Neil Burgess

The paper investigates the neuronal origin of hexadirectional modulation in grid cells using data from foraging rats, finding that firing rate adaptation explains the phenomenon.

This paper introduces a hierarchical RNN that mimics spatial navigation circuits, reproducing key cell types and dynamics through task-driven learning.

The paper investigates theta-gamma phase-amplitude coupling in human hippocampal LFP during navigation, finding it correlates with proximity to remembered goals.

Most fast-ripples (250-500 Hz) in rat and human recordings are consistent with chance clustering of action potentials; in awake patients, distinct events make up an estimated 37.5% of detections.

The paper shows theta sweeps in the medial entorhinal cortex are organized along the dorsoventral axis, with increasing angular deviation from heading direction from dorsal to ventral modules.

The paper presents a computational model of hippocampo-neocortical interaction that simulates memory encoding, retrieval, and problem solving through compressive retrieval-augmented generation.

The paper shows that head direction cells in rats use a head-referenced dual-axis updating rule in 3D space by analyzing their firing patterns during movement on a hemispherical surface.

This study shows that place and grid cells complement each other through reciprocal connections to achieve robust and efficient spatial representation in the brain.

This study shows that hippocampal theta sweeps encode goal-directed information, independent of movement or head direction, and supports their role in online spatial planning.

The paper presents a computational model explaining alternating theta sweeps in the hippocampal circuit using firing rate adaptation and continuous attractor dynamics, validated against experimental data.

This paper uses recurrent neural networks to model path integration and reveals a hierarchical processing pathway involving band and grid cells.

This study shows that human hippocampal theta oscillations correlate with distance to goal during spatial planning and navigation, supporting their role in goal-directed behavior.

This paper investigates how consolidation enhances sequential planning by strengthening neural markers of step-by-step simulation in the brain.

This study identifies a neural mechanism involving firing rate adaptation that modulates hippocampal replay dynamics, showing correlations with theta sequence length and behavioral states.

This study shows that firing rate adaptation in a continuous attractor neural network explains theta phase precession and procession in hippocampal place cells.

Repix enables reliable, reusable, and versatile chronic Neuropixels recordings in unrestrained animals over months, with minimal user training and high stability.

This paper presents a computational model of memory construction and consolidation, showing how hippocampal replay trains neocortical generative models to reconstruct sensory experiences and explain memory distortions.

This study shows that visual boundary cues alone are sufficient to stabilize place and grid cell responses in virtual reality.

This paper investigates how environment geometry affects subiculum boundary vector cells in adults and early development, revealing geometry-dependent tuning and inhibitory contributions to receptive fields.

The paper shows that midlife path integration impairments predict Alzheimer's disease risk, independent of other cognitive tests.

The paper examines structural brain changes in developmental amnesia patients using MRI and finds that hippocampal atrophy correlates with cognitive performance, suggesting cortical compensation for damaged regions.

The paper shows place cells fire at progressively earlier ripple phases during replay, indicating phase coding occurs in the ripple band.

The paper introduces the Tolman-Eichenbaum machine, a computational model that unifies spatial and relational memory by explaining hippocampal and entorhinal cell representations through generalisation principles.

The paper shows that aligning grid-like neural representations with environmental information axes improves navigation performance and reduces spatial uncertainty.

The paper identifies distinct hippocampal and prefrontal cortex circuit dysfunctions in DS mouse models linked to specific regions of human chromosome 21.

This study shows that place and grid cells use parallel attractor networks to integrate environmental and self-motion information, explaining spatial firing dynamics in rats.

The paper shows that increased theta power and theta-gamma coupling during spatial memory retrieval in humans correlates with better task performance.

This study uses a virtual reality navigation task to differentiate mild cognitive impairment patients with and without Alzheimer's disease biomarkers, showing higher accuracy than standard cognitive tests.

This study investigates how the brain plans motor sequences by analyzing MEG data, finding that competitive queuing of sequential representations predicts performance accuracy.

This study investigates the relationship between model-based planning and spatial memory by examining hippocampal function in patients with hippocampal resection, finding impairments linked to lesion size and covariation in controls.