William W. Lytton

The paper identifies the electrophysiological mechanism of intrinsic oscillations in rat geniculate interneurons through pharmacological and computational analyses.

The paper uses computer models to predict differential dendritic vulnerability to ischemia and spreading depression, finding greater calcium accumulation in basilar dendrites and higher intracellular chloride in distal apical dendrites during ischemia.

The paper shows that conduction delay governs in-phase and antiphase phase relationships in brain connectivity during motor learning, introducing the Phase Relationship Index (PRI) to capture these dynamics.

The paper simulates Parkinson's disease effects on primary motor cortex neurons, showing increased beta band power in simulated networks.

The paper simulates mouse primary motor cortex activity and finds self-organized, self-sustained avalanches with power-law distributions in size and duration.

This study uses computational models to explore how aging-related changes like axonal loss and input noise affect cognitive slowing in a simple task, finding that axonal loss and noise cause significant slowing while neuronal loss paradoxically reduces it.

The paper develops a biophysically detailed model of macaque auditory circuits that reproduces in vivo dynamics and physiological oscillations.

This study uses computer modeling to show that cortical neurons exhibit different phase shifts in response to excitation and inhibition, with implications for phase precession and phase roll in navigation.

The paper implements a detailed rat somatosensory thalamocortical circuit model in NetPyNE, preserving original cell types, connectivity, and physiological properties.

The paper develops a multiscale computer model of spreading depolarization in brain slices, showing that SD speed depends on tissue properties and is exacerbated by hypoxia and slice thickness.

The paper modernizes the NEURON simulator to improve sustainability, portability, and performance through new tools and optimizations.

This paper trains spiking neuronal network models to play a virtual racket-ball game using reinforcement learning and evaluates different circuit architectures and learning rules.

The paper develops a computational model of the spinal dorsal horn to study how chronic pain alters neural processing.

The paper develops a multiscale model of mouse primary motor cortex to predict cell type-specific, behavior-dependent neural dynamics.

The paper investigates how HCN and TASK-like channels affect dendritic impedance in layer 5 pyramidal neurons, finding that their combination best matches experimental impedance profiles.

The paper records glutamate-mediated dendritic plateau potentials in rat cortical pyramidal neurons and uses a model to show these potentials alter neuronal state, increasing excitability and enabling rapid response to subsequent inputs.

This study uses a hippocampal CA3 computer model to investigate how altering NMDAR, HCN, and GABAAR affects information flow and gamma activity, suggesting multi-target pharmacotherapy for schizophrenia.

The paper quantifies and classifies multi-cycle oscillation events in primate auditory cortex, revealing non-constant frequency and amplitude characteristics across frequency bands.

The paper develops a multiscale biophysically detailed model of mouse primary motor cortex to study information flow and dynamics across cell types and frequencies.

Open Source Brain provides a platform for visualizing, simulating, and collaboratively developing standardized neuronal and circuit models to improve model transparency and reproducibility.

NetPyNE is a tool for creating multiscale neuronal network models in NEURON using declarative specifications, enabling efficient simulation and analysis of brain circuits.