510 confocal microscope using a 63× oil-immersion lens as described previously (Liu et al., 2011) (Fig. 1A2). These experiments were done in a blind manner in that the investigator analyzing the images was unaware whether the neurons were injected with Con-siRNA or CBP–siRNA.

Electrophysiology.

Cell culturing, treatment, and electrophysiological procedures and criteria for accepting viable preparations were identical to those of Zhang et al. (2011). Statistical analyses (Kruskal–Wallis one-way ANOVA on ranks) indicated that the pretest scores for each group were not significantly different (Fig. 1B2, H = 7.428, df = 3; see Fig. 4B, H = 2.82, df = 2). Therefore, for statistical analysis, the amplitudes of the EPSPs at 24 and 48 h after treatment were normalized to the EPSPs measured before treatment (i.e., post/pre). This experiment was done in a blind manner in that the investigator performing the electrophysiology was unaware whether the neurons were injected with Con-siRNA or CBP–siRNA. In addition, different investigators performed the 5-HT treatments and the electrophysiology.

Computational model.

The model (see Fig. 2) was adapted from a previous model (Zhang et al., 2011) that described activation of protein kinase A (PKA) and the ERK isoform(s) of mitogen-activated protein kinase. Descriptions of these processes remained as in the study by Zhang et al. (2011). That model was extended to include the phosphorylation of CREB1, CREB2, and synthesis of CCAAT/enhancer-binding protein (C/EBP) (Eqs. 1–7). pCREB1 in conjunction with CBP activates transcription of c/ebp (Guan et al., 2002) and is required for LTF (Bartsch et al., 1998). Conversely, CREB2 represses transcription of c/ebp, but ERK-mediated phosphorylation of CREB2 relieves this repression (Bartsch et al., 1995; Guan et al., 2002). Phosphorylation of C/EBP by ERK decreases its degradation rate (Yamamoto et al., 1999). We assumed that new synthesis of CREB1 and CREB2 had limited effects on the induction of LTF. Therefore, the total amounts of CREB1 and CREB2 were conserved.

The equations for CREB1 were as follows: Embedded Image Embedded Image The parameter values were kPKA,CREB1 = 0.15 μm−1min−1, kpphos1 = 0.05 min−1, and [CREB1]total = 0.05 μm.

The dynamics of PKA and ERK were identical to the previous model (Zhang et al., 2011). In that model and its present extension, basal levels of PKA and ERK activity, before stimulus, were set to zero, as was the basal level of C/EBP. Basal levels of pCREB1 and pCREB2, which were dependent on basal PKA and ERK activities, were also zero. The equations for CREB2 were as follows: Embedded Image Embedded Image The parameter values were kERK,CREB2 = 3.5 μm−1min−1, kpphos2 = 0.5 min−1, and [CREB2]total = 0.05 μm.

For simplicity, induction of c/ebp was modeled as an increase in the synthesis of C/EBP. The following three equations describe C/EBP dynamics. In these equations, C/EBP is denoted “CEBP”: Embedded Image Embedded Image Embedded Image The parameter values were kd,CEBP = 0.075 min−1, kERK,CEBP = 0.25 μm−1min−1, kpphos3 = 0.5 min−1, vmax_synthesis,CEBP = 20 μm/min, K5 = 0.009 μm, K6 = 0.003 μm, kd,pCEBP = 0.0015 min−1, and KCBP = 20 μm.

Fourth-order Runge–Kutta integration was used for integration of differential equations, with a time step of 3 s. The model was programmed in XPP version 6.1 (www.math.pitt.edu/∼bard/xpp/xpp.html). Source codes are available on request.

The parameters were adjusted by trial and error so that (1) CREB1 and CREB2 were transiently phosphorylated (Hagiwara et al., 1993; Bartsch et al., 1995, 1998; McLean et al., 1999), (2) the increase in C/EBP expression occurred within 15 min after 5-HT treatment (Alberini et al., 1994), and (3) in the absence of ERK activity, C/EBP was degraded within 2 h (Yamamoto et al., 1999).

