Zilong Ji

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.

This paper proposes that theta sweeps in grid and place cells accelerate cognitive map learning by broadcasting sensory information to unvisited regions, and presents a computational model to test this hypothesis.

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 introduces BrainScale, a system for scalable online learning in spiking neural networks, demonstrating its ability to train large-scale brain models with low memory and high efficiency.

The paper investigates how early visual experience reshapes microcircuit connectivity in the mouse visual cortex during the critical period, identifying specific synaptic changes in inhibitory neurons that underlie plasticity.

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 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.

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