Predicting saccades given the behavior of Purkinje cells

On this week's Journal Club session, Eleonora Bernasconi will talk about her work in the talk entitled "Predicting saccades given the behavior of Purkinje cells". Please see below for the abstract of a supporting paper.

A better understanding of the neural and functional mechanisms underlying drug-induced changes in pathological nystagmus is likely to improve medical treatment. A treatment option for downbeat nystagmus (DBN), a common form of acquired fixation nystagmus that often occurs with cerebellar degeneration, is low doses of the potassium channel blocker 4-aminopyridine (4-AP). The upward ocular drift in DBN has a spontaneous and a vertical gaze-evoked component. Detailed analysis of the effect of 4-AP in patients showed that the drug consistently improved the gaze-evoked component, but had less effect in reducing the spontaneous drift. We show by a combination of computational modelling at the systems level and at the neuronal level how this differential effect can be investigated. We have previously postulated that DBN is caused by damage to the floccular lobe (FL). 4-AP, which has been shown to increase the excitability of Purkinje cells (PCs) in slice experiments, may thus suppress DBN by partly restoring floccular function. We simulated the effect of low concentrations of 4-AP on the cellular level using a multicompartment model of a PC, in which we changed ion channel properties to simulate damage. The transition from the cellular level to the systems level was achieved by constructing a population response. Systems level modelling predicted that the effect of 4-AP on the PCs should reduce DBN, but the predicted effect on the gaze-dependent component was less than is observed in patients. Our results suggest that the beneficial effect of 4-AP on DBN cannot be solely explained by its effect at the neuronal level of PCs, and suggests added effects at the level of the population of neurons.


Papers:

Date: 2023/07/07
Time: 14:00
Location: online

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neural networks cerebellum Dendritic computation Network connectivity optimization Open position Persistent homology Structural plasticity PCA Neuronal Morphology Software development robotics computational modelling neuroscience Purkinje cell computational neuroscience Evolutionary algorithms Deep learning COVID-19 Homoeostasis machine learning Convolutional Neural Networks Studentship Computer Science Artificial intelligence synaptic plasticity Associative memory Neuromorphic hardware Neurons olfaction