Adaptive rewiring of random neural networks generates convergent-divergent units

Functional and spatial rewiring jointly generate convergent-divergent units in self-organizing networks

Self-organization through adaptive rewiring of random neural networks generates brain-like topologies comprising modular small-world structures with rich club effects, merely as the product of optimizing the network topology. In the nervous system, spatial organization is optimized no less by rewiring, through minimizing wiring distance and maximizing spatially aligned wiring layouts. We show that such spatial organization principles interact constructively with adaptive rewiring, contributing to establish the networks' connectedness and modular structures. We use an evolving neural network mo…

Reframing Convergent and Divergent Thought for the 21st Century

Convergent thought is defined and measured in terms of the ability to perform on tasks where there is a single correct solution, and divergent thought is defined and measured in terms of the ability to generate multiple different solutions. However, this characterization of them presents inconsistencies, and despite that they are promoted as key constructs of creativity, they do not capture the capacity to reiteratively modify an idea in light of new perspectives arising out of an overarching conceptual framework. Research on formal models of concepts and their interactions suggests that diffe…

The Neural Basis and Evolution of Divergent and Convergent Thought

This chapter takes as its departure point a neural level theory of insight that arose from studies of the sparse, distributed, content-addressable architecture of associative memory. It is argued that convergent thought is most fruitfully characterized in terms of, not the generation of a single correct solution (as it is conventionally construed), but using concepts in their most compact form by activating neural cell assemblies that respond to their most typical properties. This allows them to be deployed in a conventional manner such that effort is reserved for exploring causal relationship…

Creativity

Creativity is perhaps what most differentiates humans from other species. It involves the capacity to shift between divergent and convergent modes of thought in response to task demands. Divergent thought has been characterized as the kind of thinking needed to generate multiple solutions, while convergent thought has been characterized as the kind of thinking needed for tasks in with one solution. Divergent thought has been conceived of as reflecting on the task from unconventional perspectives, while convergent thought has been conceived of as reflecting on it from conventional perspectives.…

猕猴与人类弓状束的汇聚与分歧连接模式

Convergent and divergent connectivity patterns of the arcuate fasciculus in macaques and humans

本文通过跨尺度单神经元示踪与高场扩散MRI比较猕猴和人类弓状束连接模式，揭示人类AF在颞中回及额顶连接上的进化扩展，为语言网络特化及相关疾病提供神经解剖学基础。

具有二阶突触基序的随机神经网络非线性动力学

Nonlinear dynamics of random neural networks with second-order synaptic motifs

本研究通过动态平均场理论揭示二阶突触基序（链式、互惠、汇聚、发散）共同重塑随机神经网络雅可比特征值谱，产生铁磁态、极限环及玻璃态等多稳态，并降低混沌活动的熵产生与吸引子维数，确立其为皮层回路动力学的基本结构机制。