Albert gives an invited talk at COSYNE 2022
Albert gave one of the invited talks at Cosyne 2022, presenting recent work from the lab, and contributed by Klaus, David, Joao and Heike.
He systematically explained delay-dependent biases observed in monkeys and humans while they perform a visuo-spatial delayed response task. He showed how cardinal repulsion, precision errors and attraction to previous locations (serial bias) can all be accounted for by a bump-attractor model.
He went on to test, and validate, model predictions for each of these biases in neural data from monkey prefrontal cortex. He discussed how each type of bias might be functionally related to a distinct measure of neural activity sensitive to temporal delay.
Furthermore, he underscored ongoing collaborations between the lab and local clinicians, and showed data from neuropsychiatric patients (schizophrenia and anti-GluN1 encephalitis) that demonstrate a selective reduction in serial bias. The later might reflect reduced synaptic facilitation and failure to reactivate the memory trace from the previous trial in patients.
His talk provided a compelling example of how simple tasks and computational approaches can provide valuable insights in the etiology or diagnosis of patient populations.
Plus, if you did not notice during the meeting, check now how those Python plots can be Zoom-in and out as he explains them! Why would you want to use Keynote or Powerpoint when you can code your talk from first principles.