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  1. Modeling Neural Activity with Conditionally Linear Dynamical Systems

    Publication
    Neural population activity exhibits complex, nonlinear dynamics, varying in time, over trials, and across experimental conditions. Here, we develop Conditionally Linear Dynamical System (CLDS) models as a general …

  2. A General Framework for Inferring Bayesian Ideal Observer Models from Psychophysical Data

    Publication

  3. Correcting motion induced fluorescence artifacts in two-channel neural imaging

    Publication
    … other methods of motion correction tested, the best of which were ~8x more accurate than control.

  4. Probing the Relationship Between Latent Linear Dynamical Systems and Low-Rank Recurrent Neural Network Models

    Publication
    A large body of work has suggested that neural populations exhibit low-dimensional dynamics during behavior. However, there are a variety of different approaches for modeling low-dimensional …

  5. Reduced neural activity but improved coding in rodent higher-order visual cortex during locomotion

    Publication
    Running profoundly alters stimulus-response properties in mouse primary visual cortex (V1), but its effect in higher-order visual cortex is under-explored. Here we systematically investigate how …

  6. Detecting and correcting false transients in calcium imaging

    Publication
    Population recordings of calcium activity are a major source of insight into neural function. Large datasets require automated processing, but this can introduce errors that are difficult to …

  7. Opponent control of behavior by dorsomedial striatal pathways depends on task demands and internal state

    Publication
    A classic view of the striatum holds that activity in direct and indirect pathways oppositely modulates motor output. Whether this involves direct control of movement, or reflects a …

  8. Mice alternate between discrete strategies during perceptual decision-making

    Publication
    Classical models of perceptual decision-making assume that subjects use a single, consistent strategy to form decisions, or that decision-making strategies evolve slowly over time. Here we …

  9. Neural Anatomy and Optical Microscopy (NAOMi) Simulation for evaluating calcium imaging methods

    Publication
    Background: The past decade has seen a multitude of new in vivo functional imaging methodologies. However, the lack of ground-truth comparisons or evaluation metrics makes the large …

  10. Extracting the dynamics of behavior in sensory decision-making experiments

    Publication
    Decision-making strategies evolve during training and can continue to vary even in well-trained animals. However, studies of sensory decision-making tend to characterize behavior in terms …

  11. Modeling statistical dependencies in multi-region spike train data

    Publication
    Neural computations underlying cognition and behavior rely on the coordination of neural activity across multiple brain areas. Understanding how brain areas interact to process information or generate behavior …

  12. Poisson balanced spiking networks

    Publication
    An important problem in computational neuroscience is to understand how networks of spiking neurons can carry out various computations underlying behavior. Balanced spiking networks (BSNs) provide a powerful …

  13. Prefrontal cortex exhibits multidimensional dynamic encoding during decision-making

    Publication
    Recent work has suggested that the prefrontal cortex (PFC) plays a key role in context-dependent perceptual decision-making. In this study, we addressed that role using a …

  14. Inferring synaptic inputs from spikes with a conductance-based neural encoding model.

    Publication
    Descriptive statistical models of neural responses generally aim to characterize the mapping from stimuli to spike responses while ignoring biophysical details of the encoding process. Here, we introduce …

  15. A simple linear readout of MT supports motion direction-discrimination performance.

    Publication
    Motion discrimination is a well-established model system for investigating how sensory signals are used to form perceptual decisions. Classic studies relating single-neuron activity in the middle …

  16. Unsupervised identification of the internal states that shape natural behavior

    Publication
    Internal states shape stimulus responses and decision-making, but we lack methods to identify them. To address this gap, we developed an unsupervised method to identify internal states …

  17. Error-correcting dynamics in visual working memory

    Publication
    Working memory is critical to cognition, decoupling behavior from the immediate world. Yet, it is imperfect; internal noise introduces errors into memory representations. Such errors have been shown …

  18. Discrete Stepping and Nonlinear Ramping Dynamics Underlie Spiking Responses of LIP Neurons during Decision-Making.

    Publication
    Neurons in LIP exhibit ramping trial-averaged responses during decision-making. Recent work sparked debate over whether single-trial LIP spike trains are better described by discrete "stepping …

  19. Adaptive stimulus selection for multi-alternative psychometric functions with lapses.

    Publication
    Psychometric functions (PFs) quantify how external stimuli affect behavior, and they play an important role in building models of sensory and cognitive processes. Adaptive stimulus-selection methods seek …

  20. Lawful tracking of visual motion in humans, macaques, and marmosets in a naturalistic, continuous, and untrained behavioral context.

    Publication
    Much study of the visual system has focused on how humans and monkeys integrate moving stimuli over space and time. Such assessments of spatiotemporal integration provide fundamental grounding …

  21. Systematic misperceptions of 3-D motion explained by Bayesian inference.

    Publication
    People make surprising but reliable perceptual errors. Here, we provide a unified explanation for systematic errors in the perception of three-dimensional (3-D) motion. To do so …

  22. Dethroning the Fano Factor: A Flexible, Model-Based Approach to Partitioning Neural Variability.

    Publication
    Neurons in many brain areas exhibit high trial-to-trial variability, with spike counts that are overdispersed relative to a Poisson distribution. Recent work (Goris, Movshon, & Simoncelli, 2014 …

  23. Capturing the Dynamical Repertoire of Single Neurons with Generalized Linear Models.

    Publication
    A key problem in computational neuroscience is to find simple, tractable models that are nevertheless flexible enough to capture the response properties of real neurons. Here we examine …

  24. Functional dissection of signal and noise in MT and LIP during decision-making

    Publication
    During perceptual decision-making, responses in the middle temporal (MT) and lateral intraparietal (LIP) areas appear to map onto theoretically defined quantities, with MT representing instantaneous motion evidence …