The cognitive critical brain: modulation of criticality in perception-related cortical regions DOI Creative Commons
Xingyu Liu,

Xiaotian Fei,

Jia Liu

и другие.

NeuroImage, Год журнала: 2024, Номер 305, С. 120964 - 120964

Опубликована: Дек. 5, 2024

The constantly evolving world necessitates a brain that can swiftly adapt and respond to rapid changes. brain, conceptualized as system performing cognitive functions through collective neural activity, has been shown maintain resting state characterized by near-critical dynamics, positioning it effectively external stimuli. However, how near-criticality is dynamically modulated during task performance remains insufficiently understood. In this study, we utilized the prototypical Ising Hamiltonian model investigate modulation of in activity at cortical subsystem level perceptual tasks. Specifically, simulated 2D-Ising models silico using structural MRI data empirically estimated system's vivo functional data. We first replicated previous findings typically captured model. Importantly, observed heterogeneous changes criticality across subsystems naturalistic movie-watching task, with visual auditory regions fine-tuned closer criticality. A more fine-grained analysis ventral temporal cortex an object recognition further revealed only selectively responsive specific category were tuned when processing category. conclusion, our study provides empirical evidence from domain perception supporting critical hypothesis modulating within brain's hierarchical modular organization may be fundamental mechanism for achieving diverse functions.

Язык: Английский

The Origin of Cognitive Modules for Face Processing: A Computational Evolutionary Perspective DOI
Jirui Liu, Xuena Wang, Jia Liu

и другие.

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

Опубликована: Июль 22, 2024

Abstract Despite extensive research, understanding how cognitive modules emerge remains elusive due to the complex interplay of genetic, developmental, and environmental factors. Computational modeling, however, provides a means exploring their origins by directly manipulating these Here we aimed investigate emergence developing Dual-Task Meta-Learning Partitioned (DAMP) model, whose plastic architecture facilitates automatic structure optimization through genetic algorithm that emulates natural selection iteratively selecting for efficient learning fitness. We found specialized module face identification robustly emerged in DAMP model. Critically, was not influenced demands tasks (identification versus categorization) or type stimuli (faces non-face objects). Instead, it determined structural constraint sparse connectivity within network, suggesting may arise as an adaptation strategy challenges posed connections neural networks, rather than being information processor required certain tasks. These findings provide new evolutionary perspective on formation human brain, highlighting pivotal role properties networks shaping functionality.

Язык: Английский

Процитировано

0
Balancing Selectivity and Generality in Object Recognition through Structured Interconnectivity. DOI Open Access
Yiyuan Zhang, Jirui Liu, Jia Liu

и другие.

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

Опубликована: Авг. 19, 2024

Abstract Balancing selectivity and generality in object recognition is a significant challenge, as it requires the ability to discern fine details that set objects apart while simultaneously embracing common threads classify them into one single category. Here we investigated how brain addresses this challenge by examining relationship between interconnectivity of neural networks, dimensionality space, balance using neurophysiological data computational modeling. We found higher TEa macaques’ IT cortex was associated with lower increased generality, TEO correlated enhanced selectivity. To establish causal link, developed brain-inspired model formed through Hebbian anti-Hebbian rules, wiring length constraints derived from biological brains. The resulting structured created an optimal allowing for efficient energy distribution across representational manifold embedded space generality. Interestingly, placed network critical state balances adaptability stability, fostered cognitive module impenetrability. In summary, our study underscores importance achieving providing unifying view balancing two extreme demands recognition.

Язык: Английский

Процитировано

0
Computational constraints underlying the emergence of functional domains in the topological map of Macaque V4 DOI Creative Commons

Dezheng Jiang,

Tianye Wang, Shiming Tang

и другие.

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

Опубликована: Ноя. 30, 2024

V4, an intermediate visual area in the ventral stream of primates, is known to contain neurons tuned color, complex local patterns, shape, and texture. Neurons with similar attribute preferences are closely positioned on cortical surface, forming a topological map. Recent studies based multi-electrode arrays calcium imaging revealed macaque V4 has neuronal columns specific natural image features, these clustered into various functional domains. There domains attributes generally associated object surface properties such as texture or well shape form boundaries reminiscent blobs inter-blobs primary cortex. Here, we explored computational constraints underlying development We found that map learned self-organizing principles constrained by column's tuning retinotopy position can account for many characteristics observed map, including interwoven organization processing clusters. These anatomical clustering, implied recurrent connectivity, might facilitate modular parallel surfaces objects along system.

Язык: Английский

Процитировано

0
The cognitive critical brain: modulation of criticality in perception-related cortical regions DOI Creative Commons
Xingyu Liu,

Xiaotian Fei,

Jia Liu

и другие.

NeuroImage, Год журнала: 2024, Номер 305, С. 120964 - 120964

Опубликована: Дек. 5, 2024

The constantly evolving world necessitates a brain that can swiftly adapt and respond to rapid changes. brain, conceptualized as system performing cognitive functions through collective neural activity, has been shown maintain resting state characterized by near-critical dynamics, positioning it effectively external stimuli. However, how near-criticality is dynamically modulated during task performance remains insufficiently understood. In this study, we utilized the prototypical Ising Hamiltonian model investigate modulation of in activity at cortical subsystem level perceptual tasks. Specifically, simulated 2D-Ising models silico using structural MRI data empirically estimated system's vivo functional data. We first replicated previous findings typically captured model. Importantly, observed heterogeneous changes criticality across subsystems naturalistic movie-watching task, with visual auditory regions fine-tuned closer criticality. A more fine-grained analysis ventral temporal cortex an object recognition further revealed only selectively responsive specific category were tuned when processing category. conclusion, our study provides empirical evidence from domain perception supporting critical hypothesis modulating within brain's hierarchical modular organization may be fundamental mechanism for achieving diverse functions.

Язык: Английский

Процитировано

0