When cerebellar Purkinje cells are depolarized with a constant current pulse injected at the soma, complex spike discharge patterns are observed (Llinas and Sugimori 1980b). A computer model has been constructed to analyze how the Purkinje cell ionic conductances identified to date interact

A simplified model of the cerebellum was developed to explore its potential for adaptive, predictive control based on delayed feedback information. An abstract representation of a single Purkinje cell with multistable properties was interfaced, via a formalized premotor network, with a simulated

We have previously successfully simulated mGluR1 mediated sEPSP based on experimental data. This effect is associated with parallel fiber – Purkinje cell LTD [1-3]. The mGluR1 mediated sEPSP is generated by calcium signaling through the TRPC channel which is crucial in cerebellar LTD induction [4

Unless stated otherwise, the simulations were performed using the multi-compartmental Purkinje cell model with active dendrites and soma that has been previously described in detail (De Schutter and Bower, 1994a; De Schutter and Bower, 1994b). The model is based on a morphological reconstruction

Synaptic plasticity in granule cell (GC) inputs to Purkinje cells (PCs) has been a major and ongoing subject of exper-imental investigation ever since the publication of the Marr/Albus hypothesis of cerebellar learning. It is known that this synaptic plasticity may very well be associated with a

on Purkinje cell and cells in the deep cerebellar nuclei of cerebellum. Error signal generation and input signal conversion algorithms for turn rate and velocity are designed to facilitate training in an environment containing turns of varying curvatures. S-CDE is tested on a simulated mobile robot which had

. The mechanism underlying STO in an IO neuron acts to rhythmically change its firing subthreshold oscillations in inferior olivary cells is not known. To study this question, we developed a single-compartment, two-probability. Consequently, the target cerebellar Purkinje variable, Hodgkin-Huxley-like model

Purkinje fiber (PF) cells exhibit action potential (AP) morphology and duration markedly different to those of ventricle myocytes. In order to study heterogeneity at the Purkinje-ventricular junction (PVJ), we construct a new AP model for the canine PF cell based on detailed experimental data

A simplified model of the cerebellum was developed to explore its potential for adaptive, predictive control based on delayed feedback information. An abstract representation of a single Purkinje cell with multistable properties was interfaced, using a formalized premotor network, with a simulated

ii iv vTo my parents vi vii Acknowledgements I would first and foremost extend my whole-hearted gratitude to my advisors, An-drea Arpaci-Dusseau and Remzi Arpaci-Dusseau. Andrea and Remzi are the reason that I had the opportunity for this exceptional Ph.D. journey. To this day, I still re-member the moment when they took me as their student and the joy and hope in my heart. Andrea and Remzi have showed me what systems research is like and how much fun and challenging it can be. Before this journey with them, I had always liked and believed in the beauty of mathematics and theory. My initial interest in systems research happened when I took Remzi’s Advanced Operating Systems