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Fatih Dinc

5 accepted papers

2025

Dynamical phases of short-term memory mechanisms in RNNs

ICML 2025poster

Short-term memory is essential for cognitive processing, yet our understanding of its neural mechanisms remains unclear. Neuroscience has long focused on how sequential activity patterns, where neurons fire one after another within large networks, can explain how information is maintained. While rec…

Cited by 0SourcePDFScholar
2025

Extracting task-relevant preserved dynamics from contrastive aligned neural recordings

NeurIPS 2025spotlight

Recent work indicates that low-dimensional dynamics of neural and behavioral data are often preserved across days and subjects. However, extracting these preserved dynamics remains challenging: high-dimensional neural population activity and the recorded neuron populations vary across recording sess…

Cited by 0SourcecodeScholar
2024

ActSort: An active-learning accelerated cell sorting algorithm for large-scale calcium imaging datasets

NeurIPS 2024poster

Recent advances in calcium imaging enable simultaneous recordings of up to a million neurons in behaving animals, producing datasets of unprecedented scales. Although individual neurons and their activity traces can be extracted from these videos with automated algorithms, the results often require…

2024

Global Distortions from Local Rewards: Neural Coding Strategies in Path-Integrating Neural Systems

NeurIPS 2024poster

Grid cells in the mammalian brain are fundamental to spatial navigation, and therefore crucial to how animals perceive and interact with their environment. Traditionally, grid cells are thought support path integration through highly symmetric hexagonal lattice firing patterns. However, recent findi…

Cited by 0SourcePDFScholar
2023

CORNN: Convex optimization of recurrent neural networks for rapid inference of neural dynamics

NeurIPS 2023poster

Advances in optical and electrophysiological recording technologies have made it possible to record the dynamics of thousands of neurons, opening up new possibilities for interpreting and controlling large neural populations in behaving animals. A promising way to extract computational principles fr…