Thanks to novel, powerful brain activity recording techniques, we can create data-driven models from thousands of recording channels and large portions of the cortex, which can improve our understanding of brain-states neuromodulation and the related richness of traveling waves dynamics. We investigate the inference of data-driven models and the comparison among experiments and simulations, through the characterization of the spatio-temporal features of cortical waves in experimental recordings and simulations. Inference is built in two steps: the inner loop that optimizes by likelihood maximization a mean-field model, and the outer loop that optimizes a periodic neuro-modulation by relying on direct comparison of observables apt for the ...
Thesis (Ph.D.)--University of Washington, 2021During development, and into adulthood, the mouse cort...
<p><b>A.1</b>: Simulated local field potentials (LFP) in the computational model (low-pass filtered,...
Slow waves are the most prominent electroencephalographic (EEG) feature of sleep. These waves arise ...
The development of novel techniques to record wide-field brain activity enables estimation of data-d...
Large-scale simulations of cortical models could help to shed light on the study of different brain ...
Making progress in neuroscience is increasingly a collaborative effort that requires insights obtain...
Although brain waves have been studied for a long time, the complex spatial dynamics of such waves b...
In the past decades, neuroscience excelled at accumulating a rich, heterogeneous landscape of datase...
The science of brain function has a long and vibrant history. Recent technological developments have...
The functions of the brain require coordination between functionally specialized and anatomically se...
SummaryCorticothalamic slow oscillations of neuronal activity determine internal brain states. At le...
In the field of computational neuroscience, large-scale biophysical modelling is a bottom-up approac...
Under anaesthesia or in deep sleep, different parts of the brain have a distinctive slow oscillatory...
Under anaesthesia or in deep sleep, different parts of the brain have a distinctive slow oscillatory...
Mean field models of cortical activity describe the electrical potentials and interactions of cortic...
Thesis (Ph.D.)--University of Washington, 2021During development, and into adulthood, the mouse cort...
<p><b>A.1</b>: Simulated local field potentials (LFP) in the computational model (low-pass filtered,...
Slow waves are the most prominent electroencephalographic (EEG) feature of sleep. These waves arise ...
The development of novel techniques to record wide-field brain activity enables estimation of data-d...
Large-scale simulations of cortical models could help to shed light on the study of different brain ...
Making progress in neuroscience is increasingly a collaborative effort that requires insights obtain...
Although brain waves have been studied for a long time, the complex spatial dynamics of such waves b...
In the past decades, neuroscience excelled at accumulating a rich, heterogeneous landscape of datase...
The science of brain function has a long and vibrant history. Recent technological developments have...
The functions of the brain require coordination between functionally specialized and anatomically se...
SummaryCorticothalamic slow oscillations of neuronal activity determine internal brain states. At le...
In the field of computational neuroscience, large-scale biophysical modelling is a bottom-up approac...
Under anaesthesia or in deep sleep, different parts of the brain have a distinctive slow oscillatory...
Under anaesthesia or in deep sleep, different parts of the brain have a distinctive slow oscillatory...
Mean field models of cortical activity describe the electrical potentials and interactions of cortic...
Thesis (Ph.D.)--University of Washington, 2021During development, and into adulthood, the mouse cort...
<p><b>A.1</b>: Simulated local field potentials (LFP) in the computational model (low-pass filtered,...
Slow waves are the most prominent electroencephalographic (EEG) feature of sleep. These waves arise ...