In our previous model (Zhang et al., 2011), the output was a phenomenological variable termed “inducer,” which represented the convergence of the PKA and ERK pathways onto an undefined molecular process necessary for LTF. In the present model, inducer was replaced by pC/EBP as the output, representing a point of convergence among several second-messenger and transcriptional pathways. The enhanced protocol of Zhang et al. (2011) increased the peak level of inducer by ∼50%. Thus, in the extended model, the parameters governing C/EBP expression and phosphorylation were adjusted such that the enhanced protocol produced a peak pC/EBP level ∼50% greater than that in the standard protocol.

Results

siRNA decreased CBP levels and LTF

CBP protein levels were assayed by immunofluorescence 96 h after injection of either CBP–siRNA (n = 11) or scrambled-siRNA (Con-siRNA) (n = 12). CBP levels in nuclei of SNs injected with CBP–siRNA averaged 35% less than those in Con-siRNA-injected SNs (Fig. 1A3, Mann–Whitney rank sum test, U11,12 = 16, p = 0.002). We next examined the effects of CBP knockdown on LTF using four groups of SN–MN cocultures (Fig. 1B). SNs were injected with either CBP–siRNA or Con-siRNA. Ninety-six hours after injection, cultures were treated with five 5-min pulses of either 5-HT (CBP–siRNA + 5-HT, n = 9; Con-siRNA + 5-HT, n = 7) or control saline [CBP–siRNA + vehicle (Veh), n = 4; Con-siRNA + Veh, n = 4], which were delivered with a uniform interstimulus interval (ISI) of 20 min. This 5-HT treatment has been commonly used (Montarolo et al., 1986) and was termed the standard protocol. In each group, EPSPs were measured immediately before the standard protocol (pretest) and 24 and 48 h after treatment (posttest). Statistical analyses (two-way, repeated-measures ANOVA) indicated significant overall differences among the treatment groups (F(3,20) = 5.712, p = 0.005). The knockdown of CBP attenuated LTF. Post hoc comparisons (Student–Newman–Keuls tests) revealed a significant difference between the Con-siRNA + 5-HT group and the other three groups (Con-siRNA + 5-HT vs Con-siRNA + Veh, q2 = 4.448, p = 0.014; Con-siRNA + 5-HT vs CBP–siRNA + Veh, q2 = 4.548, p = 0.021; Con-siRNA + 5-HT vs CBP–siRNA + 5-HT, q2 = 4.776, p = 0.003). Moreover, no significant differences were observed among the Con-siRNA + Veh, CBP–siRNA + Veh, and CBP–siRNA + 5-HT groups (Con-siRNA + Veh vs CBP–siRNA + Veh, q2 = 0.088; Con-siRNA + Veh vs CBP–siRNA + 5-HT, q2 = 0.083; CBP–siRNA + Veh vs CBP–siRNA + 5-HT, q2 = 0.097).

Figure 1.
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Figure 1.

CBP–siRNA reduced the nuclear levels of CBP and impaired LTF. A1, Western blot analysis of nuclear extracts from Aplysia CNS revealed a single band with a molecular weight appropriate for CBP. A2, Representative confocal images of CBP immunofluorescence in SNs 96 h after injection with either Con-siRNA or CBP–siRNA. Fluorescein dye was coinjected to verify that SN cytoplasm and processes (but not the nucleus) were filled. Scale bar, 20 μm. A3, Summary data. CBP levels in the nucleus of SNs were significantly reduced 96 h after injection with CBP–siRNA compared with SNs injected with Con-siRNA. B1, Representative EPSPs recorded immediately before (Pretest) and 24 and 48 h after (Post-Test) the standard protocol. Dashed lines represent the amplitude of the pretest EPSP. B2, Summary data. Synaptic plasticity was measured as the ratio of posttest to pretest EPSPs (post/pre). Significant differences among treatment groups are indicated by *p < 0.05.

The attenuation of LTF by the knockdown of CBP was not associated with differences among the pretest EPSPs of the four groups. A separate series of experiments examined the potential effects of knocking down CBP on short-term synaptic facilitation (STF), which was induced by a single, 5-min pulse of 5-HT 96 h after CBP–siRNA injection. Comparison of STF in cells injected with Con-siRNA (n = 6) versus cells injected with CBP–siRNA (n = 6) revealed no differences in STF (STF in Con-siRNA group = 123 ± 7% of pretest vs STF in CBP–siRNA group = 135 ± 14% of pretest; t(10) = 0.463). These results indicated that CBP knockdown did not affect basal synaptic transmission or short-term plasticity.

