On short timescales, the brain represents, transmits, and processes information through the electrical activity of its neurons. On long timescales, the brain stores information in the strength of the synaptic connections between its neurons. This thesis examines the surprising implications of two separate, well documented microscopic processes — the stochastic gating of ion channels and the plasticity of dendritic spines — for neural information processing and storage. Electrical activity in neurons is mediated by many small membrane proteins called ion channels. Although single ion channels are known to open and close stochastically, the macroscopic behaviour of populations of ion channels are often approximated as deterministic. This is based on the assumption that the intrinsic noise introduced by stochastic ion channel gating is so weak as to be negligible. In this study we take advantage of newly developed efficient computer simulation methods to examine cases where this assumption breaks down. We find that ion channel noise can mediate spontaneous action potential firing in small nerve fibres, and explore its possible implications for neuropathic pain disorders of peripheral nerves. We then characterise the magnitude of ion channel noise for single neurons in the central nervous system, and demonstrate through simulation that channel noise is sufficient to corrupt synaptic integration, spike timing and spike reliability in dendritic neurons. The second topic concerns neural information storage. Learning and memory in the brain has long been believed to be mediated by changes in the strengths of synaptic connections between neurons — a phenomenon termed synaptic plasticity. Most excitatory synapses in the brain are hosted on small membrane structures called dendritic spines, and plasticity of these synapses is dependent on calcium concentration changes within the dendritic spine. In the last decade, it has become clear that spines are highly dynamic structures that appear and disappear, and can shrink and enlarge on rapid timescales. It is also clear that this spine structural plasticity is intimately linked to synaptic plasticity. Small spines host weak synapses, and large spines host strong synapses. Because spine size is one factor which determines synaptic calcium concentration, it is likely that spine structural plasticity influences the rules of synaptic plasticity. We theoretically study the consequences of this observation, and find that different spine-size to synaptic-strength relationships can lead to qualitative differences in long-term synaptic strength dynamics and information storage. This novel theory unifies much existing disparate data, including the unimodal distribution of synaptic strength, the saturation of synaptic plasticity, and the stability of strong synapses.

Learning and memory storage is believed to occur at the synaptic connections between neurons. During the last decades it has become clear that synapses are plastic at short and long time scales. Furthermore, experiments have shown that short and long-term synaptic plasticity interact. It remains unclear, however, how is this interaction implemented and how does it impact information processing and learning in cortical networks. In this thesis I present results on the mechanisms and function of this interaction. On the mechanistic level this form of plasticity is known to rely on a presynaptic coincidence mechanism, which requires the activation of presynaptic NMDA receptors (preNMDARs). In a collaborative effort I used mathematical modeling combined with experiments to show that preNMDARs reroute information flow in local circuits during high-frequency firing, by specifically impacting frequency-dependent disynaptic inhibition mediated by Martinotti cells. In order to accurately characterize how do preNMDARs regulate the release machinery, I developed a probabilistic inference framework that provides a distribution over the relevant parameter space, rather than simple point estimates. This approach allowed me to propose better experimental protocols for short-term plasticity inference and to reveal connection-specific synaptic dynamics in the layer-5 canonical microcircuit. This framework was then extended to infer short-term plasticity from preNMDAR pharmacological blockade data. The results show that preNMDARs up-regulate the baseline release probability and the depression time-constant, which is consistent with experimental analysis and that their impact appears to be connection-specific. I also show that a preNMDAR phenomenological model captures the frequency-dependence activation of preNMDARs. Furthermore, preNMDARs increase the signal-to-noise ratio of synaptic responses. These results show that preNMDARs specifically up-regulate high frequency synaptic information transmission. Finally, I introduce a pre- and postsynaptic unified mathematical model of spike-timing- dependent synaptic plasticity. I show that this unified model captures a wide range of short-term and long-term synaptic plasticity data. Functionally, I demonstrate that this segregation into pre- and postsynaptic factors explains some observations on receptive field development and enable rapid relearning of previously stored information, in keeping with Ebbinghaus’s memory savings theory.

