Inferring context-dependent computations through linear approximations of prefrontal cortex dynamics DOI Creative Commons
Joana Soldado-Magraner, Valerio Mante, Maneesh Sahani

et al.

Science Advances, Journal Year: 2024, Volume and Issue: 10(51)

Published: Dec. 18, 2024

The complex neural activity of prefrontal cortex (PFC) is a hallmark cognitive processes. How these rich dynamics emerge and support computations largely unknown. Here, we infer mechanisms underlying the context-dependent integration sensory inputs by fitting dynamical models to PFC population responses behaving monkeys. A class implementing linear driven external accurately captured within contexts revealed equally performing mechanisms. One model implemented recurrent relied on transient input amplification; other subtle contextual modulations inputs, providing constraints attentional effects in areas required explain flexible behavior. Both properties that were not apparent from qualitative descriptions responses. By revealing are quantitatively consistent with cortical dynamics, our modeling approach provides principled general framework link computation.

Language: Английский

Auditory Cortex Learns to Discriminate Audiovisual Cues through Selective Multisensory Enhancement DOI Open Access
Song Chang,

Beilin Zheng,

Les Keniston

et al.

Published: Nov. 20, 2024

Multisensory object discrimination is essential in everyday life, yet the neural mechanisms underlying this process remain unclear. In study, we trained rats to perform a two-alternative forced-choice task using both auditory and visual cues. Our findings reveal that multisensory perceptual learning actively engages cortex (AC) neurons audiovisual processing. Importantly, many AC exhibited experience-dependent associations between their preferences, displaying unique integration model. This model employed selective enhancement for specific auditory-visual pairings, which facilitated improved discrimination. Additionally, effectively distinguished whether preferred stimulus was paired with its associated distinct integrative mechanism. results highlight capability of sensory cortices develop sophisticated strategies, adapting demands enhance abilities.

Language: Английский

Citations

0
Auditory Cortex Learns to Discriminate Audiovisual Cues through Selective Multisensory Enhancement DOI Open Access
Song Chang,

Beilin Zheng,

Les Keniston

et al.

Published: Nov. 20, 2024

Multisensory object discrimination is essential in everyday life, yet the neural mechanisms underlying this process remain unclear. In study, we trained rats to perform a two-alternative forced-choice task using both auditory and visual cues. Our findings reveal that multisensory perceptual learning actively engages cortex (AC) neurons audiovisual processing. Importantly, many AC exhibited experience-dependent associations between their preferences, displaying unique integration model. This model employed selective enhancement for auditory-visual pairing guiding contralateral choice, which correlated with improved discrimination. Furthermore, effectively distinguished whether preferred stimulus was paired its associated distinct integrative mechanism. results highlight capability of sensory cortices develop sophisticated strategies, adapting demands enhance abilities.

Language: Английский

Citations

0
Inferring context-dependent computations through linear approximations of prefrontal cortex dynamics DOI Creative Commons
Joana Soldado-Magraner, Valerio Mante, Maneesh Sahani

et al.

Science Advances, Journal Year: 2024, Volume and Issue: 10(51)

Published: Dec. 18, 2024

The complex neural activity of prefrontal cortex (PFC) is a hallmark cognitive processes. How these rich dynamics emerge and support computations largely unknown. Here, we infer mechanisms underlying the context-dependent integration sensory inputs by fitting dynamical models to PFC population responses behaving monkeys. A class implementing linear driven external accurately captured within contexts revealed equally performing mechanisms. One model implemented recurrent relied on transient input amplification; other subtle contextual modulations inputs, providing constraints attentional effects in areas required explain flexible behavior. Both properties that were not apparent from qualitative descriptions responses. By revealing are quantitatively consistent with cortical dynamics, our modeling approach provides principled general framework link computation.

Language: Английский

Citations

0