Kriegeskorte Lab

@KriegeskorteLab

Nikolaus Kriegeskorte tweeting — mostly about vision, neural networks, and open brain science

Vrijeme pridruživanja: lipanj 2014.

Medijski sadržaj

  1. 12. sij

    theoretical computer science compressed into 10 brilliant minutes...

  2. 18. pro 2019.

    New paper by Tovar et al. from Alexander Maier's lab decoding grating orientation and stimulated eye as a function of V1 layer of origin, time past stimulus onset, and repetition--constraints for understanding the computations in the cortical microcircuit.

  3. 12. pro 2019.

    Great great-debate teams...

  4. 12. pro 2019.

    Bullocks! Solidly descending...

  5. 4. pro 2019.

    Open review: "Can parameter-free associative lateral connectivity boost generalization performance of CNNs?" about a new paper by Montobbio et al.

  6. 10. stu 2019.
    Odgovor korisnicima

    do share. would be good to get a recent take on all this from someone who has studied it properly. i found this year's ICML tutorial on population-based search inspiring...

  7. 7. lis 2019.

    New paper: Recurrence is required to capture the representational dynamics of the human visual system by et al.

  8. 3. lis 2019.

    Can we incentivise early (and continual) sharing of data, stimuli, tasks, analyses, and models by giving credit through authorship? For example, sharers could define parameters (eg a time period) within which they expect to be offered coauthorship.

  9. 15. ruj 2019.

    Debate with Rosalyn Moran, Karl Friston, and Jeff Beck

  10. 15. ruj 2019.

    Jeff Beck: the Free Energy Principle is a framework, not a (falsifiable) theory, providing limited constraints on model. ( and cited on slide)

  11. 15. ruj 2019.

    Jeff Beck in his opening statement at : FEP is not a theory

  12. 15. ruj 2019.

    Karl Friston delivering his opening statement...

  13. 15. ruj 2019.

    Rosalyn Moran opening the Challenges and Controversies session on the Free Energy Principle

  14. 14. ruj 2019.

    Beyond model-free RPE, dopamine in VTA and NAc reflects value derived from a model of task structure.

  15. 14. ruj 2019.

    A human EEG signature of urgency in perceptual decisions as reflected in collapsing decision bounds

  16. 14. ruj 2019.

    Roshan Cools in her keynote argues that neuromodulators adjust cognitive tradeoffs to situational requirements, in particular frontal and striatal dopamine levels may control the tradeoff between cognitive stability and flexibility.

  17. 14. ruj 2019.

    Optimizing a neural net model for odor classification can help us understand why flies and mice evolved the same particular architecture and even quantitative aspects of connectivity.

  18. 14. ruj 2019.

    Learning divisive normalization weights in a convolutional model of V1 neural responses to natural images suggests normalization among similar features. The model provides a nice compromise between interpretability and predictive power between classical LN and DNN models.

  19. 14. ruj 2019.

    Great keynote by on abstract representations of state transition graphs including those underlying 2d environments at

  20. 13. ruj 2019.

    Six ancient innate abstract systems of core knowledge according to Liz Spelke at

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