Scott Rich

This paper uses AI-guided ADAR editing to correct a nonsense mutation in mice, improving Rett syndrome symptoms and extending lifespan.

This paper modifies the PING mechanism to produce more realistic gamma oscillations by introducing biophysically motivated changes that reduce synchronization and increase transient activity.

This study identifies a mechanism by which h- and m-channel overexpression leads to seizure-like events through impaired processing of correlated inputs in inhibitory neurons, independent of changes in the excitatory-inhibitory balance.

This paper investigates how dynamic cholinergic modulation affects neuronal microcircuits, showing that network topology and modulation rate influence desynchronization mechanisms.

The paper investigates the role of hyperpolarization-activated currents in shaping spiking frequency preference of human cortical layer 5 neurons using computational models and experimental validation.

This study shows that excitability heterogeneity in neural networks enhances resilience by reducing dynamic volatility and making the system independent of control parameters.

The paper introduces a deep learning approach to estimate parameters in connectome-based neural mass models using fMRI data and demonstrates its effectiveness on synthetic and real resting-state fMRI data.

The paper shows that reduced neuronal heterogeneity in epileptogenic tissue decreases network resilience to synchrony changes, leading to seizure-like dynamics.

The paper compares minimal and detailed models of CA1 microcircuits to show how theta rhythms are generated and controlled by pyramidal and inhibitory cells.

The paper characterizes electrophysiological diversity among human cortical pyramidal neurons by analyzing sag currents and frequency preferences across different cortical layers.

The paper investigates how intrinsic neuronal properties and external inhibition influence theta rhythm frequencies in CA1 microcircuits using computational models.

The paper develops a biophysically detailed human layer 5 cortical neuron model showing slower h-current kinetics compared to rodents, leading to differences in resonance and post-inhibitory rebound.

The paper uses computational models to show that hyper-excitable inhibitory networks can transition from asynchronous to synchronous activity, potentially explaining seizure initiation.