Signatures of hierarchical temporal processing in the mouse visual system DOI Creative Commons
Lucas Rudelt, D. Marx, F. Paul Spitzner

et al.

PLoS Computational Biology, Journal Year: 2024, Volume and Issue: 20(8), P. e1012355 - e1012355

Published: Aug. 22, 2024

A core challenge for the brain is to process information across various timescales. This could be achieved by a hierarchical organization of temporal processing through intrinsic mechanisms (e.g., recurrent coupling or adaptation), but recent evidence from spike recordings rodent visual system seems conflict with this hypothesis. Here, we used an optimized information-theoretic and classical autocorrelation analysis show that information- correlation timescales spiking activity increase along anatomical hierarchy mouse under stimulation, while predictability decreases. Moreover, spontaneous displayed similar hierarchy, whereas was stimulus-dependent. We reproduce these observations in basic network model correlated sensory input. Our findings suggest employs achieve longer integration higher cortical areas, simultaneously reducing efficient neural code.

Language: Английский

Information Propagation in Multilayer Systems with Higher-Order Interactions across Timescales DOI Creative Commons
Giorgio Nicoletti, Daniel Maria Busiello

Physical Review X, Journal Year: 2024, Volume and Issue: 14(2)

Published: April 8, 2024

Complex systems are characterized by multiple spatial and temporal scales. A natural framework to capture their multiscale nature is that of multilayer networks, where different layers represent distinct physical processes often regulate each other indirectly. We model these regulatory mechanisms through triadic higher-order interactions between nodes edges. In this work, we focus on how the timescales associated with layer impact reciprocal effective couplings. First, rigorously derive a decomposition joint probability distribution any dynamical process acting such networks. By inspecting probabilistic structure, unravel general principles governing information propagates across timescales, elucidating interplay mutual causality in systems. particular, show feedback interactions, i.e., those representing from slow fast variables, generate layers. On contrary, direct layers, can propagate only under certain conditions depend solely structure underlying introduce matrix for observables emergent functional apply our results study archetypal examples biological signaling networks environmental dependencies stochastic processes. Our generalizes dynamics paving way deeper understanding real-world shapes content complexity. Published American Physical Society 2024

Language: Английский

Citations

12

Neural timescales reflect behavioral demands in freely moving rhesus macaques DOI Creative Commons
Ana M.G. Manea, David J.-N. Maisson, Benjamin Voloh

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: March 9, 2024

Previous work demonstrated a highly reproducible cortical hierarchy of neural timescales at rest, with sensory areas displaying fast, and higher-order association slower timescales. The question arises how such stable hierarchies give rise to adaptive behavior that requires flexible adjustment temporal coding integration demands. Potentially, this lack variability in the hierarchical organization could reflect structure laboratory contexts. We posit unconstrained paradigms are ideal test whether dynamics behavioral Here we measured local field potential activity while male rhesus macaques foraged an open space. found differs from previous work. Importantly, although magnitude expanded task engagement, brain areas' relative position was stable. Next, change is dynamic contains functionally-relevant information, differentiating between similar events terms motor demands associated reward. Finally, differentially affected by these These results demonstrate space anatomically constrained, observed dependent on

Language: Английский

Citations

11

Spiking activity in the visual thalamus is coupled to pupil dynamics across temporal scales DOI Creative Commons
Davide Crombie, Martin A. Spacek, Christian Leibold

et al.

PLoS Biology, Journal Year: 2024, Volume and Issue: 22(5), P. e3002614 - e3002614

Published: May 14, 2024

The processing of sensory information, even at early stages, is influenced by the internal state animal. Internal states, such as arousal, are often characterized relating neural activity to a single “level” defined behavioral indicator pupil size. In this study, we expand understanding arousal-related modulations in systems uncovering multiple timescales dynamics and their relationship activity. Specifically, observed robust coupling between spiking mouse dorsolateral geniculate nucleus (dLGN) thalamus across spanning few seconds several minutes. Throughout all these timescales, 2 distinct modes—individual tonic spikes tightly clustered bursts spikes—preferred opposite phases dynamics. This multi-scale reveals from those captured size per se, locomotion, eye movements. Furthermore, persisted during viewing naturalistic movie, where it contributed differences encoding visual information. We conclude that dLGN under simultaneous influence processes associated with occurring over broad range timescales.

Language: Английский

Citations

10

Multiple timescales of sensory-evidence accumulation across the dorsal cortex DOI Creative Commons
Lucas Pinto, David W. Tank, Carlos D. Brody

et al.

eLife, Journal Year: 2022, Volume and Issue: 11

Published: June 16, 2022

Cortical areas seem to form a hierarchy of intrinsic timescales, but the relevance this organization for cognitive behavior remains unknown. In particular, decisions requiring gradual accrual sensory evidence over time recruit widespread across hierarchy. Here, we tested hypothesis that recruitment is related integration timescales these areas. We trained mice accumulate seconds while navigating in virtual reality and optogenetically silenced activity many cortical during different brief trial epochs. found inactivation all affected evidence-accumulation computation. Specifically, observed distinct changes weighting occurring before silencing, such frontal inactivations led stronger deficits on long than posterior ones. Inactivation subset also moderate effects behavioral processes beyond accumulation. Moreover, large-scale Ca2+ task performance displayed temporal windows. Our findings suggest timescale distributed an important component mechanisms.

Language: Английский

Citations

31

Propagation of activity through the cortical hierarchy and perception are determined by neural variability DOI Creative Commons
James M. Rowland, Thijs L. van der Plas, Matthias Loidolt

et al.

