A set of hub neurons and non-local connectivity features support global brain dynamics in C. elegans DOI Creative Commons
Kerem Uzel, Saul Kato, Manuel Zimmer

et al.

Current Biology, Journal Year: 2022, Volume and Issue: 32(16), P. 3443 - 3459.e8

Published: July 8, 2022

The wiring architecture of neuronal networks is assumed to be a strong determinant their dynamical computations. An ongoing effort in neuroscience therefore generate comprehensive synapse-resolution connectomes alongside brain-wide activity maps. However, the structure-function relationship, i.e., how anatomical connectome and dynamics relate each other on global scale, remains unsolved. Systematically, comparing graph features C. elegans with correlations nervous system-wide dynamics, we found that few local connectivity motifs mostly non-local such as triplet input similarities can predict functional relationships between neurons. Surprisingly, quantities connection strength amount common inputs do not improve these predictions, suggesting network's topology sufficient. We demonstrate hub neurons are key relevant features. Consistently, inhibition multiple specifically disrupts correlations. Thus, propose set provide an substrate for brain dynamics.

Language: Английский

Random-access wide-field mesoscopy for centimetre-scale imaging of biodynamics with subcellular resolution DOI Creative Commons
Ruheng Shi, Xinyue Chen, Junhao Deng

et al.

Nature Photonics, Journal Year: 2024, Volume and Issue: 18(7), P. 721 - 730

Published: April 17, 2024

Abstract Benefitting from the advantages of high imaging throughput and low cost, wide-field microscopy has become indispensable in biomedical studies. However, it remains challenging to record biodynamics with a large field view spatiotemporal resolution due limited space–bandwidth product. Here we propose random-access (RA-WiFi) mesoscopy for vivo over 163.84 mm 2 area spatial ~2.18 μm. We extend beyond nominal value objective by enlarging object distance, which leads lower angle, followed correction optical aberrations. also implement scanning structured illumination, enables optical-sectioning capability contrast. The multi-plane makes technique suitable curved-surface samples. demonstrate RA-WiFi multi-modal imaging, including bright-field, dark-field multi-colour fluorescence imaging. Specifically, apply calcium cortex-wide neural network activities awake mice vivo, under both physiological pathological conditions. show its unique three-dimensional random access irregular regions interest via biodynamic mouse spinal cords vivo. As compact, low-cost mesoscope capability, will enable broad applications study biological systems.

Language: Английский

Citations

10
Structured Dynamics in the Algorithmic Agent DOI Creative Commons
Giulio Ruffini, Francesca Castaldo, Jakub Vohryzek

et al.

Entropy, Journal Year: 2025, Volume and Issue: 27(1), P. 90 - 90

Published: Jan. 19, 2025

In the Kolmogorov Theory of Consciousness, algorithmic agents utilize inferred compressive models to track coarse-grained data produced by simplified world models, capturing regularities that structure subjective experience and guide action planning. Here, we study dynamical aspects this framework examining how requirement tracking natural drives structural properties agent. We first formalize notion a generative model using language symmetry from group theory, specifically employing Lie pseudogroups describe continuous transformations characterize invariance in data. Then, adopting generic neural network as proxy for agent system drawing parallels Noether’s theorem physics, demonstrate forces mirror model. This dual constraint on agent’s constitutive parameters repertoire enforces hierarchical organization consistent with manifold hypothesis network. Our findings bridge perspectives information theory (Kolmogorov complexity, modeling), (group theory), dynamics (conservation laws, reduced manifolds), offering insights into correlates agenthood structured systems, well design artificial intelligence computational brain.

Language: Английский

Citations

1
Detection and neural encoding of whisker-generated sounds in mice DOI

B.G. Efron,

Athanasios Ntelezos,

Yonatan Katz

et al.

Current Biology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Citations

1
Three aspects of representation in neuroscience DOI
Ben Baker, Benjamin Lansdell, Konrad P. Körding

et al.

Trends in Cognitive Sciences, Journal Year: 2022, Volume and Issue: 26(11), P. 942 - 958

Published: Sept. 26, 2022

Language: Английский

Citations

38
A set of hub neurons and non-local connectivity features support global brain dynamics in C. elegans DOI Creative Commons
Kerem Uzel, Saul Kato, Manuel Zimmer

et al.

Current Biology, Journal Year: 2022, Volume and Issue: 32(16), P. 3443 - 3459.e8

Published: July 8, 2022

The wiring architecture of neuronal networks is assumed to be a strong determinant their dynamical computations. An ongoing effort in neuroscience therefore generate comprehensive synapse-resolution connectomes alongside brain-wide activity maps. However, the structure-function relationship, i.e., how anatomical connectome and dynamics relate each other on global scale, remains unsolved. Systematically, comparing graph features C. elegans with correlations nervous system-wide dynamics, we found that few local connectivity motifs mostly non-local such as triplet input similarities can predict functional relationships between neurons. Surprisingly, quantities connection strength amount common inputs do not improve these predictions, suggesting network's topology sufficient. We demonstrate hub neurons are key relevant features. Consistently, inhibition multiple specifically disrupts correlations. Thus, propose set provide an substrate for brain dynamics.

Language: Английский

Citations

36