Henry Kennedy

The paper describes the iterative creation of harmonized ontologies and 3D frameworks for the basal ganglia across human and non-human primates to enable cross-species comparisons of cellular and molecular data.

This paper introduces a method to map cortical-layer specific area boundaries in primates using myelin MRI, revealing a 182 area/subarea partition in macaques with high homology to human myelin maps.

This study identifies three cortical streams for somatosensory information processing in macaques by integrating receptor covariance and connectivity data.

The paper introduces an information-theoretic method to detect community structure in dense cortical networks, revealing a nested hierarchy of link and node communities in macaques.

The paper investigates how perceptual states are represented in early visual areas during bistable motion perception, finding stronger top-down modulation in V1 than in higher-order areas.

The paper develops a machine learning framework to assess predictability in cortical interareal connections across macaque and mouse brains, finding significant predictability in medium and strong links.

The paper shows that bifurcations in cortical space create functional modules for specific cognitive tasks, with timescale patterns matching experimental observations.

The paper investigates feedback projections in primate early visual cortex, revealing retinotopic organization and differences in connection strength between ventral and dorsal stream areas.

This study shows that grafts of neural precursors reverse cognitive and motor symptoms in a non-human primate model of Parkinson's disease.

This study shows that a dopamine gradient in monkey cortex influences working memory by filtering stimuli and determining memory encoding mechanisms.

The paper models human brain connectivity with and without long-range exceptions to show they improve information processing.

The paper investigates how anatomical connection strength relates to rhythmic synchronization in macaque cortex, finding that strength predicts synchronization and vice versa, with frequency and direction specificity.

The paper uses statistical modeling and anatomical analysis to establish a cortical hierarchy based on laminar profiles and functional connectivity, highlighting the role of top-down generative networks.

The paper develops a 24-channel MRI coil and adapts HCP protocols for macaques, enabling high-quality in vivo imaging and preprocessing comparable to human studies.

The paper analyzes the hierarchical organization of the mouse visual cortex using laminar patterns of interareal axonal projections and identifies both canonical and noncanonical hierarchical network motifs.

The paper investigates how face and voice gender perception involves multimodal integration through top-down influences and multiple feedback pathways using behavioral and brain imaging techniques.

This study examines the prenatal development of the primate corticospinal pathway in cynomolgus monkeys, revealing early innervation patterns and distribution changes in projection neurons.

This study examines how congenital blindness in macaques affects sub-cortical circuits, revealing changes in cortical projections from the lateral geniculate nucleus and increased projections from the pulvinar complex.

The paper infers a gene regulatory network from sparse data that controls mouse cortical neurogenesis and generates distinct cortical areas through gene modulation.

The paper investigates how cortical networks support color filling-in and uniform chromaticity, finding distinct dorsal and ventral pathways involved.

The paper analyzes mouse cortical connectivity using tracer injections and histological markers, revealing high graph density and distinct connectivity profiles compared to macaques.

The paper investigates cortical connectivity changes in a macaque model of congenital blindness, showing a reorganization of the visual cortex into a default extrastriate cortex with altered connectivity patterns.

This study uses a computational model of the primate cortex to show that feedback projections target infragranular layers and modulate alpha/low beta oscillations, supporting predictive coding.

The paper develops a large-scale dynamical model of the macaque neocortex to show how hierarchical timescales emerge for sensory and decision-making processes.

This study identifies distinct frequency channels for feedforward and feedback influences in the primate visual system using Granger-causal analysis of local field potentials.