Prediction of a stimulus protocol to rescue LTF

To predict a stimulus protocol that could rescue LTF, the model of Zhang et al. (2011) was extended to describe phosphorylation of the transcription factors CREB1, CREB2, and C/EBP and induction of c/ebp (Fig. 2A; Eqs. 1–7). Induction of c/ebp and phosphorylation of C/EBP by ERK are both necessary for LTF (Alberini et al., 1994; Yamamoto et al., 1999). Therefore, the peak level of pC/EBP was taken as the output of the model. The simulated response to a standard protocol with control parameter values is illustrated in Figure 2B. Reduction of CBP by 35% (equivalent to the average empirical siRNA-mediated knockdown) reduced pC/EBP (Fig. 2C), which agreed with the empirical attenuation of LTF.

Figure 2.
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Figure 2.

Model of a molecular network necessary for LTF. A, Gray shading indicates components of the model originally developed by Zhang et al. (2011). The model was extended by incorporating CREB1, CREB2, C/EBP, and CBP. Phosphorylation of CREB1 and its subsequent binding to CBP were assumed necessary for induction of c/ebp. Unphosphorylated CREB2 repressed c/ebp. Phosphorylation of CREB2 removed this repression. Arrows and circles indicate positive and negative regulation of transcription, respectively. B, C, Simulations of the standard protocol with normal CBP levels (B) and with the CBP knockdown (C). The rescue protocol with the CBP knockdown boosted pC/EBP levels beyond control levels (dashed/dotted line) (D).

Following our previous strategy (Zhang et al., 2011), we sought a stimulus protocol that would compensate for the reduced CBP levels and restore peak pC/EBP to or above the peak produced by the standard protocol with normal CBP levels. Each protocol included five 5-min 5-HT stimuli, but the ISIs were chosen as multiples of 5 min, in the range from 5–50 min. Combining all of these permutations yields 104 total protocols, one of which was the original standard protocol. After simulated CBP knockdown, the 104 protocols were ranked according to the peak levels of pC/EBP they elicited. Of these 104 protocols, 421 restored the simulated peak level of pC/EBP to or above the level without C/EBP knockdown. One was the previously described enhanced protocol (Zhang et al., 2011). These protocols have a general property that the durations of the first two ISIs are ≤15 min. These relatively brief ISIs induced an early activation of ERK, which tended to maximize the overlap of the elevation in pCREB2 levels with that of pCREB1 levels. Maximizing this overlap, in turn, strongly induced C/EBP synthesis and coincident C/EBP phosphorylation, yielding high peak pC/EBP. Among these 421 potential rescue protocols, the protocol that produced the highest peak pC/EBP was selected for additional analysis in empirical studies (Figs. 2D, 3E). This rescue protocol had ISIs of 10, 10, 20, and 10 min (Figs. 2D, 3E).

Figure 3.
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Figure 3.

Simulating CBP knockdown and rescue. In A–E, the black traces illustrate the responses of the model to the standard protocol with control levels of CBP, whereas red traces illustrate the responses to the rescue protocol after knockdown of CBP. A1, A2, Time courses of PKA activity (PKAC). B, Time courses of ERK activity (pERK). C, Time courses of active CREB1 (pCREB1). D, Time courses of inactive CREB2 (pCREB2). E, Time courses of active C/EBP (pC/EBP). The black solid and black dashed time courses are for the standard protocol with and without CBP knockdown, respectively. A–D do not illustrate responses to the CBP knockdown because, in the model, CBP only affects the expression of C/EBP and not the dynamics of phosphorylation of PKA, ERK, CREB1, or CREB2. F, The 5-HT pulses and ISIs for the standard protocol (black) and rescue protocol (red). The standard protocol had uniform ISIs of 20 min, whereas the rescue protocol had non-uniform ISIs of 10, 10, 20, and 10 min.

