Simons- Workshop: Physics of neural circuits and network dynamics

  1. Title:
    Mesoscopic mean-field models for spiking neural networks

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  2. Title:
    Statistical Mechanics of Generalization in Kernel Machines and Deep Networks in the Infinite-Width Limit

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  3. Title:
    Dimensionality, Information and Learning in Prefrontal Cortex

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  4. Title:
    How will we do mathematics in 2030?

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  5. Title:
    Multistable, metastable, and quasi-stable attractor states in cognitive processing

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  6. Title:
    TBA

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    TBA

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  8. Title:
    Causal Emergence: Can Macro Beat Micro?

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  9. Title:
    Discovering interpretable models of neural population dynamics from data

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  10. Title:
    What is being computed where in the ventral visual stream and beyond

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  12. Title:
    Metastable attractors explain the variable timing of stable behavioral action sequences

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  13. Title:
    TBA

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  14. Title:
    Information flow in excitatory and inhibitory cortical circuits

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  15. Title:
    A maximum entropy combinatorial code for two quite different neural systems

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  16. Title:
    Disparity as a tool to understand how cortical neurons exploit the statistics of the natural environment

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  17. Title:
    Stimulus-choice population code (mis)alignment in the middle temporal cortex during perceptual decision-making

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  18. Title:
    TBA

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  19. Title:
    The geometry of abstract neural representations

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  20. Title:
    Reverse Engineering Visual Intelligence

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