Neural interactions in the human frontal cortex dissociate reward and punishment learning DOI Creative Commons
Etienne Combrisson, Ruggero Basanisi, Maëlle C. M. Gueguen

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: May 2, 2023

How human prefrontal and insular regions interact while maximizing rewards minimizing punishments is unknown. Capitalizing on intracranial recordings, we demonstrate that the functional specificity toward reward or punishment learning better disentangled by interactions compared to local representations. Prefrontal cortices display non-selective neural populations punishments. Non-selective responses, however, give rise context-specific interareal interactions. We identify a subsystem with redundant between orbitofrontal ventromedial cortices, driving role of latter. In addition, find dorsolateral insula. Finally, switching mediated synergistic two subsystems. These results provide unifying explanation distributed cortical representations supporting learning.

Language: Английский

Predictive learning shapes the representational geometry of the human brain DOI Creative Commons
Antonino Greco, Julia Moser, Hubert Preißl

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: March 7, 2024

Predictive coding theories propose that the brain constantly updates its internal models of world to minimize prediction errors and optimize sensory processing. However, neural mechanisms link encoding optimization representations remain unclear. Here, we provide direct evidence how predictive learning shapes representational geometry human brain. We recorded magnetoencephalography (MEG) in participants listening acoustic sequences with different levels regularity. Representational similarity analysis revealed how, through learning, aligned match statistical structure inputs, by clustering temporally contiguous predictable stimuli. Crucially, found areas magnitude shift correlated strength errors. Furthermore, using partial information decomposition that, were processed a synergistic network high-level associative areas. Importantly, precition predicted alignment during learning. Our findings large-scale interactions engaged processing modulate content areas, which may enhance efficiency perceptual response regularities environment.

Language: Английский

Citations

2
Neural interactions in the human frontal cortex dissociate reward and punishment learning DOI Creative Commons
Etienne Combrisson, Ruggero Basanisi, Maëlle C. M. Gueguen

et al.

eLife, Journal Year: 2024, Volume and Issue: 12

Published: June 28, 2024

How human prefrontal and insular regions interact while maximizing rewards minimizing punishments is unknown. Capitalizing on intracranial recordings, we demonstrate that the functional specificity toward reward or punishment learning better disentangled by interactions compared to local representations. Prefrontal cortices display non-selective neural populations punishments. Non-selective responses, however, give rise context-specific interareal interactions. We identify a subsystem with redundant between orbitofrontal ventromedial cortices, driving role of latter. In addition, find dorsolateral insula. Finally, switching mediated synergistic two subsystems. These results provide unifying explanation distributed cortical representations supporting learning.

Language: Английский

Citations

2
Neural interactions in the human frontal cortex dissociate reward and punishment learning DOI Creative Commons
Etienne Combrisson, Ruggero Basanisi, Maëlle C. M. Gueguen

et al.

eLife, Journal Year: 2023, Volume and Issue: 12

Published: Nov. 9, 2023

How human prefrontal and insular regions interact while maximizing rewards minimizing punishments is unknown. Capitalizing on intracranial recordings, we demonstrate that the functional specificity toward reward or punishment learning better disentangled by interactions compared to local representations. Prefrontal cortices display non-selective neural populations punishments. Non-selective responses, however, give rise context-specific interareal interactions. We identify a subsystem with redundant between orbitofrontal ventromedial cortices, driving role of latter. In addition, find dorsolateral insula. Finally, switching mediated synergistic two subsystems. These results provide unifying explanation distributed cortical representations supporting learning.

Language: Английский

Citations

4
A taxonomy of neuroscientific strategies based on interaction orders DOI
M. Neri, Andrea Brovelli, Samy Castro

et al.

Authorea (Authorea), Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 1, 2024

In recent decades, neuroscience has advanced with increasingly sophisticated strategies for recording and analyzing brain activity, enabling detailed investigations into the roles of functional units, such as individual neurons, regions, their interactions. Recently, new investigation cognitive functions regard study higher-order interactions---that is, interactions involving more than two regions or neurons. While methods focusing on units at various levels offer valuable often complementary insights, each approach comes its own set limitations. this context, a conceptual map to categorize locate diverse could be crucial orient researchers guide future research directions. To end, we define spectrum orders interaction, namely framework that categorizes among neurons based number elements involved in these We use simulation toy model few case studies demonstrate utility challenges exploration spectrum. conclude by proposing directions aimed enhancing our understanding function cognition through nuanced methodological framework.

Language: Английский

Citations

1
Neural interactions in the human frontal cortex dissociate reward and punishment learning DOI Creative Commons
Etienne Combrisson, Ruggero Basanisi, Maëlle C. M. Gueguen

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: May 2, 2023

How human prefrontal and insular regions interact while maximizing rewards minimizing punishments is unknown. Capitalizing on intracranial recordings, we demonstrate that the functional specificity toward reward or punishment learning better disentangled by interactions compared to local representations. Prefrontal cortices display non-selective neural populations punishments. Non-selective responses, however, give rise context-specific interareal interactions. We identify a subsystem with redundant between orbitofrontal ventromedial cortices, driving role of latter. In addition, find dorsolateral insula. Finally, switching mediated synergistic two subsystems. These results provide unifying explanation distributed cortical representations supporting learning.

Language: Английский

Citations

1