[HTML][HTML] Toward computational neuroconstructivism: a framework for developmental systems neuroscience
Brain development is underpinned by complex interactions between neural assemblies,
driving structural and functional change. This neuroconstructivism (the notion that neural …
driving structural and functional change. This neuroconstructivism (the notion that neural …
[HTML][HTML] Spatially embedded recurrent neural networks reveal widespread links between structural and functional neuroscience findings
Brain networks exist within the confines of resource limitations. As a result, a brain network
must overcome the metabolic costs of growing and sustaining the network within its physical …
must overcome the metabolic costs of growing and sustaining the network within its physical …
[HTML][HTML] Computational models of typical and atypical brain network development
PE Vértes - Biological Psychiatry, 2023 - Elsevier
Over the last decade, the organization of brain networks at both micro-and macroscales has
become a key focus of neuroscientific inquiry. This has revealed fundamental features of …
become a key focus of neuroscientific inquiry. This has revealed fundamental features of …
The adaptive stochasticity hypothesis: Modeling equifinality, multifinality, and adaptation to adversity
Neural phenotypes are the result of probabilistic developmental processes. This means that
stochasticity is an intrinsic aspect of the brain as it self-organizes over a protracted period. In …
stochasticity is an intrinsic aspect of the brain as it self-organizes over a protracted period. In …
[HTML][HTML] Parameter estimation for connectome generative models: Accuracy, reliability, and a fast parameter fitting method
Generative models of the human connectome enable in silico generation of brain networks
based on probabilistic wiring rules. These wiring rules are governed by a small number of …
based on probabilistic wiring rules. These wiring rules are governed by a small number of …
[HTML][HTML] Long-term morphological and functional dynamics of human stem cell-derived neuronal networks on high-density micro-electrode arrays
Comprehensive electrophysiological characterizations of human induced pluripotent stem
cell (hiPSC)-derived neuronal networks are essential to determine to what extent these in …
cell (hiPSC)-derived neuronal networks are essential to determine to what extent these in …
A weighted generative model of the human connectome
Probabilistic generative network models have offered an exciting window into the constraints
governing the human connectome's organization. In particular, they have highlighted the …
governing the human connectome's organization. In particular, they have highlighted the …
Early adversity changes the economic conditions of mouse structural brain network organization
Early adversity can change educational, cognitive, and mental health outcomes. However,
the neural processes through which early adversity exerts these effects remain largely …
the neural processes through which early adversity exerts these effects remain largely …
Early adversity changes the economic conditions of structural brain network organisation
Early adversity can change educational, cognitive, and mental health outcomes. However,
the neural processes through which early adversity exerts these effects remain largely …
the neural processes through which early adversity exerts these effects remain largely …
[HTML][HTML] Preconfigured architecture of the developing mouse brain
In the adult brain, structural and functional parameters, such as synaptic sizes and neuronal
firing rates, follow right-skewed and heavy-tailed distributions. While this organization is …
firing rates, follow right-skewed and heavy-tailed distributions. While this organization is …