1.1k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- National Institutes of HealthUS16 papers
- Massachusetts Institute of TechnologyUS8 papers
- Czech Academy of Sciences, Institute of Computer ScienceCZ6 papers
- University of CambridgeGB6 papers
- University of OxfordGB5 papers
- University College LondonGB4 papers
- Bernstein Center for Computational Neuroscience BerlinDE3 papers
- Charité - Universitätsmedizin BerlinDE3 papers
- Columbia UniversityUS3 papers
- Czech Academy of SciencesCZ3 papers
- Georgia Institute of TechnologyUS3 papers
- Harvard UniversityUS3 papers
15 papers · 1 filter
Murine AI excels at cats and cheese: Structural differences between human and mouse neurons and their implementation in generative AIs
Rino Saiga, Kaede Shiga, Yo Maruta +19
Mouse and human brains have different functions that depend on their neuronal networks. In this study, we analyzed nanometer-scale three-dimensional structures of brain tissues of…
Processing, evaluating and understanding FMRI data with afni_proc.py
Richard C. Reynolds, Daniel R. Glen, Gang Chen +3
FMRI data are noisy, complicated to acquire, and typically go through many steps of processing before they are used in a study or clinical practice. Being able to visualize and und…
Reliability and predictability of phenotype information from functional connectivity in large imaging datasets
Jessica Dafflon, Dustin Moraczewski, Eric Earl +5
One of the central objectives of contemporary neuroimaging research is to create predictive models that can disentangle the connection between patterns of functional connectivity a…
Large language models surpass human experts in predicting neuroscience results
Xiaoliang Luo, Akilles Rechardt, Guangzhi Sun +36
Scientific discoveries often hinge on synthesizing decades of research, a task that potentially outstrips human information processing capacities. Large language models (LLMs) offe…
The positive-negative mode link between brain connectivity, demographics, and behavior: A pre-registered replication of Smith et al. 2015
Nikhil Goyal1, Dustin Moraczewski, Peter A. Bandettini +2
In mental health research, it has proven difficult to find measures of brain function that provide reliable indicators of mental health and well-being, including susceptibility to…
Effect of time of day on reward circuitry. A discussion of Byrne et al. 2017
Adam Steel, Cibu Thomas, Chris I Baker
Byrne and colleagues present a paper on a timely topic with potentially important results. However, we think that issues in the design and analysis complicate the interpretation an…
The interplay between long- and short-range temporal correlations shapes cortex dynamics across vigilance states
Christian Meisel, Andreas Klaus, Vladyslav V. Vyazovskiy +1
Increasing evidence suggests that cortical dynamics during wake exhibits long-range temporal correlations suitable to integrate inputs over extended periods of time to increase the…
The Same Analysis Approach: Practical protection against the pitfalls of novel neuroimaging analysis methods
Kai Görgen, Martin N. Hebart, Carsten Allefeld +1
Standard neuroimaging data analysis based on traditional principles of experimental design, modelling, and statistical inference is increasingly complemented by novel analysis meth…
Bayesian Population Receptive Field Modelling
Peter Zeidman, Edward Harry Silson, Dietrich Samuel Schwarzkopf +2
We introduce a probabilistic (Bayesian) framework and associated software toolbox for mapping population receptive fields (pRFs) based on fMRI data. This generic approach is intend…
Pairwise Network Information and Nonlinear Correlations
Elliot A. Martin, Jaroslav Hlinka, Jörn Davidsen
Reconstructing the structural connectivity between interacting units from observed activity is a challenge across many different disciplines. The fundamental first step is to estab…
Intra- and Inter-Frequency Brain Network Structure in Health and Schizophrenia
Felix Siebenhuhner, Shennan A. Weiss, Richard Coppola +2
Empirical studies over the past two decades have supported the hypothesis that schizophrenia is characterized by altered connectivity patterns in functional brain networks. These a…
Information capacity and transmission are maximized in balanced cortical networks with neuronal avalanches
Woodrow L. Shew, Hongdian Yang, Shan Yu +2
The repertoire of neural activity patterns that a cortical network can produce constrains the network's ability to transfer and process information. Here, we measured activity patt…
Neuronal avalanches imply maximum dynamic range in cortical networks at criticality
Woodrow L. Shew, Hongdian Yang, Thomas Petermann +2
Spontaneous neuronal activity is a ubiquitous feature of cortex. Its spatiotemporal organization reflects past input and modulates future network output. Here we study whether a pa…
Comment on ``Critical branching captures activity in living neural networks and maximizes the number of metastable states''
Dietmar Plenz
It is shown that, contrary to the claims in a recent letter by Haldeman and Beggs (PRL, 94, 058101, 2005), the branching ratio in epileptic cortical cultures is smaller than one. I…
Coding Strategies in Monkey V1 and Inferior Temporal Cortices
Ethan D. Gershon, Matthew C. Wiener, Peter E. Latham +1
We would like to know whether the statistics of neuronal responses vary across cortical areas. We examined stimulus-elicited spike count response distributions in V1 and IT cortice…