Abstract The synaptic input received by neurons in cortical circuits is in constant flux. From both environmental sensory changes and learning mechanisms that modify synaptic strengths, the excitatory and inhibitory signals received by a post-synaptic cell vary on a continuum of time scales. These variable inputs inherent in different sensory environments, as well as inputs changed by Hebbian learning mechanisms (which have been shown to destabilize the activity of neural circuits) serve to limit the input ranges over which a neural network can effectively operate. To avoid circuit behavior which is either quiescent or epileptic, there are a variety of homeostatic mechanisms in place to maintain proper levels of circuit activity. This article provides a basic overview of the biological mechanisms, and consider the advantages and disadvantages of homeostasis on a theoretical level. / text

Synaptic inhibition in the vertebrate central nervous system is largely mediated by type A GABA receptors (GABA(_A)R). The clustering of (GABA(_A)R) at discrete and functionally significant domains on the nerve cell surface is an important determinant in the integration of synaptic inputs. To discern the role that specific GABA(_A)R subunits play in determining the receptor's cell surface topography and mobility, recombinant GABA(_A)Rs, comprising different GABA(_A)R subunit combinations, were transiently expressed in COS7, HEK293 and PC12 cells. In addition, a series of domain swapping experiments were performed in order to elucidate which regions of the protein are important in mobility/anchoring of receptors. The cellular localization and lateral mobility of the recombinantly expressed GABA(_A)Rs were determined by immunocytochemistry and Fluorescence Photobleach Recovery (FPR), respectively. The results presented in this thesis show that GABA(_A)R al subunits are recruited by the β3 subunits from an internally sequestered pool and assembled into a population of GABA(_A)Rs that are spatially segregated into clusters and also immobilised on the cell surface. FPR experiments on recombinant GABA(_A)R containing al-a6 subunits expressed in COS? cells showed restricted mobilities consistent with mobility constants determined for native GABA(_A)Rs expressed on cerebellar granule cells. Furthermore, the intracellular loop domain M3/M4 of the a1 subunits was found to be required for anchoring recombinantly expressed GABA(_A)Rs in C0S7 and cerebellar granule cells in culture, but not for GABA(_A)R clustering at the cell surface.

No description available.

Synaptic activity can encode and store information in the brain through changes in synaptic strength as well as by control of gene expression. One corollary challenge becomes identifying these activity-dependent regulatory proteins and the underlying mechanisms associated with neuronal functions. By using biochemical, electrophysiological and behavioral approaches in combination with genetic and pharmacological manipulation, I report that LIM domain only 4 (LMO4) is a key regulator of calcium induced calcium release (CICR) and protein tyrosine phosphatase 1B (PTP1B) in the hippocampus and amygdala, respectively. Neuronal ablation of LMO4 in the glutamatergic neurons (LMO4KO) was associated with reduced promoter activity, mRNA, and protein expression of ryanodine receptor 2 (RyR2), suggesting the involvement of LMO4 in the transcriptional regulation. CICR function in LMO4KO mice was severely compromised, reflected by inefficient CICR-mediated electrophysiological responses including afterhyperpolarization, calcium rise from internal stores and glutamate release probability. These changes were accompanied with impaired hippocampal long term potentiation (LTP) and hippocampal-dependent spatial learning ability. LMO4 was also shown to exert a cytoplasmic regulation as an endogenous inhibitor for PTP1B that accounts for tyrosine dephosphorylation of mGluR5 in the amygdala. LMO4KO mice had elevated PTP1B activity and decreased mGluR endocannabinoid signaling, resulting in a profound anxiety phenotype. The potential clinical value of PTP1B/LMO4 is promising, given that intra-amygdala injection of the PTP1B inhibitor Trodusquemine or a PTP1B shRNA alleviated anxiety by restoring eCB signal in LMO4KO mice. Thus this study identified PTP1B as a potential therapeutic target for anxiety, besides the previous findings of its association with obesity and diabetes. Moreover, this PTP1B-mediated anxiety may be a general mechanism during chronic stress. Collectively, these findings identify that LMO4 plays an essential role for non-genomic and genomic regulation in central neurons, providing a mechanism for LMO4 to modulate a wide range of neuronal functions and behavior.

The entorhinal cortex is reciprocally connected with both neocortical sensory areas and the hippocampal formation, and is thought to play a pivotal role in learning and memory. Changes in synaptic strength are thought to provide the major neurophysiological basis for memory formation, but little is known about synaptic plasticity in the entorhinal cortex. The objectives of this research were to provide a basis for the interpretation of evoked potentials recorded from the entorhinal cortex following pyriform (primary olfactory) cortex stimulation 𝘪𝘯 𝘷𝘪𝘷𝘰, and to determine the conditions under which synaptic enhancements in this pathway may occur and contribute to lasting changes in the processing of olfactory information. The synaptic currents which generate field potentials in the entorhinal cortex following pyriform cortex and medial septal stimulation were first localized to the superficial layers of the entorhinal cortex using current source density analysis techniques in the anesthetized rat. This allowed changes in the strength of these synaptic inputs to be monitored in the awake rat by measuring evoked field potential amplitudes at a single cortical depth. Long-term synaptic potentiation (LTP) in this pathway was reliably induced following stimulation of the pyriform cortex with either epileptogenic stimuli, or with prolonged subconvulsive high-frequency trains. Further, stimulation which results in short-term frequency potentiation effects, was found to increase the amount of LTP induced. Concurrent stimulation of the medial septum at a frequency similar to that of the endogenous theta rhythm also resulted in a cooperative enhancement of the LTP produced. Computational modelling techniques were then used to formalize the heterosynaptic contribution of frequency potentiating medial septal inputs to Hebbian synaptic modification in entorhinal cortex. These results indicate that the frequency of rhythmic activity in sensory afferents and the activity of the medial septum may play critical roles in the regulation of synaptic plasticity in the entorhinal cortex. / Thesis / Doctor of Philosophy (PhD)

