Radical flexibility of neural representation in frontoparietal cortex and the challenge of linking it to behaviour DOI Open Access
Y. Y. ZHENG, Runhao Lu, Alexandra Woolgar

et al.

Published: Feb. 2, 2024

While many brain networks are specialised for processing specific types of information, a network frontoparietal regions is engaged by wide range cognitive demands. Here we review recent work highlighting the flexibility information coding in these regions, including their potential to differentiate variety different and dynamic selectivity that currently relevant. But does all decodable activity constitute behaviourally meaningful brain? Examining emerging methods, find direct link behaviour can be made some, but not all, information. The data suggest flexible resource suitable creating temporary, arbitrary, associations between aspects needed each task. However, tighter field-wide focus on decoding-behaviour relationships specify how this gives rise astounding human capacity thought action.

Language: Английский

Causally informed activity flow models provide mechanistic insight into network-generated cognitive activations DOI Creative Commons
Rubén Sánchez-Romero, Takuya Ito, Ravi D. Mill

et al.

NeuroImage, Journal Year: 2023, Volume and Issue: 278, P. 120300 - 120300

Published: July 29, 2023

Brain activity flow models estimate the movement of task-evoked over brain connections to help explain network-generated task functionality. Activity have been shown accurately generate activations across a wide variety regions and conditions. However, these had limited explanatory power, given known issues with causal interpretations standard functional connectivity measures used parameterize models. We show here that functional/effective (FC) grounded in principles facilitate mechanistic interpretation progress from simple complex FC measures, each adding algorithmic details reflecting principles. This reflects many neuroscientists' preference for reduced measure complexity (to minimize assumptions, compute time, fully comprehend easily communicate methodological details), which potentially trades off validity. start Pearson correlation (the current field standard) remain maximally relevant field, estimating validity range using simulations empirical fMRI data. Finally, we apply causal-FC-based modeling dorsolateral prefrontal cortex region (DLPFC), demonstrating distributed network mechanisms contributing its strong activation during working memory task. Notably, this model is able account DLPFC effects traditionally thought rely primarily on within-region (i.e., not distributed) recurrent processes. Together, results reveal promise parameterizing methods identify underlying cognitive computations human brain.

Language: Английский

Citations

10
Flexible Organic Transistors for Color Recognition and Nature-Inspired Synaptic Function Simulation: Performance and Stability DOI
Somnath Bhattacharjee, Gargi Konwar, Anurag Dwivedi

et al.

ACS Applied Electronic Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 19, 2025

Language: Английский

Citations

0
Exploring the transmission of cognitive task information through optimal brain pathways DOI Creative Commons
Zhengdong Wang,

Yifeixue Yang,

Ziyi Huang

et al.

PLoS Computational Biology, Journal Year: 2025, Volume and Issue: 21(3), P. e1012870 - e1012870

Published: March 7, 2025

Understanding the large-scale information processing that underlies complex human cognition is central goal of cognitive neuroscience. While emerging activity flow models demonstrate task transferred by interregional functional or structural connectivity, graph-theory-based typically assume neural communication occurs via shortest path brain networks. However, whether optimal route for empirical transmission remains unclear. Based on a mapping framework, we found performance prediction with was significantly lower than direct path. The routing superior to other network strategies, including search information, ensembles, and navigation. Intriguingly, outperformed in when physical distance constraint asymmetric contribution were simultaneously considered. This study not only challenges assumption through but also suggests constrained spatial embedding network.

Language: Английский

Citations

0
Flexible sensory-motor mapping rules manifest in correlated variability of stimulus and action codes across the brain DOI Creative Commons
Ruud L. van den Brink, K. Hagena, Niklas Wilming

et al.

Neuron, Journal Year: 2022, Volume and Issue: 111(4), P. 571 - 584.e9

Published: Dec. 6, 2022

Humans and non-human primates can flexibly switch between different arbitrary mappings from sensation to action solve a cognitive task. It has remained unknown how the brain implements such flexible sensory-motor mapping rules. Here, we uncovered dynamic reconfiguration of task-specific correlated variability sensory motor regions. Human participants switched two rules for reporting visual orientation judgments during fMRI recordings. Rule switches were either signaled explicitly or inferred by ambiguous cues. We used behavioral modeling reconstruct time course their belief about active rule. In both contexts, patterns correlations ongoing fluctuations in stimulus- action-selective activity across visual- action-related regions tracked participants' The rule-specific correlation broke down around errors. conclude that internal beliefs task state are instantiated brain-wide, selective variability.

Language: Английский

Citations

16
Network modeling of dynamic brain interactions predicts emergence of neural information that supports human cognitive behavior DOI Creative Commons
Ravi D. Mill, Julia Hamilton, Emily C. Winfield

et al.

