Zhe Sage Chen

Toward Optimizing Thalamic Deep Brain Stimulation for Cortical Modulation: A Surrogate Brain Approach

This paper develops a surrogate-brain approach to optimize thalamic deep brain stimulation for cortical modulation using inferred effective connectivity and control theory.

Subspace communication in the hippocampal-retrosplenial axis

The paper identifies communication subspaces in the hippocampal-retrosplenial circuit using partial canonical correlation analysis, showing how these subspaces reconfigure to support flexible encoding of experiences.

Hierarchical Gating of Cortical Population Dynamics Drives Pain

This study identifies a hierarchical cortical circuit involving the prelimbic and anterior cingulate cortex that modulates pain behavior through synaptic, cellular, and network-level mechanisms.

Multiplicative couplings facilitate rapid learning and information gating in recurrent neural networks

This paper introduces a multiplicative coupling mechanism between RNN and FNN architectures to enhance learning speed and information gating in neural networks.

Traveling waves enhance hippocampal-parahippocampal couplings in humanepisodic and working memory

The paper investigates traveling waves in the human hippocampus and parahippocampal regions during memory tasks, finding enhanced couplings and frequency-specific communication patterns.

Identifying behavioral links to neural dynamics of multifiber photometry recordings in a mouse social behavior network

The paper develops state-space models to analyze multi-fiber photometry data and links neural dynamics to social behaviors in mice.

Pixel-wise programmability enables dynamic high-SNR cameras for high-speed microscopy

This paper introduces a high-speed camera with programmable pixel sampling that improves signal-to-noise ratio, enabling detection of weak neuronal activity.

Neural dynamics in the limbic system during male social behaviors

The paper investigates neural dynamics in the limbic system of male mice during sexual and aggressive behaviors, identifying distinct network states associated with each behavior.

Computational models for state-dependent traveling waves in hippocampal formation

The paper develops a spiking neural network to model state-dependent traveling theta waves in the hippocampal formation and medial entorhinal cortex, showing that long-range inhibitory connections are more effective for wave propagation.

Mediodorsal thalamus regulates sensory and mapping uncertainties in flexible decision making

This study uses computational models to show that the mediodorsal thalamus improves decision-making by reducing sensory noise, enhancing working memory, and enabling context switching.

Excitatory-Inhibitory Recurrent Dynamics Produce Robust Visual Grids and Stable Attractors

The paper trains a biologically-inspired recurrent neural network to simulate visual grid cell activity in rat V2 and finds grid-like patterns emerge robustly across different network configurations and tasks.

Sharp tuning of head direction by somatosensory fast-spiking interneurons

The paper characterizes head direction (HD) cells in the somatosensory cortex, finding that fast-spiking inhibitory neurons are sharply tuned to HD and have distinct organizational features.

Spiking recurrent neural networks represent task-relevant neural sequences in rule-dependent computation

This paper trains a spiking recurrent neural network to perform a rule-dependent cognitive task, showing neural dynamics similar to experimental data in rodents and monkeys.

Bimodal Remapping of Visual Grids

The paper identifies two classes of V2 grid cells in rats with distinct remapping properties, showing bimodal remapping and stable firing patterns during environmental changes.

Egocentric Asymmetric Coding in Sensory Cortical Border Cells

The paper identifies rotation-selective egocentric border cells in rat somatosensory and visual cortices that maintain directional tuning across environmental changes.

Predictive Coding Models for Pain Perception

This paper develops predictive coding models to study pain perception by analyzing neural activity in rats, revealing insights into how expectation and chronic pain influence neural dynamics.

A compact spatial map in V2 visual cortex

The paper identifies spatially tuned neurons in the visual cortex of rats that form a spatio-visual map, independent of visual input.

A Geometric Framework for Understanding Dynamic Information Integration in Context-Dependent Computation

This study uses a recurrent neural network to model context-dependent computation in the prefrontal cortex, revealing geometric patterns of information coding and integration.

Spatiotemporal patterns of rodent hippocampal field potentials uncover spatial representations

This paper identifies spatiotemporal patterns in rodent hippocampal field potentials that encode spatial representations and develops methods to decode these patterns for navigation and replay analysis.

Thalamocortical network connectivity controls spatiotemporal dynamics of cortical and thalamic traveling waves

This paper develops a computational model of a thalamocortical network to study how connectivity and delays affect spatiotemporal traveling wave patterns in the cortex and thalamus.