activity
20162025
most citedA tutorial on group effective connectivity analysis, part 1: first level analysis with DCM for fMRI

419 citations · 645 across the 19 of their papers we have counts for

collaborators

21 papers

q-bio.QM2025★ 31 cited

SPM 25: open source neuroimaging analysis software

Tim M. Tierney, Nicholas A. Alexander, Nicole Labra Avila +17

Statistical Parametric Mapping (SPM) is an integrated set of methods for testing hypotheses about the brain's structure and function, using data from imaging devices. These methods…

q-bio.NC2023★ 5 cited

Active Inference and Intentional Behaviour

Karl J. Friston, Tommaso Salvatori, Takuya Isomura +10

Recent advances in theoretical biology suggest that basal cognition and sentient behaviour are emergent properties of in vitro cell cultures and neuronal networks, respectively. Su…

q-bio.NC2023

Minimum-phase property of the hemodynamic response function, and implications for Granger Causality in fMRI

Leonardo Novelli, Lionel Barnett, Anil Seth +1

Granger Causality (GC) is widely used in neuroimaging to estimate directed statistical dependence among brain regions using time series of brain activity. An important issue is tha…

cs.LG2023★ 12 cited

On efficient computation in active inference

Aswin Paul, Noor Sajid, Lancelot Da Costa +1

Despite being recognized as neurobiologically plausible, active inference faces difficulties when employed to simulate intelligent behaviour in complex environments due to its comp…

q-bio.NC2023★ 3 cited

Spectral Dynamic Causal Modelling: A Didactic Introduction and its Relationship with Functional Connectivity

Leonardo Novelli, Karl Friston, Adeel Razi

We present a didactic introduction to spectral Dynamic Causal Modelling (DCM), a Bayesian state-space modelling approach used to infer effective connectivity from non-invasive neur…

q-bio.NC2023

Hierarchical Bayesian inference for community detection and connectivity of functional brain networks

Lingbin Bian, Nizhuan Wang, Leonardo Novelli +2

Most functional magnetic resonance imaging studies rely on estimates of hierarchically organized functional brain networks whose segregation and integration reflect the cognitive a…