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Showing 1–5 of 5 results
Advanced filters: Author: Adrien Doerig Clear advanced filters

  • Doerig, Kietzmann and colleagues show that the brain’s response to visual scenes can be modelled using language-based AI representations. By linking brain activity to caption-based embeddings from large language models, the study reveals a way to quantify complex visual understanding.

    • Adrien Doerig
    • Tim C. Kietzmann
    • Ian Charest
    ResearchOpen Access
    Nature Machine Intelligence
    Volume: 7, P: 1220-1234

  • In order to perceive moving or changing objects, sensory information must be integrated over time. Here, using a visual sequential metacontrast paradigm, the authors show that integration occurs only when subsequent stimuli are presented within a discrete window of time after the initial stimulus.

    • Leila Drissi-Daoudi
    • Adrien Doerig
    • Michael H. Herzog
    ResearchOpen Access
    Nature Communications
    Volume: 10, P: 1-8

  • Artificial neural networks are being widely used to model behavioural and neural data. In this Perspective article, Doerig et al. present neuroconnectionism as a Lakatosian research programme using artificial neural networks as a computational language for expressing falsifiable theories and hypotheses about the brain computations underlying cognition.

    • Adrien Doerig
    • Rowan P. Sommers
    • Tim C. Kietzmann
    Reviews
    Nature Reviews Neuroscience
    Volume: 24, P: 431-450

  • Theories of consciousness have a long and controversial history. One well-known proposal — integrated information theory — has recently been labeled as ‘pseudoscience’, which has caused a heated open debate. Here we discuss the case and argue that the theory is indeed unscientific because its core claims are untestable even in principle.

    • Derek H. Arnold
    • Mark G. Baxter
    • Joel S. Snyder
    Comments & Opinion
    Nature Neuroscience
    Volume: 28, P: 689-693