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  1. Parametric control of flexible timing through low-dimensional neural manifolds

    Publication

  2. Parametric control of flexible timing through low-dimensional neural manifolds

    Publication

  3. A large-scale neural network training framework for generalized estimation of single-trial population dynamics

    Publication

  4. Recurrent neural networks with explicit representation of dynamic latent variables can mimic behavioral patterns in a physical inference task

    Publication

  5. Interpreting neural computations by examining intrinsic and embedding dimensionality of neural activity

    Publication
    The ongoing exponential rise in recording capacity calls for new approaches for analysing and interpreting neural data. Effective dimensionality has emerged as an important property of neural activity …

  6. A precise and adaptive neural mechanism for predictive temporal processing in the frontal cortex

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    The theory of predictive processing posits that the brain computes expectations to process information predictively. Empirical evidence in support of this theory, however, is scarce and largely limited …

  7. Neural Encoding and Representation of Time for Sensorimotor Control and Learning

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    The ability to perceive and produce movements in the real world with precise timing is critical for survival in animals, including humans. However, research on sensorimotor timing has …

  8. A Network Perspective on Sensorimotor Learning

    Publication
    What happens in the brain when we learn? Ever since the foundational work of Cajal, the field has made numerous discoveries as to how experience could change the …

  9. Reinforcement regulates timing variability in thalamus

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    Learning reduces variability but variability can facilitate learning. This paradoxical relationship has made it challenging to tease apart sources of variability that degrade performance from those that improve …

  10. An Open Resource for Non-human Primate Optogenetics

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    Optogenetics has revolutionized neuroscience in small laboratory animals, but its effect on animal models more closely related to humans, such as non-human primates (NHPs), has been mixed …

  11. Low-dimensional dynamics for working memory and time encoding

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    Our decisions often depend on multiple sensory experiences separated by time delays. The brain can remember these experiences and, simultaneously, estimate the timing between events. To understand the …

  12. Engineering recurrent neural networks from task-relevant manifolds and dynamics

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    Many cognitive processes involve transformations of distributed representations in neural populations, creating a need for population-level models. Recurrent neural network models fulfill this need, but there are …

  13. A neural circuit model for human sensorimotor timing

    Publication
    Humans and animals can effortlessly coordinate their movements with external stimuli. This capacity indicates that sensory inputs can rapidly and flexibly reconfigure the ongoing dynamics in the neural …

  14. Distinct spatiotemporal mechanisms underlie extra-classical receptive field modulation in macaque V1 microcircuits.

    Publication
    Complex scene perception depends upon the interaction between signals from the classical receptive field (CRF) and the extra-classical receptive field (eCRF) in primary visual cortex (V1) neurons …

  15. Internal models of sensorimotor integration regulate cortical dynamics

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    Sensorimotor control during overt movements is characterized in terms of three building blocks: a controller, a simulator and a state estimator. We asked whether the same framework could …

  16. Bayesian Computation through Cortical Latent Dynamics

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    Statistical regularities in the environment create prior beliefs that we rely on to optimize our behavior when sensory information is uncertain. Bayesian theory formalizes how prior beliefs can …

  17. Hierarchical reasoning by neural circuits in the frontal cortex.

    Publication
    Humans process information hierarchically. In the presence of hierarchies, sources of failures are ambiguous. Humans resolve this ambiguity by assessing their confidence after one or more attempts. To …

  18. Entrainment and maintenance of an internal metronome in supplementary motor area.

    Publication
    To prepare timely motor actions we constantly predict future events. Regularly repeating events are often perceived as a rhythm to which we can readily synchronize our movements, just …

  19. A Dynamical Systems Perspective on Flexible Motor Timing.

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    A hallmark of higher brain function is the ability to rapidly and flexibly adjust behavioral responses based on internal and external cues. Here, we examine the computational principles …

  20. Flexible Sensorimotor Computations through Rapid Reconfiguration of Cortical Dynamics.

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    Neural mechanisms that support flexible sensorimotor computations are not well understood. In a dynamical system whose state is determined by interactions among neurons, computations can be rapidly reconfigured …

  21. Integration of speed and time for estimating time to contact.

    Publication
    To coordinate movements with events in a dynamic environment the brain has to anticipate when those events occur. A classic example is the estimation of time to contact …

  22. A cerebellar mechanism for learning prior distributions of time intervals

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    Knowledge about the statistical regularities of the world is essential for cognitive and sensorimotor function. In the domain of timing, prior statistics are crucial for optimal prediction, adaptation …

  23. Flexible timing by temporal scaling of cortical responses.

    Publication
    Musicians can perform at different tempos, speakers can control the cadence of their speech, and children can flexibly vary their temporal expectations of events. To understand the neural …