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Showing 1–10 of 10 results
Advanced filters: Author: Valerio Mante Clear advanced filters

  • Behavioural experiments to study decision-making in response to context-dependent accumulation of evidence provide testable models that are consistent with the heterogeneity in neural signatures among rats that perform well in trials.

    • Marino Pagan
    • Vincent D. Tang
    • Carlos D. Brody
    ResearchOpen Access
    Nature
    Volume: 639, P: 421-429

  • Aoi et al. used a new dimensionality-reduction method to disentangle the contributions of different task variables to neural population activity, which revealed rotational dynamics in monkey PFC during context-dependent decision-making.

    • Mikio C. Aoi
    • Valerio Mante
    • Jonathan W. Pillow
    Research
    Nature Neuroscience
    Volume: 23, P: 1410-1420

  • This study shows that in monkeys making context-dependent decisions, task-relevant and task-irrelevant signals are confusingly intermixed in single units of the prefrontal cortex, but are readily understood in the framework of a dynamical process unfolding at the level of the population; a recurrently connected neural network model reproduces key features of the data and suggests a novel mechanism for selection and integration of task-relevant evidence towards a decision.

    • Valerio Mante
    • David Sussillo
    • William T. Newsome
    Research
    Nature
    Volume: 503, P: 78-84

  • Activity in a neural population arises from both its inputs and its recurrent connections. Here the authors show that analyzing the dynamics of trial-to-trial variability in activity can offer insights into delineating these contributions.

    • Aniruddh R. Galgali
    • Maneesh Sahani
    • Valerio Mante
    Research
    Nature Neuroscience
    Volume: 26, P: 326-338

  • The use of deep neural networks for the automated analysis of behavioural videos has emerged as a tool in neuroscience, medicine and psychology. Marks and colleagues present a pipeline capable of tracking and identifying animals, as well as classifying individual and interacting animal behaviour in video recordings and even in complex environments.

    • Markus Marks
    • Qiuhan Jin
    • Mehmet Fatih Yanik
    Research
    Nature Machine Intelligence
    Volume: 4, P: 331-340

  • Ehret et al. uncover neural activity patterns in the prefrontal cortex that link sensory stimuli to learned behavioral responses by isolating interpretable activity patterns that are shared among mice performing the same task.

    • Benjamin Ehret
    • Roman Boehringer
    • Benjamin F. Grewe
    ResearchOpen Access
    Nature Neuroscience
    Volume: 27, P: 1805-1815

  • A new method for analysing change in high-dimensional data is based on nearest-neighbour statistics and is applied here to song dynamics during vocal learning in zebra finches, but could potentially be applied to other biological and artificial behaviours.

    • Sepp Kollmorgen
    • Richard H. R. Hahnloser
    • Valerio Mante
    Research
    Nature
    Volume: 577, P: 526-530

  • A key component of learning involves updating existing motor plans in response to altered sensory feedback. By using a brain–computer interface, Golub et al. show how such learning changes the activity of neural populations in primary motor cortex—and how it does not.

    • Aniruddh R. Galgali
    • Valerio Mante
    News & Views
    Nature Neuroscience
    Volume: 21, P: 459-460