Nature Neuroscience, Journal Year: 2023, Volume and Issue: 26(9), P. 1584 - 1594

Published: Aug. 28, 2023

Abstract Brains are composed of anatomically and functionally distinct regions performing specialized tasks, but do not operate in isolation. Orchestration complex behaviors requires communication between brain regions, how neural dynamics organized to facilitate reliable transmission is well understood. Here we studied this process directly by generating activity that propagates drives behavior, assessing populations sensory cortex cooperate transmit information. We achieved imaging two densely interconnected regions—the primary secondary somatosensory (S1 S2)—in mice while two-photon photostimulation S1 neurons assigning behavioral salience the photostimulation. found probability perception determined only strength also variability activity. Therefore, maximizing signal-to-noise ratio stimulus representation relative noise or critical propagation perception.

Language: Английский

Citations

21

Intrinsic neural timescales in the temporal lobe support an auditory processing hierarchy DOI Creative Commons
Riccardo Cusinato, Sigurd L. Alnes, Ellen van Maren

et al.

Journal of Neuroscience, Journal Year: 2023, Volume and Issue: unknown, P. JN - 22

Published: April 12, 2023

During rest, intrinsic neural dynamics manifest at multiple timescales, which progressively increase along visual and somatosensory hierarchies. Theoretically, timescales are thought to facilitate processing of external stimuli stages. However, direct links between rest sensory processing, as well translation the auditory system lacking. Here, we measured intracranial EEG in 11 human patients with epilepsy (4 women), while listening pure tones. We show that, network, increase, spectral exponent flattens, from temporal entorhinal cortex, hippocampus, amygdala. Within neocortex, exhibit spatial gradients that follow lobe anatomy. Crucially, baseline can explain latency responses: so do single-electrode response onset peak latencies. Our results suggest network exhibits a repertoire dynamics, cortical millimeter resolution may provide variety windows support processing.SIGNIFICANCE STATEMENT Endogenous often characterized by their timescales. These stimuli. link timing is missing. EEG, Intrinsic variability responses sounds: electrodes fast also fast- short-lasting stimuli, hippocampus hierarchy manifests across limbic structures richness responses.

Language: Английский

Citations

12

Low-dimensional criticality embedded in high-dimensional awake brain dynamics DOI Creative Commons
Antonio J. Fontenele, J. Samuel Sooter,

V. Kindler Norman

et al.

Science Advances, Journal Year: 2024, Volume and Issue: 10(17)

Published: April 26, 2024

Whether cortical neurons operate in a strongly or weakly correlated dynamical regime determines fundamental information processing capabilities and has fueled decades of debate. We offer resolution this debate; we show that two important regimes, typically considered incompatible, can coexist the same local circuit by separating them into different subspaces. In awake mouse motor cortex, find low-dimensional subspace with large fluctuations consistent criticality-a moderate correlations multi-scale capacity transmission. Orthogonal to critical subspace, high-dimensional containing desynchronized regime, which may optimize input discrimination. The is apparent only at long timescales, explains discrepancies among some previous studies. Using computational model, emergence timescales agrees established theory dynamics. Our results suggest cortex leverages its high dimensionality multiplex regimes across

Language: Английский

Citations

5

The diversity and specificity of functional connectivity across spatial and temporal scales DOI Creative Commons
Tatiana A. Engel, Marieke L. Schölvinck, Chris Lewis

et al.

NeuroImage, Journal Year: 2021, Volume and Issue: 245, P. 118692 - 118692

Published: Oct. 29, 2021

Macroscopic neuroimaging modalities in humans have revealed the organization of brain-wide activity into distributed functional networks that re-organize according to behavioral demands. However, inherent coarse-graining macroscopic measurements conceals diversity and specificity responses connectivity many individual neurons contained each local region. New invasive approaches animals enable recording manipulating neural at meso- microscale resolution, with cell-type temporal precision down milliseconds. Determining how patterns emerge from interactions across spatial scales will allow us identify key circuit mechanisms contributing global brain states dynamic these enables adaptive behavior.

Language: Английский

Citations

24

Spatial and temporal correlations in neural networks with structured connectivity DOI Creative Commons
Yan-Liang Shi, Roxana Zeraati, Anna Levina

et al.

Physical Review Research, Journal Year: 2023, Volume and Issue: 5(1)

Published: Jan. 6, 2023

Neurons in the brain organize spatially connected networks. This analytical work shows that interactions between neurons arranged networks generate correlated fluctuations on multiple spatial and temporal scales. The scales of correlations are interdependent jointly defined by connectivity profile.

Language: Английский

Citations

11

Evidence for Multiscale Multiplexed Representation of Visual Features in EEG DOI
Hamid Karimi-Rouzbahani

Neural Computation, Journal Year: 2024, Volume and Issue: 36(3), P. 412 - 436

Published: Feb. 16, 2024

Abstract Distinct neural processes such as sensory and memory are often encoded over distinct timescales of activations. Animal studies have shown that this multiscale coding strategy is also implemented for individual components a single process, features multifeature stimulus in coding. However, the generalizability encoding to human brain has remained unclear. We asked if visual stimuli were timescales. applied time-resolved decoding method electroencephalography (EEG) collected from subjects presented with grating estimate timescale features. observed orientation color shorter timescales, whereas spatial frequency contrast same longer The appeared temporally overlapping windows along trial supporting multiplexed strategy. These results provide evidence multiplexed, system.

Language: Английский

Citations

4