Susu Chen

The paper introduces Neuropixels Opto probes that combine high-resolution electrophysiology with optogenetics for spatially addressable neuronal manipulation and recording.

The paper shows that neural activity in non-task-coding dimensions can drive behavior through transient amplification, challenging the assumption that only task-relevant dimensions are behaviorally significant.

The paper records brain-wide neural activity in mice during a memory-guided task, showing distributed coding of choice and action across brain regions.

This paper introduces NP Ultra, a high-density electrode that improves neuronal recording yield, detection, and cell type classification in mice.

This paper presents optimized CPU and GPU implementations of the recursive least-squares algorithm for training spiking neural networks, enabling faster training of large-scale models.

This study maps movement-related activity across the brain in mice, finding systematic differences in signal strength and encoding structures across regions.

The paper shows how midbrain and thalamic circuits reorganize motor cortex dynamics to transition from planning to execution of movement.

The paper develops a workflow to accurately localize electrodes in Neuropixels probes across multiple brains using imaging and electrophysiological data.

The paper introduces Neuropixels 2.0, a high-density probe for long-term brain recordings, and demonstrates its stability across months in multiple labs and species.

This paper introduces a high-density CMOS scanning probe for neural recording, demonstrating its ability to capture neural activity across multiple brain regions with improved resolution compared to lower density devices.

The paper benchmarks optogenetic silencers in mice to assess their spatial and temporal effects on cortical circuits, finding that photoinhibition extends beyond light spread and can produce paradoxical effects.