Predicting distributed working memory activity in a large-scale mouse brain: the importance of the cell type-specific connectome DOI Creative Commons
Xingyu Ding, Seán Froudist‐Walsh, Jorge Jaramillo

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2022, Volume and Issue: unknown

Published: Dec. 5, 2022

Abstract Recent advances in connectome and neurophysiology make it possible to probe whole-brain mechanisms of cognition behavior. We developed a large-scale model the mouse multiregional brain for cardinal cognitive function called working memory, brain’s ability internally hold process information without sensory input. The is built on mesoscopic data inter-areal cortical connections endowed with macroscopic gradient measured parvalbumin-expressing interneuron density. found that memory coding distributed yet exhibits modularity; spatial pattern mnemonic representation determined by long-range cell type-specific targeting density classes. Cell graph measures predict activity patterns core subnetwork maintenance. shows numerous self-sustained internal states (each engaging distinct subset areas). This work provides framework interpret recordings during cognition, while highlighting need connectomics.

Language: Английский

Gradients of neurotransmitter receptor expression in the macaque cortex DOI Creative Commons
Seán Froudist‐Walsh, Ting Xu, Meiqi Niu

et al.

Nature Neuroscience, Journal Year: 2023, Volume and Issue: 26(7), P. 1281 - 1294

Published: June 19, 2023

Abstract Dynamics and functions of neural circuits depend on interactions mediated by receptors. Therefore, a comprehensive map receptor organization across cortical regions is needed. In this study, we used in vitro autoradiography to measure the density 14 neurotransmitter types 109 areas macaque cortex. We integrated data with anatomical, genetic functional connectivity into common space. uncovered principal gradient expression per neuron. This aligns hierarchy from sensory cortex higher cognitive areas. A second gradient, driven serotonin 5-HT 1A receptors, peaks anterior cingulate, default mode salience networks. found similar pattern human brain. Thus, may be promising translational model serotonergic processing disorders. The gradients enable rapid, reliable information slow, flexible integration

Language: Английский

Citations

59
Theory of the Multiregional Neocortex: Large-Scale Neural Dynamics and Distributed Cognition DOI Creative Commons
Xiao‐Jing Wang

Annual Review of Neuroscience, Journal Year: 2022, Volume and Issue: 45(1), P. 533 - 560

Published: July 8, 2022

The neocortex is a complex neurobiological system with many interacting regions. How these regions work together to subserve flexible behavior and cognition has become increasingly amenable rigorous research. Here, I review recent experimental theoretical on the modus operandi of multiregional cortex. These studies revealed several general principles for neocortical interareal connectivity, low-dimensional macroscopic gradients biological properties across cortical areas, hierarchy timescales information processing. Theoretical suggests testable predictions regarding differential excitation inhibition along feedforward feedback pathways in hierarchy. Furthermore, modeling distributed working memory simple decision-making given rise novel mathematical concept, dubbed bifurcation space, that potentially explains how different canonical circuit organization but heterogeneities, are able their respective (e.g., sensory coding versus executive control) functions modularly organized brain.

Language: Английский

Citations

58
Bistability of prefrontal states gates access to consciousness DOI Open Access
Abhilash Dwarakanath, Vishal Kapoor,

Joachim Werner

et al.

Neuron, Journal Year: 2023, Volume and Issue: 111(10), P. 1666 - 1683.e4

Published: March 14, 2023

Language: Английский

Citations

23
Cell type-specific connectome predicts distributed working memory activity in the mouse brain DOI Creative Commons
Xingyu Ding, Seán Froudist‐Walsh, Jorge Jaramillo

et al.

eLife, Journal Year: 2024, Volume and Issue: 13

Published: Jan. 4, 2024

Recent advances in connectomics and neurophysiology make it possible to probe whole-brain mechanisms of cognition behavior. We developed a large-scale model the multiregional mouse brain for cardinal cognitive function called working memory, brain’s ability internally hold process information without sensory input. The is built on mesoscopic connectome data interareal cortical connections endowed with macroscopic gradient measured parvalbumin-expressing interneuron density. found that memory coding distributed yet exhibits modularity; spatial pattern mnemonic representation determined by long-range cell type-specific targeting density classes. Cell graph measures predict activity patterns core subnetwork maintenance. shows numerous attractor states, which are self-sustained internal states (each engaging distinct subset areas). This work provides framework interpret recordings during cognition, while highlighting need connectomics.

