The European Physical Journal Plus, Journal Year: 2025, Volume and Issue: 140(3)
Published: March 7, 2025
Language: Английский
Trends in Cognitive Sciences, Journal Year: 2024, Volume and Issue: 28(4), P. 352 - 368
Published: Jan. 9, 2024
To explain how the brain orchestrates information-processing for cognition, we must understand information itself. Importantly, is not a monolithic entity. Information decomposition techniques provide way to split into its constituent elements: unique, redundant, and synergistic information. We review disentangling redundant interactions redefining our understanding of integrative function neural organisation. navigates trade-offs between redundancy synergy, converging evidence integrating structural, molecular, functional underpinnings synergy redundancy; their roles in cognition computation; they might arise over evolution development. Overall, provides guiding principle informational architecture cognition.
Language: Английский
Citations
63
Communications Biology, Journal Year: 2023, Volume and Issue: 6(1)
Published: April 24, 2023
One of the most well-established tools for modeling brain is functional connectivity network, which constructed from pairs interacting regions. While powerful, network model limited by restriction that only pairwise dependencies are considered and potentially higher-order structures missed. Here, we explore how multivariate information theory reveals in human brain. We begin with a mathematical analysis O-information, showing analytically numerically it related to previously established theoretic measures complexity. then apply O-information data, synergistic subsystems widespread Highly typically sit between canonical networks, may serve an integrative role. use simulated annealing find maximally subsystems, finding such systems comprise ≈10 regions, recruited multiple systems. Though ubiquitous, highly invisible when considering connectivity, suggesting form kind shadow structure has been unrecognized network-based analyses. assert interactions represent under-explored space that, accessible theory, offer novel scientific insights.
Language: Английский
Citations
55
Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)
Published: June 4, 2024
Abstract Functional interactions between brain regions can be viewed as a network, enabling neuroscientists to investigate function through network science. Here, we systematically evaluate 768 data-processing pipelines for reconstruction from resting-state functional MRI, evaluating the effect of parcellation, connectivity definition, and global signal regression. Our criteria seek that minimise motion confounds spurious test-retest discrepancies topology, while being sensitive both inter-subject differences experimental effects interest. We reveal vast systematic variability across pipelines’ suitability connectomics. Inappropriate choice pipeline produce results are not only misleading, but so, with majority failing at least one criterion. However, set optimal consistently satisfy all different datasets, spanning minutes, weeks, months. provide full breakdown each pipeline’s performance inform future best practices in
Language: Английский
Citations
22
eLife, Journal Year: 2023, Volume and Issue: 12
Published: July 25, 2023
How is the information-processing architecture of human brain organised, and how does its organisation support consciousness? Here, we combine network science a rigorous information-theoretic notion synergy to delineate ‘synergistic global workspace’, comprising gateway regions that gather synergistic information from specialised modules across brain. This then integrated within workspace widely distributed via broadcaster regions. Through functional MRI analysis, show correspond brain’s default mode network, whereas broadcasters coincide with executive control network. We find loss consciousness due general anaesthesia or disorders corresponds diminished ability integrate information, which restored upon recovery. Thus, coincides breakdown integration work contributes conceptual empirical reconciliation between two prominent scientific theories consciousness, Global Neuronal Workspace Integrated Information Theory, while also advancing our understanding supports through information.
Language: Английский
Citations
31
PLoS ONE, Journal Year: 2023, Volume and Issue: 18(3), P. e0282950 - e0282950
Published: March 23, 2023
A core feature of complex systems is that the interactions between elements in present causally constrain their own futures, and futures other as system evolves through time. To fully model all these (between elements, well ensembles elements), it possible to decompose total information flowing from past future into a set non-overlapping temporal describe different modes by which can be stored, transferred, or modified. achieve this, I propose novel information-theoretic measure dependency ( τsx ) based on logic local probability mass exclusions. This integrated decomposition reveal emergent higher-order within dynamics system, refining existing measures. demonstrate utility this framework, apply spontaneous spiking activity recorded dissociated neural cultures rat cerebral cortex show how processing are distributed over system. Furthermore, being localizable analysis, provide insight computational structure single moments. explore time-resolved neuronal avalanches find types atoms have distinct profiles course an avalanche, with majority non-trivial happening before first half cascade completed. These analyses allow us move beyond historical focus measures such transfer integration, panoply relationships (and groups elements) systems.