In Figure 3A–E, the black traces illustrate the response of the model to the standard protocol with control levels of CBP (solid lines) and CBP knockdown (dashed line), whereas the red traces illustrate the response of the model to the rescue protocol after knockdown of CBP. The ISIs of the standard (black trace) and rescue (red trace) protocols are illustrated in F. Each 5-HT pulse briefly activated PKA (A, increased PKAC). Accumulation of active ERK (pERK) was delayed (B; as discussed by Zhang et al., 2011). pCREB1, which was phosphorylated by PKA, accumulated rapidly (C), whereas accumulation of pCREB2, which was phosphorylated by ERK, was delayed (D). Equations 5 and 6 describe regulation of the synthesis of C/EBP by CBP/pCREB1 and CREB2. To induce C/EBP synthesis, the stimulus-induced increases in pCREB1 and pCREB2 must overlap. During overlap, pCREB1 is available to activate c/ebp expression during the same times at which CREB2 is primarily converted to pCREB2, relieving its repression of c/ebp expression. By Equation 6, both activation and relief from repression are needed for high levels of C/EBP synthesis to occur. E illustrates the time course of pC/EBP, which is primarily driven by increased synthesis of C/EBP. The solid black trace is with normal [CBP], and the dashed trace is with [CBP] reduced by 35%. The red traces in A–E show, in contrast, the response to the rescue protocol with [CBP] reduced by 35%. The non-uniform ISIs resulted in greater activation of PKA within the first 40 min and consequently more rapid accumulation of pCREB1. Activation of ERK was similarly more rapid. Accumulation of pCREB2 coincided with a second surge in PKA activity (attributable to pulses 4 and 5 of the rescue protocol), which in turn elevated pCREB1. In this way, the rescue protocol acted to maximize the overlap of pCREB2 and pCREB1, the consequent synthesis of C/EBP, and the peak of pC/EBP. Thus, simulations predicted that the rescue protocol would restore and possibly enhance LTF despite the CBP knockdown.

Validation of the rescue protocol in vitro

Three groups of SN–MN cocultures were treated with 5-HT. In group 1, SNs were injected with CBP–siRNA and treated with the standard protocol (CBP–siRNA + standard, n = 7) to assess the knockdown. In group 2, SNs were injected with CBP–siRNA but treated with the rescue protocol (CBP–siRNA + rescue, n = 7) to assess the effectiveness of the rescue protocol. In group 3, SNs were injected with Con-siRNA and treated with the standard protocol (Con-siRNA + standard, n = 8) to assess normal LTF. As before, siRNA was injected 96 h before 5-HT treatment. EPSPs were measured immediately before (pretest) 5-HT treatment and 24 and 48 h later (posttest) (Fig. 4A). A two-way ANOVA (Fig. 4B) indicated significant overall differences among the groups (F(2,19) = 7.143, p = 0.005). Replicating the knockdown results of Figure 1, LTF in the CBP–siRNA + standard group was significantly less than that in the Con-siRNA + standard group (q2 = 3,511, p = 0.023). Importantly, LTF in the CBP–siRNA + rescue group was significantly greater than in the CBP–siRNA + standard group (q2 = 5.265, p = 0.004). Moreover, no significant difference in LTF was observed between the Con-siRNA + standard and CBP–siRNA + rescue groups (q2 = 1.927). Therefore, the rescue protocol compensated for the deficit of CBP and restored LTF.

Figure 4.
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Figure 4.

Rescue protocol compensated for the CBP knockdown. A, Representative EPSPs recorded immediately before (Pretest) and 24 and 48 h after (Post-Test) either the standard or rescue protocol. SNs were injected with either Con-siRNA or CBP–siRNA 96 h before the pretest and treatment with 5-HT. Dashed lines represent the amplitude of the pretest EPSP. B, Summary data. Significant differences among treatment groups are indicated by *p < 0.05 and **p < 0.005.

