Jennifer S. Goldman

Asynchronous and slow-wave oscillatory states in connectome-based models of mouse, monkey and human cerebral cortex

The paper builds brain-wide models of mouse, macaque, and human cerebral cortex using connectome data and mean-field techniques, showing species differences in slow-wave synchrony due to axonal propagation delays.

High-density exploration of activity states in a multi-area brain model

The paper explores the TVB-AdEx model's parameter space to understand how adaptation and neuromodulation drive brain state transitions between conscious and unconscious states.

A comprehensive neural simulation of slow-wave sleep and highly responsive wakefulness dynamics

This paper develops a mean-field neural model of brain states that reproduces empirical dynamics across scales and brain states, using the human connectome and the Virtual Brain simulator.

Brain-scale emergence of slow-wave synchrony and highly responsive asynchronous states based on biologically realistic population models simulated in The Virtual Brain

The paper develops a brain-wide model using biologically realistic population dynamics to simulate slow-wave synchrony and asynchronous states, showing their distinct responses to stimulation.

Cholinergic switch between two different types of slow waves in cerebral cortex

The paper identifies two types of slow waves in the cerebral cortex, showing they differ in neural dynamics and sensitivity to stimuli, explaining differences in memory consolidation under sleep and anesthesia.

Dendritic sodium spikes endow neurons with inverse firing rate response to correlated synaptic activity

The paper shows that neurons with active dendrites have reduced firing rates in response to correlated synaptic input, contrasting with point neurons or passive dendritic models.