Publications
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Face familiarity detection with complex synapses
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Neural ensembles in navigation: From single cells to population codes
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Minimum perturbation theory of deep perceptual learning
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Associative memory of structured knowledge
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Cortical-hippocampal coupling during manifold exploration in motor cortex
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Sparse RNNs can support high-capacity classification
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A large-scale neural network training framework for generalized estimation of single-trial population dynamics
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Input correlations impede suppression of chaos and learning in balanced firing-rate networks
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Optimal Quadratic Binding for Relational Reasoning in Vector Symbolic Neural Architectures
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Coordinated multiplexing of information about separate objects in visual cortex
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Modeling and inference methods for switching regime-dependent dynamical systems with multiscale neural observations
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Unraveling the Entangled Brain: How Do We Go About It?
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A deep learning framework for inference of single-trial neural population dynamics from calcium imaging with subframe temporal resolution
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The tricky business of defining brain functions
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Systematic reduction of the dimensionality of natural scenes allows accurate predictions of retinal ganglion cell spike outputs
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Feature representation under crowding in macaque V1 and V4 neuronal populations
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Neural Mechanisms that Make Perceptual Decisions Flexible
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Neural circuit dynamics of drug-context associative learning in the mouse hippocampus
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Refinements to rodent head fixation and fluid/food control for neuroscience
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From Rats to Humans: how novel behavioral paradigms and reinforcement learning can bridge the gap in translation
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Dual-polarity voltage imaging of the concurrent dynamics of multiple neuron types
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Attractor and integrator networks in the brain
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Imagination as a fundamental function of the hippocampus
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The implications of categorical and category-free mixed selectivity on representational geometries
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Visual and motor signatures of locomotion dynamically shape a population code for feature detection in Drosophila
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A unified theory for the computational and mechanistic origins of grid cells
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Measuring the dimensionality of behavior
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Neural representational geometry underlies few-shot concept learning
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Coding of latent variables in sensory, parietal, and frontal cortices during closed-loop virtual navigation
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Learning shapes cortical dynamics to enhance integration of relevant sensory input
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Modeling and inference methods for switching regime-dependent dynamical systems with multiscale neural observations
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Behavioural and dopaminergic signatures of resilience
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Visuomotor learning promotes visually evoked activity in the medial prefrontal cortex
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Optimal noise level for coding with tightly balanced networks of spiking neurons in the presence of transmission delays
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A consensus statement on detection of hippocampal sharp wave ripples and differentiation from other fast oscillations
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A topological solution to object segmentation and tracking
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Next-generation brain observatories
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Structured random receptive fields enable informative sensory encodings
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Flexible neural control of motor units
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Recurrent neural networks with explicit representation of dynamic latent variables can mimic behavioral patterns in a physical inference task
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The Neurodata Without Borders ecosystem for neurophysiological data science
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Ultraflexible electrode arrays for months-long high-density electrophysiological mapping of thousands of neurons in rodents
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Correcting motion induced fluorescence artifacts in two-channel neural imaging
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Thalamus-driven functional populations in frontal cortex support decision-making
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Motor cortical influence relies on task-specific activity covariation
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Deep learning for neural decoding in motor cortex
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Wireless multi-lateral optofluidic microsystems for real-time programmable optogenetics and photopharmacology
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Independent response modulation of visual cortical neurons by attentional and behavioral states