PLoS Biology, Journal Year: 2022, Volume and Issue: 20(8), P. e3001686 - e3001686

Published: Aug. 18, 2022

How cognitive task behavior is generated by brain network interactions a central question in neuroscience. Answering this calls for the development of novel analysis tools that can firstly capture neural signatures information with high spatial and temporal precision (the "where when") then allow empirical testing alternative models function link to "how"). We outline modeling approach suited purpose applied noninvasive functional neuroimaging data humans. first dynamically decoded spatiotemporal human combining MRI-individualized source electroencephalography (EEG) multivariate pattern (MVPA). A newly developed approach-dynamic activity flow modeling-then simulated task-evoked over more causally interpretable (relative standard connectivity [FC] approaches) resting-state connections (dynamic, lagged, direct, directional). demonstrate utility applying it elucidate processes underlying sensory-motor brain, revealing accurate predictions response dynamics behavior. Extending model toward simulating lesions suggested role control networks (CCNs) as primary drivers flow, transitioning from early dorsal attention network-dominated sensory-to-response transformation later collaborative CCN engagement during selection. These results dynamic identifying generative neurocognitive phenomena.

Language: Английский

Citations

15
Canonical template tracking: Measuring the activation state of specific neural representations DOI Creative Commons
Ana F. Palenciano, Mehdi Senoussi, Silvia Formica

et al.

Frontiers in Neuroimaging, Journal Year: 2023, Volume and Issue: 1

Published: Jan. 9, 2023

Multivariate analyses of neural data have become increasingly influential in cognitive neuroscience since they allow to address questions about the representational signatures neurocognitive phenomena. Here, we describe Canonical Template Tracking: a multivariate approach that employs independent localizer tasks assess activation state specific representations during execution paradigms. We illustrate benefits this methodology characterizing particular content and format task-induced representations, comparing it with standard (cross-)decoding similarity analyses. Then, discuss relevant design decisions for experiments using analysis approach, focusing on nature from which canonical templates are derived. further provide step-by-step tutorial method, stressing choices functional magnetic resonance imaging magneto/electroencephalography data. Importantly, point out potential pitfalls linked template tracking implementation interpretation results, together recommendations mitigate them. To conclude, some examples previous literature highlight theoretical neuroscience.

Language: Английский

Citations

9
A Transient High-dimensional Geometry Affords Stable Conjunctive Subspaces for Efficient Action Selection DOI Creative Commons
Atsushi Kikumoto, Apoorva Bhandari, Kazuhisa Shibata

et al.

Published: June 11, 2023

Abstract Flexible action selection requires cognitive control mechanisms capable of mapping the same inputs to different output actions depending on context. From a neural state-space perspective, this representation that separates similar input states by Additionally, for be robust and time-invariant, information must stable in time, enabling efficient readout. Here, using EEG decoding methods, we investigate how geometry dynamics representations constrain flexible human brain. Participants performed context-dependent task. A forced response procedure probed trajectories. The result shows before successful responses, there is transient expansion representational dimensionality separated conjunctive subspaces. Further, stabilizes time window, with entry into stable, high-dimensional state predictive individual trial performance. These results establish brain needs over behavior.

Language: Английский

Citations

9
Network models to enhance the translational impact of cross-species studies DOI
Julia K. Brynildsen, Kanaka Rajan, Michael X. Henderson

et al.

Nature reviews. Neuroscience, Journal Year: 2023, Volume and Issue: 24(9), P. 575 - 588

Published: July 31, 2023

Language: Английский

Citations

9
Radical flexibility of neural representation in frontoparietal cortex and the challenge of linking it to behaviour DOI Creative Commons
Y. Y. ZHENG, Runhao Lu, Alexandra Woolgar

et al.

Current Opinion in Behavioral Sciences, Journal Year: 2024, Volume and Issue: 57, P. 101392 - 101392

Published: April 20, 2024

While many brain networks are specialised for processing specific types of information, a network frontoparietal regions is engaged by wide range cognitive demands. Here, we review recent work highlighting the flexibility information coding in these regions, including their potential to differentiate variety different and dynamic selectivity that currently relevant. But does all decodable activity constitute behaviourally meaningful brain? Examining emerging methods, find direct link behaviour can be made some, but not all, information. The data suggest flexible resource suitable creating temporary arbitrary associations between aspects needed each task. However, tighter field-wide focus on decoding–behaviour relationships specify how this gives rise astounding human capacity thought action.

Language: Английский

Citations

3
Cognitive flexibility as the shifting of brain network flows by flexible neural representations DOI Creative Commons
Michael W. Cole

Current Opinion in Behavioral Sciences, Journal Year: 2024, Volume and Issue: 57, P. 101384 - 101384

Published: April 10, 2024

Our ability to overcome habitual responses in favor of goal-driven novel depends on frontoparietal cognitive control networks (CCNs). Recent and ongoing work is revealing the brain network information processes that allow CCNs generate flexibility. First, working memory necessary for flexible maintenance manipulation goal-relevant representations were recently found depend short-term plasticity (in contrast persistent activity) within CCN regions. Second, compositional (i.e. abstract reusable) rule maintained have been reroute activity flows from stimulus response, enabling behavior. Together, these findings suggest flexibility enhanced by CCN-coordinated mechanisms, utilizing reuse neural flexibly accomplish task goals.

Language: Английский

Citations

2