The auditory brainstem is comprised of a number of synapses specialized for the transmission of high-fidelity synaptic signals. Within the first three postnatal weeks, these pathways acquire the ability to process high-frequency signals without compromising timing information. However, little is known regarding developmental adaptations which confer this ability. Situated in the sound localization pathway, the calyx of Held-medial nucleus of the trapezoid body synapse provides an ideal model for investigating such adaptations as both the pre- and postsynaptic neurons are accessible to electrophysiological experimentation. Using this synapse, we have shown herein that the spatial coupling between voltage-gated calcium channels (VGCCs) and synaptic vesicles (SVs) tightens during development. Immature synapses use a loosely-coupled arrangement of many N- and P/Q-type VGCCs (“microdomain” modality) while mature synapses use a tightly-coupled arrangement of fewer P/Q-type VGCCs, to release SVs (“nanodomain” modality). As a consequence of this tightening, synaptic delay (SD) shortens. By fluorescence- and electron microscopy of SVs near active zones, we further identified the filamentous protein septin 5 as a molecular substrate, differentiating the two release modalities, which may act as a spatial barrier separating VGCCs and SVs in immature synapses. Finally, we have demonstrated that changes in release modality affect the nature of short-term plasticity observed at this synapse. Using trains of action potentials as presynaptic voltage-commands, we showed that, downstream of calcium influx, the microdomain modality promotes short-term facilitation in excitatory postsynaptic currents (IEPSC), and calcium-dependent decreases in SD, with these being absent in synapses employing the nanodomain modality. In contrast, we found that as a result of depletion of SVs, short-term depression of IEPSC dominates in synapses using the nanodomain modality, and correlates with calcium-dependent increases in SD. These findings imply that the type of release modality has a significant impact on the strength and timing of synaptic responses. The microdomain modality imparts greater dynamic range in timing and strength, but does so at the cost of efficiency and fidelity, while the nanodomain modality is a key accomplishment consolidating the high-fidelity abilities of this synapse.

The auditory brainstem is comprised of a number of synapses specialized for the transmission of high-fidelity synaptic signals. Within the first three postnatal weeks, these pathways acquire the ability to process high-frequency signals without compromising timing information. However, little is known regarding developmental adaptations which confer this ability. Situated in the sound localization pathway, the calyx of Held-medial nucleus of the trapezoid body synapse provides an ideal model for investigating such adaptations as both the pre- and postsynaptic neurons are accessible to electrophysiological experimentation. Using this synapse, we have shown herein that the spatial coupling between voltage-gated calcium channels (VGCCs) and synaptic vesicles (SVs) tightens during development. Immature synapses use a loosely-coupled arrangement of many N- and P/Q-type VGCCs (“microdomain” modality) while mature synapses use a tightly-coupled arrangement of fewer P/Q-type VGCCs, to release SVs (“nanodomain” modality). As a consequence of this tightening, synaptic delay (SD) shortens. By fluorescence- and electron microscopy of SVs near active zones, we further identified the filamentous protein septin 5 as a molecular substrate, differentiating the two release modalities, which may act as a spatial barrier separating VGCCs and SVs in immature synapses. Finally, we have demonstrated that changes in release modality affect the nature of short-term plasticity observed at this synapse. Using trains of action potentials as presynaptic voltage-commands, we showed that, downstream of calcium influx, the microdomain modality promotes short-term facilitation in excitatory postsynaptic currents (IEPSC), and calcium-dependent decreases in SD, with these being absent in synapses employing the nanodomain modality. In contrast, we found that as a result of depletion of SVs, short-term depression of IEPSC dominates in synapses using the nanodomain modality, and correlates with calcium-dependent increases in SD. These findings imply that the type of release modality has a significant impact on the strength and timing of synaptic responses. The microdomain modality imparts greater dynamic range in timing and strength, but does so at the cost of efficiency and fidelity, while the nanodomain modality is a key accomplishment consolidating the high-fidelity abilities of this synapse.

No description available.