A decision-theoretic model of multistability: perceptual switches as internal actions DOI Creative Commons
Shervin Safavi, Peter Dayan

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Дек. 11, 2024

Abstract Perceptual multistability has been studied for centuries using a diverse collection of approaches. Insights derived from this phenomenon range core principles information processing, such as perceptual inference, to high-level concerns, visual awareness. The dominant computational explanations are based on the Helmholtzian view perception inverse inference. However, these approaches struggle account crucial role played by value, e.g., with percepts paired reward dominating longer periods than unpaired ones. In study, we formulate in terms dynamic, value-based, choice, employing formalism partially observable Markov decision process (POMDP). We use binocular rivalry an example, considering different explicit and implicit sources (and punishment) each percept. resulting values time-dependent influenced novelty form exploration. solution POMDP is optimal policy, show that can replicate explain several characteristics rivalry, ranging classic hallmarks apparently spontaneous random switches approximately gamma-distributed dominance more subtle aspects rich temporal dynamics switching rates. Overall, our decision-theoretic perspective not only accounts wealth unexplained data, but also opens up modern conceptions internal reinforcement learning service understanding phenomena, sensory processing generally.

Язык: Английский

Multi‐Shank 1024 Channels Active SiNAPS Probe for Large Multi‐Regional Topographical Electrophysiological Mapping of Neural Dynamics DOI Creative Commons
Gian Nicola Angotzi, Mihály Vöröslakos, Nicholas Perentos

и другие.

Advanced Science, Год журнала: 2025, Номер unknown

Опубликована: Фев. 27, 2025

Abstract Implantable active dense CMOS neural probes unlock the possibility of spatiotemporally resolving activity hundreds single neurons in multiple brain circuits to investigate dynamics. Mapping dynamics with anatomical structures spanning several millimeters, however, remains challenging. Here, a probe advancing lateral sampling for mapping intracortical (both LFPs and spikes) awake, behaving mice from an area >4 mm 2 is demonstrated. By taking advantage SiNAPS technology modularity, 8‐shank 1024 recording channels arranged regular arrays 128 electrodes/shank electrode pitch <30 µm realized. Continuous low‐noise recordings (spikes 6.67 ± 1.02 µV RMS ) all electrodes at 20 kHz/channel demonstrate monitoring high spatial temporal resolution field view 2D lattice entire hippocampal circuit, together cortical thalamic regions. This arrangement allows combining large population unit across distributed networks precise intra‐ interlaminar/nuclear oscillatory

Язык: Английский

Процитировано

1
Spike-phase coupling patterns reveal laminar identity in primate cortex DOI Creative Commons
Zachary W. Davis, Nicholas M. Dotson, Tom P. Franken

и другие.

eLife, Год журнала: 2023, Номер 12

Опубликована: Апрель 17, 2023

The cortical column is one of the fundamental computational circuits in brain. In order to understand role neurons different layers this circuit play function it necessary identify boundaries that separate laminar compartments. While histological approaches can reveal ground truth they are not a practical means identifying vivo. gold standard for compartments electrophysiological recordings current-source density (CSD) analysis. However, CSD analysis requires averaging across reliably evoked responses target input layer cortex, which may be difficult generate less well-studied regions. Further, susceptible noise on individual channels resulting errors assigning boundaries. Here, we have analyzed linear array multiple areas both common marmoset and rhesus macaque. We describe pattern spike–field phase relationships identifies transition between deep from two non-human primate species. This measure corresponds well estimates location using CSDs, but does require or specific activity. Laminar identity estimated rapidly with as little minute ongoing data invariant many experimental parameters. method serve validate measurements might otherwise unreliable estimate when other methods practical.

Язык: Английский

Процитировано

16
Topology-dependent coalescence controls scaling exponents in finite networks DOI Creative Commons
Roxana Zeraati, Victor Buendía, Tatiana A. Engel

и другие.

Physical Review Research, Год журнала: 2024, Номер 6(2)

Опубликована: Май 6, 2024

Studies of neural avalanches across different data modalities led to the prominent hypothesis that brain operates near a critical point. The observed exponents often indicate mean-field directed-percolation universality class, leading fully connected or random network models study avalanche dynamics. However, cortical networks have distinct nonrandom features and spatial organization is known affect exponents. Here we show empirical arise in with topology depend on size. In particular, find apparent scale-free behavior appearing as quasicritical dynamics structured networks. This cannot be easily discriminated from an actual point small We local coalescence activity can explain Therefore, both system size should considered when assessing criticality observables. Published by American Physical Society 2024

Язык: Английский

Процитировано

0
A decision-theoretic model of multistability: perceptual switches as internal actions DOI Creative Commons
Shervin Safavi, Peter Dayan

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Дек. 11, 2024

Abstract Perceptual multistability has been studied for centuries using a diverse collection of approaches. Insights derived from this phenomenon range core principles information processing, such as perceptual inference, to high-level concerns, visual awareness. The dominant computational explanations are based on the Helmholtzian view perception inverse inference. However, these approaches struggle account crucial role played by value, e.g., with percepts paired reward dominating longer periods than unpaired ones. In study, we formulate in terms dynamic, value-based, choice, employing formalism partially observable Markov decision process (POMDP). We use binocular rivalry an example, considering different explicit and implicit sources (and punishment) each percept. resulting values time-dependent influenced novelty form exploration. solution POMDP is optimal policy, show that can replicate explain several characteristics rivalry, ranging classic hallmarks apparently spontaneous random switches approximately gamma-distributed dominance more subtle aspects rich temporal dynamics switching rates. Overall, our decision-theoretic perspective not only accounts wealth unexplained data, but also opens up modern conceptions internal reinforcement learning service understanding phenomena, sensory processing generally.

Язык: Английский

Процитировано

0