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The relation between large-scale brain structure and function is an outstanding open problem in neuroscience. We approach this problem by studying the dynamical regime under which realistic spatio-temporal patterns of brain activity emerge…

神经元与认知 · 定量生物学 2014-05-27 Ariel Haimovici , Enzo Tagliazucchi , Pablo Balenzuela , Dante R. Chialvo

The primary tasks of a cognitive system is to survive and to maximize a life-long utility function, like the number of offsprings. A direct computational maximization of life-long utility is however not possible in complex environments,…

神经元与认知 · 定量生物学 2010-05-25 Claudius Gros

Synchronization plays a fundamental role in healthy cognitive and motor function. However, how synchronization depends on the interplay between local dynamics, coupling and topology and how prone to synchronization a network with given…

神经元与认知 · 定量生物学 2018-06-06 David Papo , Javier M. Buldú

Value guides behavior. With knowledge of stimulus values and action consequences, behaviors that maximize expected reward can be selected. Prior work has identified several brain structures critical for representing both stimuli and their…

神经元与认知 · 定量生物学 2016-07-15 Marcelo G Mattar , Sharon L Thompson-Schill , Danielle S Bassett

Human brain dynamics can be profitably viewed through the lens of statistical mechanics, where neurophysiological activity evolves around and between local attractors representing preferred mental states. Many physically-inspired models of…

神经元与认知 · 定量生物学 2016-09-06 Arian Ashourvan , Shi Gu , Marcelo G. Mattar , Jean M. Vettel , Danielle S. Bassett

Adaptive reasoning enables humans to flexibly adjust inference strategies when environmental rules or contexts change, yet its underlying neural dynamics remain unclear. This study investigated the neurophysiological mechanisms of adaptive…

人工智能 · 计算机科学 2025-11-12 Jun-Young Kim , Young-Seok Kweon , Gi-Hwan Shin , Seong-Whan Lee

The underlying physiological mechanisms of generating conscious states are still unknown. To make progress on the problem of consciousness, we will need to experimentally design a system that evolves in a similar way our brains do. Recent…

新兴技术 · 计算机科学 2014-11-20 Dorian Aur

General results from statistical learning theory suggest to understand not only brain computations, but also brain plasticity as probabilistic inference. But a model for that has been missing. We propose that inherently stochastic features…

神经与进化计算 · 计算机科学 2016-02-17 David Kappel , Stefan Habenschuss , Robert Legenstein , Wolfgang Maass

Traditional approaches to understanding the brain's resilience to neuropathology have identified neurophysiological variables, often described as brain or cognitive 'reserve,' associated with better outcomes. However, mechanisms of function…

神经元与认知 · 定量生物学 2017-01-18 John D. Medaglia , Fabio Pasqualetti , Roy H. Hamilton , Sharon L. Thompson-Schill , Danielle S. Bassett

The impressive lifelong learning in animal brains is primarily enabled by plastic changes in synaptic connectivity. Importantly, these changes are not passive, but are actively controlled by neuromodulation, which is itself under the…

神经与进化计算 · 计算机科学 2021-07-06 Thomas Miconi , Aditya Rawal , Jeff Clune , Kenneth O. Stanley

Social ties are strongly related to well-being. But what characterizes this relationship? This study investigates social mechanisms explaining how social ties affect well-being through social integration and social influence, and how…

应用统计 · 统计学 2017-05-09 Timon Elmer , Zsofia Boda , Christoph Stadtfeld

To maintain coherence in language, the brain must satisfy key competing temporal demands: the gradual accumulation of meaning across extended context (drift) and the rapid reconfiguration of representations at event boundaries (shift). How…

At the macroscale, the brain operates as a network of interconnected neuronal populations, which display rhythmic dynamics that support interareal communication. Understanding how stimulation of a particular brain area impacts such…

神经元与认知 · 定量生物学 2020-11-12 Lia Papadopoulos , Christopher W. Lynn , Demian Battaglia , Danielle S. Bassett

Humans often make decisions which maximize an internal utility function. For example, humans often maximize their expected reward when gambling and this is considered as a "rational" decision. However, humans tend to change their betting…

The human brain network is modular--comprised of communities of tightly interconnected nodes. This network contains local hubs, which have many connections within their own communities, and connector hubs, which have connections diversely…

神经元与认知 · 定量生物学 2018-10-10 Maxwell A. Bertolero , B. T. T. Yeo , Danielle S. Bassett , Mark D'Esposito

[Background] Several studies have mentioned network modularity -- that a network can easily be decomposed into subgraphs that are densely connected within and weakly connected between each other -- as a factor affecting metabolic…

分子网络 · 定量生物学 2012-10-10 Petter Holme

Background: The brain's functional network constantly adapts to external changes. However, the mechanisms underlying this dynamic adaptive behavior in stroke patients with motor injuries and its role in post-stroke motor recovery remain…

神经元与认知 · 定量生物学 2024-01-18 Kaichao Wu , Beth Jelfs , Katrina Neville , Qiang Fang

It has become increasingly popular to study the brain as a network due to the realization that functionality cannot be explained exclusively by independent activation of specialized regions. Instead, across a large spectrum of behaviors,…

神经元与认知 · 定量生物学 2014-07-22 Petko Bogdanov , Nazli Dereli , Danielle S. Bassett , Scott T. Grafton , Ambuj K. Singh

A large repertoire of spatiotemporal activity patterns in the brain is the basis for adaptive behaviour. Understanding the mechanism by which the brain's hundred billion neurons and hundred trillion synapses manage to produce such a range…

神经元与认知 · 定量生物学 2010-10-14 Dante R. Chialvo

Synaptic plasticity is the capacity of a preexisting connection between two neurons to change in strength as a function of neural activity. Because synaptic plasticity is the major candidate mechanism for learning and memory, the…

神经元与认知 · 定量生物学 2015-05-05 Maurizio De Pittà , Nicolas Brunel , Andrea Volterra