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SUMMARY:Rate-distortion theory of neural coding and its implications for w
 orking memory - Stella Wernicke
DTSTART:20240529T130000Z
DTEND:20240529T140000Z
UID:TALK216640@talks.cam.ac.uk
CONTACT:Adam Triabhall
DESCRIPTION:This week we will discuss and debate a very recent paper by Ja
 kob and Gershman\, published in eLife (2023).\n\nAbstract: “Rate-distort
 ion theory provides a powerful framework for understanding the nature of h
 uman memory by formalizing the relationship between information rate (the 
 average number of bits per stimulus transmitted across the memory channel)
  and distortion (the cost of memory errors). Here\, we show how this abstr
 act computational-level framework can be realized by a model of neural pop
 ulation coding. The model reproduces key regularities of visual working me
 mory\, including some that were not previously explained by population cod
 ing models. We verify a novel prediction of the model by reanalyzing recor
 dings of monkey prefrontal neurons during an oculomotor delayed response t
 ask” (Jakob & Gershman\, 2023).\n\nReference: Jakob\, A.M.V.\, & Gershma
 n\, S.J. (2023). Rate-distortion theory of neural coding and its implicati
 ons for working memory. eLife\, 12. https://doi.org/10.7554/eLife.79450
LOCATION:https://cam-ac-uk.zoom.us/j/92612577704?pwd=MUtqMjVQdXNmUTVIYjRkM
 G1NUW9GZz09
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