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Short-Term Plasticity at the Schaffer Collateral: a New Model with Implications for Hippocampal Processing

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Short-Term Plasticity at the Schaffer Collateral: a New Model with Implications for Hippocampal Processing Portland State University PDXScholar Dissertations and Theses Dissertations and Theses Summer 1-1-2012 Short-Term Plasticity at the Schaffer Collateral: A New Model with Implications for Hippocampal Processing Andrew Hamilton Toland Portland State University Follow this and additional works at: https://pdxscholar.library.pdx.edu/open_access_etds Part of the Musculoskeletal, Neural, and Ocular Physiology Commons, Neurology Commons, and the Other Mathematics Commons Let us know how access to this document benefits ou.y Recommended Citation Toland, Andrew Hamilton, "Short-Term Plasticity at the Schaffer Collateral: A New Model with Implications for Hippocampal Processing" (2012). Dissertations and Theses. Paper 756. https://doi.org/10.15760/etd.756 This Dissertation is brought to you for free and open access. It has been accepted for inclusion in Dissertations and Theses by an authorized administrator of PDXScholar. Please contact us if we can make this document more accessible: [email protected]. Short-Term Plasticity at the Schaffer Collateral: A New Model with Implications for Hippocampal Processing by Andrew Hamilton Toland A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Systems Science Dissertation Committee: George G. Lendaris, Chair Patrick Roberts Mathew Frerking Dacian Daescu Gerardo Lafferriere Portland State University ©2012 i Abstract A new mathematical model of short-term synaptic plasticity (STP) at the Schaffer collateral is introduced. Like other models of STP, the new model relates short-term synaptic plasticity to an interaction between facilitative and depressive dynamic influ- ences. Unlike previous models, the new model successfully simulates facilitative and depressive dynamics within the framework of the synaptic vesicle cycle. The novelty of the model lies in the description of a competitive interaction between calcium- sensitive proteins for binding sites on the vesicle release machinery. By attributing specific molecular causes to observable presynaptic effects, the new model of STP can predict the effects of specific alterations to the presynaptic neurotrans- mitter release mechanism. This understanding will guide further experiments into presynaptic functionality, and may contribute insights into the development of pharma- ceuticals that target illnesses manifesting aberrant synaptic dynamics, such as Fragile- X syndrome and schizophrenia. The new model of STP will also add realism to brain circuit models that simulate cognitive processes such as attention and memory. The hippocampal processing loop is an example of a brain circuit involved in memory formation. The hippocampus filters and organizes large amounts of spatio-temporal data in real time according to contex- tual significance. The role of synaptic dynamics in the hippocampal system is specu- lated to help keep the system close to a region of instability that increases encoding capacity and discriminating capability.Printed by MathematicaIn particular, for Students synaptic dynamics at the Schaffer collateral are proposed to coordinate the output of the highly dynamic CA3 region of the hippocampus with the phase-code in the CA1 that modulates communication between the hippocampus and the neo-cortex. A new mathematical model of short-term synaptic plasticity (STP) at the Schaffer collateral is introduced. Like other models of STP, the new model relates short-term synaptic plasticity to an interaction between facilitative and depressive dynamic influ- ences. Unlike previous models, the new model successfully simulates facilitative and depressive dynamics within the framework of the synaptic vesicle cycle. The novelty of the model lies in the description of a competitive interaction between calcium- sensitive proteins for binding sites on the vesicle release machinery. By attributing specific molecular causes to observable presynaptic effects, the new model of STP can predict the effects of specific alterations to the presynaptic neurotrans- mitter release mechanism. This understanding will guide further experiments into presynaptic functionality, and may contribute insights into the development of pharma- ceuticals that target illnesses manifesting aberrant synaptic dynamics, such as Fragile- X syndrome and schizophrenia. The new model of STP will also add realism to brain circuit models that simulate cognitive processes such as attention and memory. The hippocampal processing loop is ii an example of a brain circuit involved in memory formation. The hippocampus filters and organizes large amounts of spatio-temporal data in real time according to contex- tual