Marlo Paßler
@passler.bsky.social
Hey there👋 I am a philosopher working on neuroscience of consciousness, cognition, representations, AI, and related stuff!
9/
Criterion 4: Contextualization
The content of a candidate neural structure cannot be determined in isolation. The same 2D activation space could encode color (red-green/blue-yellow) or affect (valence/arousal). The difference lies in how broader networks exploit it.
Criterion 4: Contextualization
The content of a candidate neural structure cannot be determined in isolation. The same 2D activation space could encode color (red-green/blue-yellow) or affect (valence/arousal). The difference lies in how broader networks exploit it.
January 15, 2025 at 1:28 PM
9/
Criterion 4: Contextualization
The content of a candidate neural structure cannot be determined in isolation. The same 2D activation space could encode color (red-green/blue-yellow) or affect (valence/arousal). The difference lies in how broader networks exploit it.
Criterion 4: Contextualization
The content of a candidate neural structure cannot be determined in isolation. The same 2D activation space could encode color (red-green/blue-yellow) or affect (valence/arousal). The difference lies in how broader networks exploit it.
8/
Criterion 3: Exploitation
Downstream circuits must exploit the corresponding relational information of candidate neural structure. E.g., if the neural structure is only read out by winner-take-all mechanisms (which does not exploit relational information), then it fails the test.
Criterion 3: Exploitation
Downstream circuits must exploit the corresponding relational information of candidate neural structure. E.g., if the neural structure is only read out by winner-take-all mechanisms (which does not exploit relational information), then it fails the test.
January 15, 2025 at 1:28 PM
8/
Criterion 3: Exploitation
Downstream circuits must exploit the corresponding relational information of candidate neural structure. E.g., if the neural structure is only read out by winner-take-all mechanisms (which does not exploit relational information), then it fails the test.
Criterion 3: Exploitation
Downstream circuits must exploit the corresponding relational information of candidate neural structure. E.g., if the neural structure is only read out by winner-take-all mechanisms (which does not exploit relational information), then it fails the test.
4/
Why care? Because if a candidate neural structure mirrors phenomenal structure but doesn't shape the similarity reports used to scientifically approximate phenomenal structure, we get an “ant’s trail vs stock chart” situation: structural correspondence without explanatory power.
Why care? Because if a candidate neural structure mirrors phenomenal structure but doesn't shape the similarity reports used to scientifically approximate phenomenal structure, we get an “ant’s trail vs stock chart” situation: structural correspondence without explanatory power.
January 15, 2025 at 1:28 PM
4/
Why care? Because if a candidate neural structure mirrors phenomenal structure but doesn't shape the similarity reports used to scientifically approximate phenomenal structure, we get an “ant’s trail vs stock chart” situation: structural correspondence without explanatory power.
Why care? Because if a candidate neural structure mirrors phenomenal structure but doesn't shape the similarity reports used to scientifically approximate phenomenal structure, we get an “ant’s trail vs stock chart” situation: structural correspondence without explanatory power.
2/
Core idea of NPS: Phenomenal conscious experiences are relational. We capture their phenomenal structure in “quality spaces” (built from similarity reports) and can find the neural correlates of conscious contents (NCCCs) by finding neural populations with the same structure.
Core idea of NPS: Phenomenal conscious experiences are relational. We capture their phenomenal structure in “quality spaces” (built from similarity reports) and can find the neural correlates of conscious contents (NCCCs) by finding neural populations with the same structure.
January 15, 2025 at 1:28 PM
2/
Core idea of NPS: Phenomenal conscious experiences are relational. We capture their phenomenal structure in “quality spaces” (built from similarity reports) and can find the neural correlates of conscious contents (NCCCs) by finding neural populations with the same structure.
Core idea of NPS: Phenomenal conscious experiences are relational. We capture their phenomenal structure in “quality spaces” (built from similarity reports) and can find the neural correlates of conscious contents (NCCCs) by finding neural populations with the same structure.