Discussion

This study provided evidence that a detailed understanding of biochemical signaling pathways underlying synaptic plasticity, as represented in a computational model, facilitated the development of a training protocol that rescued deficits resulting from a molecular lesion. The rescue protocol with the highest simulated efficacy was validated empirically. The model predicted numerous other rescue protocols with different ISI patterns. This potential diversity bears a similarity to a previous modeling study of neuronal activity patterns in the stomatogastric ganglion, which demonstrated that numerous combinations of parameter values can simulate a specific pyloric rhythm (Prinz et al., 2004). However, in the present study, the goal was to find stimulus protocols that restored or improved the function of a molecular network in the presence of a molecular lesion. We believe that this methodology, demonstrated here, could, in principle, guide the development of therapeutic interventions. For example, RTS leads to serious cognitive deficits. Candidate pharmacotherapies for this disorder have been tested in CBP-deficient mouse models. Phosphodiesterase inhibitors and histone deacetylase inhibitors were found to reverse deficits in LTP and LTM (Bourtchouladze et al., 2003; Alarcón et al., 2004). This strategy is promising. However, drugs often have undesirable side effects that can limit their therapeutic value. Therefore, we believe that a complementary strategy of optimizing durations and intervals of training, based in part on simulations of signaling pathways that underlie LTP, may help to improve clinical outcomes and learning for humans affected with RTS or other molecular lesions that impair learning and memory.

A detailed understanding of the signaling pathways that underlie mechanisms of LTM and of the molecular lesions that underlie memory deficits are both prerequisites for applying this optimization strategy. A limitation is the currently incomplete understanding of these processes. Moreover, optimal training protocols will likely differ depending on the molecular lesion(s). With knowledge of the molecular lesion and a detailed understanding of the signaling pathways that underlie a form of memory for which a deficit exists, it may be possible to develop a model and evaluate many thousands of training protocols, a process that is impractical using empirical studies alone. Considering the many different vertebrate memory systems, this may seem like a daunting task. However, molecular mechanisms of memory are highly conserved. For example, mammalian LTP requires the PKA and ERK signaling pathways (English and Sweatt, 1997; Abel and Nguyen, 2008), and CREB activation and CBP function are required for at least some forms of mammalian LTP and learning (Pittenger et al., 2002; Peters et al., 2009). These pathways are conserved in Aplysia, Drosophila, and mammals. Progress is being made in developing models of the molecular pathways that underlie mammalian LTP and learning (Bhalla and Iyengar, 1999; Smolen et al., 2006). Therefore, it is likely that progress in many systems will facilitate development of a predictive model describing human LTP and learning.

In addition, models might help design therapies that optimize the combination of training protocols with drug treatments. Combining these two could enhance the effectiveness of the latter while compensating, at least in part, for any limitations or undesirable side effects of drugs. These two approaches are likely to be more effective together than separately and may have broad generality in treating individuals with learning and memory deficits.

Footnotes

  • This study was supported by National Institutes of Health Grants NS019895 and NS073974. We thank M. R. Montminy (Salk Institute for Biological Sciences) for his generous gift of CBP antibody, J. Liu and E. Kartikaningrum for preparing cultures, and L. Zhou for assistance with 5-HT treatment.

  • Correspondence should be addressed to Dr. John H. Byrne, Department of Neurobiology and Anatomy, W. M. Keck Center for the Neurobiology of Learning and Memory, The University of Texas Medical School at Houston, 6431 Fannin Street, Suite MSB 7.046, Houston, TX 77030. john.h.byrne{at}uth.tmc.edu

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The Journal of Neuroscience: 33 (16)
Journal of Neuroscience
Vol. 33, Issue 16
17 Apr 2013
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Deficit in Long-Term Synaptic Plasticity Is Rescued by a Computationally Predicted Stimulus Protocol
Rong-Yu Liu, Yili Zhang, Douglas A. Baxter, Paul Smolen, Leonard J. Cleary, John H. Byrne
Journal of Neuroscience 17 April 2013, 33 (16) 6944-6949; DOI: 10.1523/JNEUROSCI.0643-13.2013

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Deficit in Long-Term Synaptic Plasticity Is Rescued by a Computationally Predicted Stimulus Protocol
Rong-Yu Liu, Yili Zhang, Douglas A. Baxter, Paul Smolen, Leonard J. Cleary, John H. Byrne
Journal of Neuroscience 17 April 2013, 33 (16) 6944-6949; DOI: 10.1523/JNEUROSCI.0643-13.2013
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