significance. The role of synaptic dynamics in the hippocampal system is specu- lated to help keep the system close to a region of instability that increases encoding capacity and discriminating capability. In particular, synaptic dynamics at the Schaffer collateral are proposed to coordinate the output of the highly dynamic CA3 region of the hippocampus with the phase-code in the CA1 that modulates communication between the hippocampus and the neo-cortex. Printed by Mathematica for Students iii Dedication This dissertation is dedicated to my wife, Rebecca, and children, Wes and Fiona. Printed by Mathematica for Students iv Acknowledgements I would like to express gratitude to my advisors and mentors over the years during which I pursued the doctoral degree. First, to George Lendaris for introducing me to neural networks and computational intelligence. George’s pursuit of excellence has motivated me, and many others, to overcome our own expectations and realize our potential. I am honored to be one of George’s last students. During my time in George’s lab, I was fortunate to meet a number of extraordinary people. Among them, Roberto Santiago, whose analysis of fixed-weight adaptive neural networks inspired the system-level model of the hippocampus in this dissertation. Roberto introduced me to Pat Roberts, who later became my mentor in computational neuroscience, and helped me to appreciate the dynamical behavior and computational power of single neurons. Pat championed my eclectic skill set and convinced Matt Frerking that I would be a good candidate to work on his synaptic dynamics project. Both Pat and Matt are world-class neuroscientists (computational and experimental, repectively), as well as exceptional human beings, and as such, have helped me to relax, consider all things in perspective, and above all maintain professionalism and intellectual honesty. In Matt’s lab I had the great opportunity to work with a handful of remarkable people who will remain lifelong inspirations, especially Emily Johnson, who introduced me to the concept of mental schema. The flexibility of the Systems Science graduate program at Portland State University allowed me to develop an interdisciplinary curriculum that encompassed mathematics, engineering, and biology coursework.Printed byThe Mathematica professors for Students from whom I took classes at PSU were encouraging at every step, and will remain for me examples of excellence in teaching and analytical thinking. In particular, I will always refer to the professional- ism and rigor of professors Dacian Daescu and Gerardo Lafferriere in the math depart- ment, James McNames in the engineering department, and Randy Zelick in the biology department. The Systems Science professors, including George Lendaris, Martin Zwick and Wayne Wakeland, constitute a delightful blend of pragmatic and holistic thinking. There are also a number of professionals in the broader Portland community without whom this dissertation may not have materialized. In particular, I want to recognize my primary care physician, Max Tenscher, who, through investigative work, diagnosed my unusual blood condition, and probably saved my life, as well as this dissertation. Also, thanks goes to Robert Tatsumi, who surgically reconstructed my lower back, allowing me to sit comfortably again for the first time in about fifteen years. My mother and father deserve special mention here as well. Because of them, I have enjoyed opportunities to indulge my intellectual curiosity, and the fortune of meeting intellectuals from the artistic, scientific, engineering, religious, and medical profes- sions. When I was 14, my mother encouraged and supported my interest in designing loudspeakers. This interest has subsequently provided a remarkably constant reference for acoustical, electro-mechanical, and psycho-physical phenomena. Loudspeakers encompass a surprising amount of intellectual territory, and provide a tactile example for many concepts that apply to signal-processing and filter theory. Furthermore, my father’s involvement in the mineralogical community provided numerous opportunities to visit places and people, and experience the display of nature’s creativity in the myr- iad forms and colors of geological formations and crystallized minerals. The sense of wonder for the magnitude and scale of natural phenomenon I owe to my father. Finally, I don’t know how to express my gratitude to my wife for tirelessly support- ing me through the dark and the bright times. Without her I may have given up hope on any number of occasions. I would like to express gratitude to my advisors and mentors over the years during which I pursued the doctoral degree. First, to George Lendaris for introducing me to neural networks and computational intelligence. George’s pursuit of excellence has motivated me, and many others, to overcome our own expectations
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