Nicholas Cain

A Comprehensive Atlas of Cell Type Density Patterns and Their Role in Brain Organization

The paper maps cell type densities in the mouse brain using single-cell imaging and computational analysis, revealing sex differences, shared signatures among brain regions, and associations between cell densities and anatomical functions.

Differential encoding of temporal context and expectation under representational drift across hierarchically connected areas

The paper shows that visual areas differentially encode temporal context and expectation in natural scenes, with representational drift observed in lower areas but not higher ones.

Stimulus novelty uncovers coding diversity in survey of visual cortex

The paper identifies diverse functional neuron types in the visual cortex that process novel and familiar stimuli in mice.

Brain Modeling ToolKit: an Open Source Software Suite for Multiscale Modeling of Brain Circuits

The paper introduces BMTK, an open-source software suite for multiscale brain circuit modeling, enabling simulations across different resolution levels with reduced coding requirements.

A large-scale, standardized physiological survey reveals higher order coding throughout the mouse visual cortex

The paper presents a large-scale dataset of neural activity in the mouse visual cortex and shows that responses to different stimuli are largely independent, suggesting multi-layer hierarchical computation.

NWB:N 2.0: An Accessible Data Standard for Neurophysiology

Version 2.0 of the Neurodata Without Borders neurophysiology format centres on the schema, with an accompanying software stack and community aimed at making recordings easier to reuse.

Visual physiology of the Layer 4 cortical circuit in silico

The paper develops a biophysically detailed in silico model of layer 4 of the mouse primary visual cortex, showing how functional synaptic connectivity reproduces experimental observations of neuronal responses to visual stimuli.

Generalized Leaky Integrate-And-Fire Models Classify Multiple Neuron Types

The paper develops generalized leaky integrate-and-fire models to classify neuron types in the mammalian neocortex using electrophysiological data.