Evidence for Globalized Consciousness

AI Thread Summary
Recent research by Max Planck scientists has demonstrated that visual awareness in macaque monkeys is reflected in the lateral prefrontal cortex (LPFC) as well as the temporal lobe, suggesting a more complex understanding of consciousness. The study utilized ambiguous visual stimuli to show that neural activity in the LPFC correlates with the monkeys' perceptions, supporting the "frontal lobe hypothesis" of conscious visual perception. This finding indicates that consciousness may not be localized to a single area but rather involves multiple brain regions working together. The discussion highlights the ongoing debate between localized and distributed theories of consciousness, emphasizing that both perspectives may coexist. Overall, the integration of neural activity across different cortical areas is crucial for understanding the nature of conscious experience.
  • #51
atyy said:
Thanks for the Hesselmann reference. It's terrific!

Do you have any more recommendations for reading work of similar quality about spontaneous activity? Just glancing at Hesselmann's references, it looks like (4) and (5) are in the same spirit.

I would say (26)-(30) from that paper, if you are interested in what spontaneous activity actually is and what it relates do (which is mostly unknown).

There are some more by Hesselman (note that they claim their studies as evidence for predictive coding, which I mentioned earlier):

http://www.unicog.org/publications/sadaghiani-fnsy.pdf
http://www.jneurosci.org/content/28/53/14481.full
http://www.jneurosci.org/content/29/42/13410.full

The motion one is basically the same study as the Hesselman study you already read but based on motion coherence rather than the Rubin vase.
 
Biology news on Phys.org
  • #52
madness said:
I would say (26)-(30) from that paper, if you are interested in what spontaneous activity actually is and what it relates do (which is mostly unknown).

There are some more by Hesselman (note that they claim their studies as evidence for predictive coding, which I mentioned earlier):

http://www.unicog.org/publications/sadaghiani-fnsy.pdf
http://www.jneurosci.org/content/28/53/14481.full
http://www.jneurosci.org/content/29/42/13410.full

The motion one is basically the same study as the Hesselman study you already read but based on motion coherence rather than the Rubin vase.

Thank you very much! I'm like it that they are also looking at auditory tasks! I am very interested in spontaneous activity and neural variability, but was completely unaware of the functional imaging work on it. (I did know the approaches associated with Knill and Pouget.) One of the things that spontaneous activity (or neural variability) is supposed to do is enable "trial and error" learning. It's a long line of thought from Sutton and Barto's reinforcement learning, and also the theme of recent work in singing birds, and motor learning. Is there any functional imaging work on this?

Hmm, glancing through the Sadaghiani review on which Friston is a co-author, I don't see any mention of it, although Friston has worked on cholinergic plasticity, which I associate with theories of the synaptic rules underlying reinforcement learning.
 
Last edited:
  • #53
atyy said:
Thank you very much! I'm like it that they are also looking at auditory tasks! I am very interested in spontaneous activity and neural variability, but was completely unaware of the functional imaging work on it. (I did know the approaches associated with Knill and Pouget.) One of the things that spontaneous activity (or neural variability) is supposed to do is enable "trial and error" learning. It's a long line of thought from Sutton and Barto's reinforcement learning, and also the theme of recent work in singing birds, and motor learning. Is there any functional imaging work on this?

Hmm, glancing through the Sadaghiani review on which Friston is a co-author, I don't see any mention of it, although Friston has worked on cholinergic plasticity, which I associate with theories of the synaptic rules underlying reinforcement learning.

I'm not sure about the relation to reinforcement learning, it's not something I've ever read into very deeply.
 
Back
Top