James B. Isbister

Modeling and Simulation of Rat Non-Barrel Somatosensory Cortex. Part I: Modeling Anatomy

The paper creates a detailed computational model of rat somatosensory cortex anatomy, including 4.2 million neurons and 14.2 billion synapses, and identifies limitations in connectivity prediction from morphology.

Modeling and Simulation of Neocortical Micro- and Mesocircuitry. Part II: Physiology and Experimentation

The paper presents a large-scale biophysically detailed model of somatosensory cortex to simulate and validate cortical dynamics and experimental results.

Computational modeling reveals biological mechanisms underlying the whisker-flick EEG

This paper uses computational modeling to identify neural populations and connectivity patterns underlying the whisker-flick EEG waveform in rodents.

Assemblies, synapse clustering and network topology interact with plasticity to explain structure-function relationships of the cortical connectome

The paper uses simulations to study how synaptic plasticity interacts with network structure and dendritic organization to shape cortical microcircuit function and learning.

A multiscale electro-metabolic model of a rat neocortical circuit reveals the impact of ageing on central cortical layers

This study develops a multiscale electro-metabolic model of a rat neocortex to show that middle cortical layers are more vulnerable to energy impairment with age.

Spike sorting biases and information loss in a detailed cortical model

The paper evaluates spike sorters using a cortical model, finding that sorting biases reduce stimulus discrimination ability by nearly half.

A connectome manipulation framework for the systematic and reproducible study of structure-function relationships through simulations

The paper introduces a framework for manipulating neuronal connectomes in simulations to study structure-function relationships, finding causal shifts in neuronal activity from connectivity changes.

Cortical cell assemblies and their underlying connectivity: an in silico study

The paper uses a simulation-based approach to study how synaptic connectivity patterns shape functional cell assemblies in a cortical network model, showing that connectivity structure significantly influences assembly composition and activation.

Spike: A GPU Optimised Spiking Neural Network Simulator

The paper introduces Spike, a GPU-optimized spiking neural network simulator with optimizations that significantly improve performance over CPU-based simulators.