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  1. A general decoding strategy explains the relationship between behavior and correlated variability

    Publication
    Improvements in perception are frequently accompanied by decreases in correlated variability in sensory cortex. This relationship is puzzling because overall changes in correlated variability should minimally affect optimal …

  2. Internally generated population activity in cortical networks hinders information transmission

    Publication
    How neuronal variability affects sensory coding is a central question in systems neuroscience, often with complex and model-dependent answers. Many studies explore population models with a parametric …

  3. Large-scale neural recordings call for new insights to link brain and behavior

    Publication
    Neuroscientists today can measure activity from more neurons than ever before, and are facing the challenge of connecting these brain-wide neural recordings to computation and behavior. In …

  4. Recurrent network dynamics shape direction selectivity in primary auditory cortex

    Publication
    Detecting the direction of frequency modulation (FM) is essential for vocal communication in both animals and humans. Direction-selective firing of neurons in the primary auditory cortex (A1 …

  5. Editorial overview: Computational neuroscience.

    Publication

  6. Correlation transfer by layer 5 cortical neurons under recreated synaptic inputs in vitro.

    Publication
    Correlated electrical activity in neurons is a prominent characteristic of cortical microcircuits. Despite a growing amount of evidence concerning both spike-count and subthreshold membrane potential pairwise correlations …

  7. Bridging large-scale neuronal recordings and large-scale network models using dimensionality reduction.

    Publication
    A long-standing goal in neuroscience has been to bring together neuronal recordings and neural network modeling to understand brain function. Neuronal recordings can inform the development of …

  8. Circuit Models of Low-Dimensional Shared Variability in Cortical Networks

    Publication
    Trial-to-trial variability is a reflection of the circuitry and cellular physiology that make up a neuronal network. A pervasive yet puzzling feature of cortical circuits is …

  9. Training and Spontaneous Reinforcement of Neuronal Assemblies by Spike Timing Plasticity

    Publication
    The synaptic connectivity of cortex is plastic, with experience shaping the ongoing interactions between neurons. Theoretical studies of spike timing-dependent plasticity (STDP) have focused on either just …

  10. Population activity structure of excitatory and inhibitory neurons

    Publication
    To date, these methods have treated each neuron equally, without taking into account whether neurons are excitatory or inhibitory. We studied population activity structure as a function of …

  11. Once upon a (slow) time in the land of recurrent neuronal networks

    Publication
    The brain must both react quickly to new inputs as well as store a memory of past activity. This requires biology that operates over a vast range of …

  12. The spatial structure of correlated neuronal variability

    Publication
    Shared neural variability is ubiquitous in cortical populations. While this variability is presumed to arise from overlapping synaptic input, its precise relationship to local circuit architecture remains unclear …