Paul J. N. Brodersen

The paper develops and evaluates automated sleep scoring methods for hibernating and non-hibernating American black bears using machine learning classifiers on EEG, EOG, and EMG data.

The paper shows that sleep deprivation causes depolarizing GABAAR signaling and spike threshold adaptation in cortical neurons, stabilizing network activity despite increased firing rates.

Somnotate is a probabilistic classifier that improves sleep stage annotation in mice by identifying intermediate states and transitions, outperforming human experts.

The paper investigates GABAAR signaling in awake versus anesthetized mouse cortex, finding that awake networks exhibit shunting inhibition due to depolarized GABAAR equilibrium potentials.

The paper develops biologically plausible variants of RBMs with sparse and asymmetric connectivity and benchmarks their performance on MNIST.

The paper shows that intraneuronal chloride levels increase with wakefulness, reducing synaptic inhibition and affecting cortical function, and that targeting chloride can restore performance in tired states.