Network models articles from across Nature Portfolio

Network models are a computer architecture, implementable in either hardware or software, meant to simulate biological populations of interconnected neurons. These models, also known as perceptrons or multilayer connectionist models, process information based on the pattern and strength of the connections among the neuron-like units that compose them.

Latest Research and Reviews

Reviews | 30 May 2023

The neuroconnectionist research programme

Artificial neural networks are being widely used to model behavioural and neural data. In this Perspective article, Doerig et al. present neuroconnectionism as a Lakatosian research programme using artificial neural networks as a computational language for expressing falsifiable theories and hypotheses about the brain computations underlying cognition.
- Adrien Doerig
- , Rowan P. Sommers
- & Tim C. Kietzmann
Nature Reviews Neuroscience, 1-20
Research
23 May 2023 | Open Access

Learning how network structure shapes decision-making for bio-inspired computing

Better understanding of a trade-off between the speed and accuracy of decision-making is relevant for mapping biological intelligence to machines. The authors introduce a brain-inspired learning algorithm to uncover dependencies in individual fMRI networks with features of neural activity and predict inter-individual differences in decision-making.
- Michael Schirner
- , Gustavo Deco
- & Petra Ritter
Nature Communications 14, 2963
Research
19 May 2023 | Open Access

Information load dynamically modulates functional brain connectivity during narrative listening
- Rossana Mastrandrea
- , Luca Cecchetti
- & Emiliano Ricciardi
Scientific Reports 13, 8110
Research
18 May 2023 | Open Access

Assortative mixing in micro-architecturally annotated brain connectomes

How macroscale connectivity relates to regional micro-architecture is poorly understood. Here, the authors annotate brain networks with microarchitectural attributes, finding that the interplay between connection patterns and biological annotations shape regional functional specialization.
- Vincent Bazinet
- , Justine Y. Hansen
- & Bratislav Misic
Nature Communications 14, 2850
Research
18 May 2023 | Open Access

Distributing task-related neural activity across a cortical network through task-independent connections

Large scale neural recordings show that task-related activity is observed across neural circuits. Here, the authors have identified a network mechanism that promotes distributed activity in the cortex during decision-making via task-independent synapses.
- Christopher M. Kim
- , Arseny Finkelstein
- & Ran Darshan
Nature Communications 14, 2851
Research
09 May 2023 | Open Access

Brain-wide dendrites in a near-optimal performance of dynamic range and information transmission
- Congping Lin
- , Fan Xu
- & Yiwei Zhang
Scientific Reports 13, 7488

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News and Comment

News & Views | 23 March 2023

A single-cell-resolution mathematical model of the CA1 human hippocampus

We present a computational method to generate a single-cell-resolution model of human brain regions starting from microscopy images. The developed method has been benchmarked to reconstruct the CA1 region of a right human hippocampus, including anatomical cell organization, connectivity, and network activity.

Nature Computational Science 3, 196-197
News & Views | 20 March 2023

Oscillations and avalanches coexist in brain networks close to criticality

We propose a minimal and analytically tractable class of neural networks, the adaptive Ising class. By inferring the model’s parameters from resting-state brain activity recordings, we show that scale-specific oscillations and scale-free avalanches can coexist in resting brains close to a non-equilibrium critical point at the onset of self-sustained oscillations.

Nature Computational Science 3, 194-195
Comments & Opinion | 22 February 2023

Neuromorphic brain interfacing and the challenge of human subjectivation

Bidirectional neuromorphic brain interfaces, based on interconnecting brain networks with artificial spiking neural networks, aim to optimize neural prostheses to help people with paralysis to regain autonomy. Their emergence questions the concept of human subjectivation, the continuous process by which we become and remain the subject of our life.
- Blaise Yvert
- & Eric Fourneret
Nature Reviews Bioengineering, 1-2
Research Highlights | 11 November 2022

The neocortical column as a universal template for perception and world-model learning

Mackenzie Mathis highlights an essay by Vernon Mountcastle that shaped our understanding of the organization and function of the neocortex.
- Mackenzie Weygandt Mathis
Nature Reviews Neuroscience 24, 3
Correspondence | 07 October 2022

Dynamical models to evaluate structure–function relationships in network neuroscience
- Andrea I. Luppi
- , Joana Cabral
- & Morten L. Kringelbach
Nature Reviews Neuroscience 23, 767-768
News & Views | 03 October 2022

The role of ADM in brain function

In a recent study a phenomenological model was used to study the effects of activity-dependent myelination (ADM) on network activity and information transmission in the brain. The model explores how the conduction velocity of an axon — and thus the overall transmission delay — varies as a function of neural activity.
- Maurice J. Chacron
Nature Computational Science 2, 628-629

All News & Comment

Network models articles from across Nature Portfolio

Latest Research and Reviews

The neuroconnectionist research programme

Learning how network structure shapes decision-making for bio-inspired computing

Information load dynamically modulates functional brain connectivity during narrative listening

Assortative mixing in micro-architecturally annotated brain connectomes

Distributing task-related neural activity across a cortical network through task-independent connections

Brain-wide dendrites in a near-optimal performance of dynamic range and information transmission

News and Comment

A single-cell-resolution mathematical model of the CA1 human hippocampus

Oscillations and avalanches coexist in brain networks close to criticality

Neuromorphic brain interfacing and the challenge of human subjectivation

The neocortical column as a universal template for perception and world-model learning

Dynamical models to evaluate structure–function relationships in network neuroscience

The role of ADM in brain function

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