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Erdem Varol

7 accepted papers

2025

Predicting Functional Brain Connectivity with Context-Aware Deep Neural Networks

NeurIPS 2025poster

Spatial location and molecular interactions have long been linked to the connectivity patterns of neural circuits. Yet, at the macroscale of human brain networks, the interplay between spatial position, gene expression, and connectivity remains incompletely understood. Recent efforts to map the huma…

Cited by 0SourcecodeScholar
2025

Self supervised learning for in vivo localization of microelectrode arrays using raw local field potential

NeurIPS 2025poster

Recent advances in large-scale neural recordings have enabled accurate decoding of behavior and cognitive states, yet decoding anatomical regions remains underexplored, despite being crucial for consistent targeting in multiday recordings and effective deep brain stimulation. Current approaches typi…

Cited by 0SourcecodeScholar
2023

Bypassing spike sorting: Density-based decoding using spike localization from dense multielectrode probes

NeurIPS 2023spotlight

Neural decoding and its applications to brain computer interfaces (BCI) are essential for understanding the association between neural activity and behavior. A prerequisite for many decoding approaches is spike sorting, the assignment of action potentials (spikes) to individual neurons. Current spik…

2023

Multimodal Microscopy Image Alignment Using Spatial and Shape Information and a Branch-and-Bound Algorithm

ICASSP 2023accepted

Multimodal microscopy experiments that image the same population of cells under different experimental conditions have become a widely used approach in systems and molecular neuroscience. The main obstacle is to align the different imaging modalities to obtain complementary information about the obs…

Cited by 0SourceScholar
2023

Robust Online Multiband Drift Estimation in Electrophysiology Data

ICASSP 2023accepted

High-density electrophysiology probes have opened new possibilities for systems neuroscience in human and non-human animals, but probe motion poses a challenge for downstream analyses, particularly in human recordings. We improve on the state of the art for tracking this motion with four major contr…

Cited by 0SourceScholar
2021

Decentralized Motion Inference and Registration of Neuropixel Data

ICASSP 2021accepted

Multi-electrode arrays such as "Neuropixels" probes enable the study of neuronal voltage signals at high temporal and single-cell spatial resolution. However, in vivo recordings from these devices often experience some shifting of the probe (due e.g. to animal movement), resulting in poorly localize…

Cited by 0SourceScholar
2021

Three-dimensional spike localization and improved motion correction for Neuropixels recordings

NeurIPS 2021poster

Neuropixels (NP) probes are dense linear multi-electrode arrays that have rapidly become essential tools for studying the electrophysiology of large neural populations. Unfortunately, a number of challenges remain in analyzing the large datasets output by these probes. Here we introduce several n…

Cited by 33SourcePDFScholar