| dc.creator | Vinck, Martin | |
| dc.creator | Uran, Cem | |
| dc.creator | Spyropoulos, Georgios | |
| dc.creator | Broggini, Ana Clara | |
| dc.creator | Schneider, Marius | |
| dc.creator | Canales-Johnson, Andrés F. | |
| dc.date | 2023-04-18T15:32:45Z | |
| dc.date | 2023-04-18T15:32:45Z | |
| dc.date | 2023 | |
| dc.date.accessioned | 2024-05-02T20:31:04Z | |
| dc.date.available | 2024-05-02T20:31:04Z | |
| dc.identifier | http://repositorio.ucm.cl/handle/ucm/4700 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/9274940 | |
| dc.description | What mechanisms underlie flexible inter-areal communication in the cortex? We consider four mechanisms for temporal coordination and their contributions to communication: (1) Oscillatory synchronization (communication-through-coherence); (2) communication-through-resonance; (3) non-linear integration; and (4) linear signal transmission (coherence-through-communication). We discuss major challenges for communication-through-coherence based on layer- and cell-type-specific analyses of spike phase-locking, heterogeneity of dynamics across networks and states, and computational models for selective communication. We argue that resonance and non-linear integration are viable alternative mechanisms that facilitate computation and selective communication in recurrent networks. Finally, we consider communication in relation to cortical hierarchy and critically examine the hypothesis that feedforward and feedback communication use fast (gamma) and slow (alpha/beta) frequencies, respectively. Instead, we propose that feedforward propagation of prediction errors relies on the non-linear amplification of aperiodic transients, whereas gamma and beta rhythms represent rhythmic equilibrium states that facilitate sustained and efficient information encoding and amplification of short-range feedback via resonance. | |
| dc.language | en | |
| dc.rights | Atribución-NoComercial-SinDerivadas 3.0 Chile | |
| dc.rights | http://creativecommons.org/licenses/by-nc-nd/3.0/cl/ | |
| dc.source | Neuron, 111(7), 987-1002 | |
| dc.title | Principles of large-scale neural interactions | |
| dc.type | Article | |