Language: Английский
Citations
26
Entropy, Journal Year: 2022, Volume and Issue: 24(7), P. 930 - 930
Published: July 5, 2022
The varied cognitive abilities and rich adaptive behaviors enabled by the animal nervous system are often described in terms of information processing. This framing raises issue how biological neural circuits actually process information, some most fundamental outstanding questions neuroscience center on understanding mechanisms Classical theory has long been understood to be a natural framework within which processing can understood, recent advances field multivariate offer new insights into structure computation complex systems. In this review, we provide an introduction conceptual practical issues associated with using analyze circuits, as well discussing empirical work vein. Specifically, accessible
Language: Английский
Citations
31
Trends in Cognitive Sciences, Journal Year: 2023, Volume and Issue: 27(11), P. 1068 - 1084
Published: Sept. 15, 2023
Network neuroscience has emphasized the connectional properties of neural elements - cells, populations, and regions. This come at expense anatomical functional connections that link these to one another. A new perspective namely emphasizes 'edges' may prove fruitful in addressing outstanding questions network neuroscience. We highlight recently proposed 'edge-centric' method review its current applications, merits, limitations. also seek establish conceptual mathematical links between this previously approaches science neuroimaging literature. conclude by presenting several avenues for future work extend refine existing edge-centric analysis.
Language: Английский
Citations
22
Network Neuroscience, Journal Year: 2024, Volume and Issue: 8(2), P. 597 - 622
Published: Jan. 1, 2024
Abstract Recent studies have explored functional and effective neural networks in animal models; however, the dynamics of information propagation among modules under cognitive control remain largely unknown. Here, we addressed issue using transfer entropy graph theory methods on mesoscopic activities recorded dorsal premotor cortex rhesus monkeys. We focused our study decision time a Stop-signal task, looking for patterns network configuration that could influence motor plan maturation when Stop signal is provided. When comparing trials with successful inhibition to those generated movement, nodes resulted organized into four clusters, hierarchically arranged, distinctly involved transfer. Interestingly, hierarchies strength transmission between clusters varied throughout distinguishing movements canceled ones corresponding measurable levels complexity. Our results suggest putative mechanism cortex: topological reshuffle exchanged ensembles neurons.
Language: Английский
Citations
8
eLife, Journal Year: 2024, Volume and Issue: 12
Published: July 18, 2024
How is the information-processing architecture of human brain organised, and how does its organisation support consciousness? Here, we combine network science a rigorous information-theoretic notion synergy to delineate ‘synergistic global workspace’, comprising gateway regions that gather synergistic information from specialised modules across brain. This then integrated within workspace widely distributed via broadcaster regions. Through functional MRI analysis, show correspond brain’s default mode network, whereas broadcasters coincide with executive control network. We find loss consciousness due general anaesthesia or disorders corresponds diminished ability integrate information, which restored upon recovery. Thus, coincides breakdown integration work contributes conceptual empirical reconciliation between two prominent scientific theories consciousness, Global Neuronal Workspace Integrated Information Theory, while also advancing our understanding supports through information.
Language: Английский
Citations
8
Current Biology, Journal Year: 2024, Volume and Issue: 34(9), P. 1831 - 1843.e7
Published: April 10, 2024
The coordination of neural activity across brain areas during a specific behavior is often interpreted as communication involved in controlling the behavior. However, whether information relevant to actually transferred between untested. Here, we used information-theoretic tools quantify how motor cortex and striatum encode exchange behaviorally about reach-to-grasp movement features skill learning rats. We found temporal shift encoding learning, well reversal primary direction flow, from cortex-to-striatum naive movements striatum-to-cortex skilled movements. Standard analytical methods that evolution overall learning-such changes signal amplitude or areas-failed capture these dynamics. Using standard methods, instead consistent coactivation signals production bidirectional increase propagation learning. Our results show achieved through transformation routed cortical subcortical isolating components informative critical uncover directional interactions within coactive coordinated network.
Language: Английский
Citations
7