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Yuanyuan Mi

6 accepted papers

2025

Neural Correlates of Serial Dependence: Synaptic Short-term Plasticity Orchestrates Repulsion and Attraction

NeurIPS 2025poster

Serial dependence reflects how recent sensory history shapes current perception, producing two opposing biases: repulsion, where perception is repelled from recent stimuli, and attraction, where perception is drawn toward them. Repulsion typically occurs at the sensory perception stage, while attrac…

Cited by 0SourceScholar
2023

Learning and processing the ordinal information of temporal sequences in recurrent neural circuits

NeurIPS 2023poster

Temporal sequence processing is fundamental in brain cognitive functions. Experimental data has indicated that the representations of ordinal information and contents of temporal sequences are disentangled in the brain, but the neural mechanism underlying this disentanglement remains largely unclea…

Cited by 0SourcePDFScholar
2023

Slow and Weak Attractor Computation Embedded in Fast and Strong E-I Balanced Neural Dynamics

NeurIPS 2023spotlight

Attractor networks require neuronal connections to be highly structured in order to maintain attractor states that represent information, while excitation and inhibition balanced networks (E-INNs) require neuronal connections to be random and sparse to generate irregular neuronal firings. Despite be…

Cited by 3SourcePDFScholar
2022

Oscillatory Tracking of Continuous Attractor Neural Networks Account for Phase Precession and Procession of Hippocampal Place Cells

NeurIPS 2022accept

Hippocampal place cells of freely moving rodents display an intriguing temporal organization in their responses known as `theta phase precession', in which individual neurons fire at progressively earlier phases in successive theta cycles as the animal traverses the place fields. Recent experimental…

Cited by 6SourcePDFScholar
2019

Push-pull Feedback Implements Hierarchical Information Retrieval Efficiently

NeurIPS 2019poster

Experimental data has revealed that in addition to feedforward connections, there exist abundant feedback connections in a neural pathway. Although the importance of feedback in neural information processing has been widely recognized in the field, the detailed mechanism of how it works remains larg…