Fang Fang

The paper trains RNNs with short-term plasticity to perform decision-making tasks, showing that evidence accumulates during activity-silent periods through synaptic efficacy changes.

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.

This paper introduces compressive learning, a framework that uses higher-order network structure to improve human knowledge acquisition by embedding node-degree inhomogeneity into pre-learning trajectories.

This study compares human and artificial speech comprehension by analyzing local sequential phonology-to-semantics transfer mechanisms in both.

This paper introduces a unified Laplacian framework that links spatial representations to navigation policies, showing that spectral decompositions of the Laplacian can enable efficient goal-reaching in complex environments.

This study uses fMRI to investigate retinotopic responses in the auditory cortex of congenitally deaf individuals, finding cross-modal visual representations in the deaf but not in hearing participants.

The paper investigates how primate posterior parietal cortex monitors trial outcomes during long-term learning, finding that outcome representations reorganize and evolve with network connectivity.

The paper shows that pupil size actively and predictively adjusts to aid in extracting visual regularity during ensemble orientation estimation.

The paper shows that selective retrieval of a memory reduces both the mnemonic content and emotional impact of competing memories through distinct neural mechanisms.

This study investigates how color-based attention affects subcortical nuclei, showing it modulates parvocellular activity in the LGN and enhances connectivity between LGN and V1.

The paper investigates how spatial frequency channels mediate context-dependent scaling of spatial perception in humans using psychophysics and fMRI.

The paper shows that 10-Hz repetitive visual stimulation enhances wakeful consolidation of visual learning, while 1-Hz RVS impairs it, suggesting a role for alpha entrainment and LTP-like plasticity.

This study identifies neural response features that predict perceived sound content and location from intracranial electrical stimulation in human auditory cortex.

This study compares the effectiveness of different transcranial electrical stimulation (tES) methods combined with visual perceptual learning (VPL) and finds that 10 Hz tACS provides the strongest enhancement in learning rate and performance.

This paper introduces a neural geometry theory that explains visual perceptual learning by showing neural manifold shrinkage, rather than changes in tuning curves or noise correlations, is the primary mechanism.

This study measures receptive fields in human visual cortex using LFPs and spiking activity, finding that LGA and HGA closely match spiking activity in RF size and temporal profiles.

This study shows that visual sequence exposure induces non-feature-specific elevated responses and feature-specific backward replay in the human brain, suggesting distinct functional roles in processing and learning sequences.

This study investigates infant cerebral blood flow dynamics and their role in the emergence of functional networks like the default-mode network using multi-modal MRI.

This study shows that learning with a partner improves visual perceptual learning performance and speed, with neural changes in visual and social cognition areas.

This study uses tACS to show that 10 Hz alpha stimulation over the occipital cortex enhances visual perceptual learning, while other frequencies and regions do not.

This study shows that PVNH tissue is functionally coupled with the neocortex during resting and task states, indicating integration into cortical circuits.

This study investigates how visual information reaches the auditory cortex in congenitally deaf adults using computational models and neuroimaging techniques.