Language: Английский

Citations

7
Is artificial consciousness achievable? Lessons from the human brain DOI Creative Commons
Michele Farisco, Kathinka Evers,

Jean‐Pierre Changeux

et al.

Neural Networks, Journal Year: 2024, Volume and Issue: 180, P. 106714 - 106714

Published: Sept. 7, 2024

Language: Английский

Citations

4
Unpacking the Complexities of Consciousness: Theories and Reflections DOI Creative Commons
Liad Mudrik, Mélanie Boly,

Stanislas Dehaene

et al.

Neuroscience & Biobehavioral Reviews, Journal Year: 2025, Volume and Issue: unknown, P. 106053 - 106053

Published: Feb. 1, 2025

As the field of consciousness science matures, research agenda has expanded from an initial focus on neural correlates consciousness, to developing and testing theories consciousness. Several have been put forward, each aiming elucidate relationship between brain function. However, there is ongoing, intense debate regarding whether these examine same phenomenon. And, despite ongoing efforts, it seems like so far failed converge around any single theory, instead exhibits significant polarization. To advance this discussion, proponents five prominent consciousness-Global Neuronal Workspace Theory (GNWT), Higher-Order Theories (HOT), Integrated Information (IIT), Recurrent Processing (RPT), Predictive (PP)-engaged in a public 2022, as part annual meeting Association for Scientific Study Consciousness (ASSC). They were invited clarify explananda their theories, articulate core mechanisms underpinning corresponding explanations, outline foundational premises. This was followed by open discussion that delved into testability potential evidence could refute them, areas consensus disagreement. Most importantly, demonstrated at stage, more controversy than agreement pertaining most basic questions what is, how identify conscious states, required theory Addressing crucial advancing towards deeper understanding comparison competing theories.

Language: Английский

Citations

0
Distributed evidence accumulation across macaque large-scale neocortical networks during perceptual decision making DOI Creative Commons

Licheng Zou,

Nicola Palomero‐Gallagher, Douglas Zhou

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 27, 2023

Despite the traditional view of parietal cortex as an important region for perceptual decision-making, recent evidence suggests that sensory accumulation occurs simultaneously across many cortical regions. We explored this hypothesis by integrating connectivity, cellular and receptor density datasets building a large-scale macaque model able to integrate conflicting signals perform decision-making task. Our results reveal supported distributed network temporal, frontal regions, with flexible sequential bottom-up or top-down modulation pathways depending on task difficulty. The replicates experimental lesioning effects reveals causal irrelevance areas like LIP decision performance is explained compensatory mechanisms within integration process. also reproduces observed temporal gating distractor timing during after Overall, our work hints at broad phenomenon, providing multiple testable predictions.

Language: Английский

Citations

5
Bifurcation in space: Emergence of function modularity in the neocortex DOI Creative Commons
Xiao‐Jing Wang, Junjie Jiang, Roxana Zeraati

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: June 6, 2023

How does functional modularity emerge in a cortex composed of repeats canonical local circuit? Focusing on distributed working memory, we show that rigorous description bifurcation space describes the emergence modularity. A connectome-based model monkey displays during decision-making and demonstrating this new concept's generality. In generative multi-regional models both macaque mouse, found an inverted-V-shaped profile neuronal timescales across cortical hierarchy providing experimentally testable prediction The simultaneously many bifurcations space, so corresponding modules could potentially subserve distinct internal mental processes. Therefore, process subserves brain's specificity. We propose resulting from connectivity macroscopic gradients neurobiological properties cortex, represents fundamental principle for understanding modular organization.

Language: Английский

Citations

4
Predicting distributed working memory activity in a large-scale mouse brain: the importance of the cell type-specific connectome DOI Creative Commons
Xingyu Ding, Seán Froudist‐Walsh, Jorge Jaramillo

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2022, Volume and Issue: unknown

Published: Dec. 5, 2022

Abstract Recent advances in connectome and neurophysiology make it possible to probe whole-brain mechanisms of cognition behavior. We developed a large-scale model the mouse multiregional brain for cardinal cognitive function called working memory, brain’s ability internally hold process information without sensory input. The is built on mesoscopic data inter-areal cortical connections endowed with macroscopic gradient measured parvalbumin-expressing interneuron density. found that memory coding distributed yet exhibits modularity; spatial pattern mnemonic representation determined by long-range cell type-specific targeting density classes. Cell graph measures predict activity patterns core subnetwork maintenance. shows numerous self-sustained internal states (each engaging distinct subset areas). This work provides framework interpret recordings during cognition, while highlighting need connectomics.

Language: Английский

Citations

7