Stochastic Wiring of Cell Types Enhances Fitness by Generating Phenotypic Variability DOI Creative Commons

Divyansha Lachi,

Ann Huang,

Augustine N. Mavor-Parker

и другие.

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

Опубликована: Авг. 8, 2024

Abstract The development of neural connectivity is a crucial biological process that gives rise to diverse brain circuits and behaviors. Neural stochastic process, but this stochasticity often treated as nuisance overcome rather than functional advantage. Here we use computational model, in which connection probabilities between discrete cell types are genetically specified, investigate the benefits wiring. We show model can be viewed generalization powerful class artificial networks—Bayesian networks—where each network parameter sample from distribution. Our results reveal confers greater benefit large networks variable environments, may explain its role organisms with larger brains. Surprisingly, find average fitness over population agents higher single agent defined by probability. reveals how developmental stochasticity, inducing form non-heritable phenotypic variability, increase probability at least some individuals will survive rapidly changing, unpredictable environments. suggest an important feature bug development.

Язык: Английский

À l’origine du vivant, la différence sans hiérarchie(s) DOI Creative Commons
Jean‐Christophe Pagès

médecine/sciences, Год журнала: 2025, Номер 41(3), С. 282 - 285

Опубликована: Март 1, 2025

Процитировано

0
Toward a probabilistic definition of neural cell types DOI Creative Commons
Mahéva Andriatsilavo, Bassem A. Hassan

Current Opinion in Neurobiology, Год журнала: 2025, Номер 92, С. 103035 - 103035

Опубликована: Май 6, 2025

A classical view of cell type relies on a definite set stable properties that are critical for brain functions. Single-cell technologies led to an extensive multimodal characterization nervous systems and perhaps achieved one Santiago Ramón y Cajal's dreams: unveil comprehensive the composition. While global analyses structures highlight degree mesoscale stereotypy, finer-scale resolution composition shows significant variance in essential neural cellular phenotypes, including morphology, gene expression, electrophysiology, connectivity. This highlights need novel conceptualization definition "cell type." The challenge modern classification is thus integrate various distinct into unifying descriptor.

Язык: Английский

Процитировано

0
Tile by tile: capturing the evolutionary mosaic of human conditions DOI
Nicolò Caporale, Oliviero Leonardi, Carlo Emanuele Villa

и другие.

Current Opinion in Genetics & Development, Год журнала: 2024, Номер 90, С. 102297 - 102297

Опубликована: Дек. 19, 2024

Язык: Английский

Процитировано

1
Stochastic Wiring of Cell Types Enhances Fitness by Generating Phenotypic Variability DOI Creative Commons

Divyansha Lachi,

Ann Huang,

Augustine N. Mavor-Parker

и другие.

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

Опубликована: Авг. 8, 2024

Abstract The development of neural connectivity is a crucial biological process that gives rise to diverse brain circuits and behaviors. Neural stochastic process, but this stochasticity often treated as nuisance overcome rather than functional advantage. Here we use computational model, in which connection probabilities between discrete cell types are genetically specified, investigate the benefits wiring. We show model can be viewed generalization powerful class artificial networks—Bayesian networks—where each network parameter sample from distribution. Our results reveal confers greater benefit large networks variable environments, may explain its role organisms with larger brains. Surprisingly, find average fitness over population agents higher single agent defined by probability. reveals how developmental stochasticity, inducing form non-heritable phenotypic variability, increase probability at least some individuals will survive rapidly changing, unpredictable environments. suggest an important feature bug development.

Язык: Английский

Процитировано

0