conn2res: A toolbox for connectome-based reservoir computing

Research Square (Research Square), Год журнала: 2023, Номер unknown

Опубликована: Июнь 28, 2023

Abstract The connection patterns of neural circuits form a complex network. How signaling in these manifests as cognition and adaptive behaviour remains the central question neuroscience. Concomitant advances connectomics artificial intelligence open fundamentally new opportunities to understand how shape computational capacity biological brain networks. Reservoir computing is versatile paradigm that uses nonlinear dynamics high-dimensional dynamical systems perform computations approximate cognitive functions. Here we present conn2res: an open-source Python toolbox for implementing networks conn2res modular, allowing arbitrary architectures be imposed. allows researchers input connectomes reconstructed using multiple techniques, from tract tracing noninvasive diffusion imaging, impose systems, simple spiking neurons memristive dynamics. versatility us ask questions at confluence neuroscience intelligence. By reconceptualizing function computation, sets stage more mechanistic understanding structure-function relationships

Язык: Английский

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The Phylotypic Brain of Vertebrates, from Neural Tube Closure to Brain Diversification

Brain Behavior and Evolution, Год журнала: 2024, Номер 99(1), С. 45 - 68

Опубликована: Янв. 1, 2024

<b><i>Background:</i></b> The phylotypic or intermediate stages are thought to be the most evolutionary conserved throughout embryonic development. contrast with divergent early and later derived from concept of evo-devo hourglass model. Nonetheless, this developmental constraint has been studied as a whole embryo process, not at organ level. In review, we explore brain development assess existence an equivalent hourglass. specific case vertebrates, propose split into: (1) <i>Early</i>: Neurulation, when neural tube arises after gastrulation. (2) <i>Intermediate</i>: Brain patterning segmentation, neuromere identities established. (3) <i>Late</i>: Neurogenesis maturation, neurons acquire their functionality. Moreover, extend analysis other chordates unravel origin constraint. <b><i>Summary:</i></b> Based on existing literature, hypothesise that major conservation might due pleiotropy inductive regulatory networks, which predominantly expressed stage. turn, earlier such neurulation rather mechanical processes, whose networks seem adapt environment maternal geometries. also controlled by but effector genes mostly tissue-specific functional, allowing diverse programs generate current diversity. all highly interconnected: must have vertebrate shared end product reproduce brain, boundaries transcription factor code established during will set bauplan for specialised diversified adult brain. <b><i>Key Messages:</i></b> is stages, mechanisms occur these mid-development (Inducing Regulatory Networks) present stages. Oppositely, processes cell interactions functional neuronal more majoritarian in late development, respectively. These phenomena create transcriptomic diversity evolution, really bottleneck around

Язык: Английский

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Generative network modeling reveals quantitative definitions of bilateral symmetry exhibited by a whole insect brain connectome

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2022, Номер unknown

Опубликована: Ноя. 28, 2022

Abstract Comparing connectomes can help explain how neural connectivity is related to genetics, disease, development, learning, and behavior. However, making statistical inferences about the significance nature of differences between two networks an open problem, such analysis has not been extensively applied nanoscale connectomes. Here, we investigate this problem via a case study on bilateral symmetry larval Drosophila brain connectome. We translate notions “bilateral symmetry” generative models network structure left right hemispheres, allowing us test refine our understanding symmetry. find significant in connection probabilities both across entire specific cell types. By rescaling or removing certain edges based weight, also present adjusted definitions exhibited by This work shows from inform connectomes, facilitating future comparisons structures.

Язык: Английский

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