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#behaviournotvalue — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #behaviournotvalue, aggregated by home.social.

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  1. 10/12
    All taken together:

    • reward value does not influence replay rates, inviting a re-examination of previous findings
    • Instead, behavioural state has a clear influence on ‘enabling’ replay; more movement, even below the usual speed threshold of 5 cm/s, leads to less replay.
    • recency strongly influences replay, during wakefulness and sleep
    • local replay specifically helps bind newly-recruited place cells into the #CognitiveMap
    • the relative replay rates of episodes during sleep can be predicted by how far back in the past the episode happened and how much it has been replayed since

    #HippocampalReplay #BehaviourNotValue #RecencyEffect
    10/12

  2. 10/12
    All taken together:

    • reward value does not influence replay rates, inviting a re-examination of previous findings
    • Instead, behavioural state has a clear influence on ‘enabling’ replay; more movement, even below the usual speed threshold of 5 cm/s, leads to less replay.
    • recency strongly influences replay, during wakefulness and sleep
    • local replay specifically helps bind newly-recruited place cells into the #CognitiveMap
    • the relative replay rates of episodes during sleep can be predicted by how far back in the past the episode happened and how much it has been replayed since

    #HippocampalReplay #BehaviourNotValue #RecencyEffect
    10/12

  3. 10/12
    All taken together:

    • reward value does not influence replay rates, inviting a re-examination of previous findings
    • Instead, behavioural state has a clear influence on ‘enabling’ replay; more movement, even below the usual speed threshold of 5 cm/s, leads to less replay.
    • recency strongly influences replay, during wakefulness and sleep
    • local replay specifically helps bind newly-recruited place cells into the #CognitiveMap
    • the relative replay rates of episodes during sleep can be predicted by how far back in the past the episode happened and how much it has been replayed since

    #HippocampalReplay #BehaviourNotValue #RecencyEffect
    10/12

  4. 10/12
    All taken together:

    • reward value does not influence replay rates, inviting a re-examination of previous findings
    • Instead, behavioural state has a clear influence on ‘enabling’ replay; more movement, even below the usual speed threshold of 5 cm/s, leads to less replay.
    • recency strongly influences replay, during wakefulness and sleep
    • local replay specifically helps bind newly-recruited place cells into the #CognitiveMap
    • the relative replay rates of episodes during sleep can be predicted by how far back in the past the episode happened and how much it has been replayed since

    #HippocampalReplay #BehaviourNotValue #RecencyEffect
    10/12

  5. 10/12
    All taken together:

    • reward value does not influence replay rates, inviting a re-examination of previous findings
    • Instead, behavioural state has a clear influence on ‘enabling’ replay; more movement, even below the usual speed threshold of 5 cm/s, leads to less replay.
    • recency strongly influences replay, during wakefulness and sleep
    • local replay specifically helps bind newly-recruited place cells into the #CognitiveMap
    • the relative replay rates of episodes during sleep can be predicted by how far back in the past the episode happened and how much it has been replayed since

    #HippocampalReplay #BehaviourNotValue #RecencyEffect
    10/12