Search Results for author: Adeel Razi

Found 16 papers, 5 papers with code

On Predictive planning and counterfactual learning in active inference

1 code implementation19 Mar 2024 Aswin Paul, Takuya Isomura, Adeel Razi

Given the rapid advancement of artificial intelligence, understanding the foundations of intelligent behaviour is increasingly important.

counterfactual Decision Making

Active Inference and Intentional Behaviour

no code implementations6 Dec 2023 Karl J. Friston, Tommaso Salvatori, Takuya Isomura, Alexander Tschantz, Alex Kiefer, Tim Verbelen, Magnus Koudahl, Aswin Paul, Thomas Parr, Adeel Razi, Brett Kagan, Christopher L. Buckley, Maxwell J. D. Ramstead

First, we simulate the aforementioned in vitro experiments, in which neuronal cultures spontaneously learn to play Pong, by implementing nested, free energy minimising processes.

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

no code implementations4 Dec 2023 Leonardo Novelli, Lionel Barnett, Anil Seth, Adeel Razi

We find that these models are minimum-phase for a wide range of physiologically plausible parameter values.

Linking Symptom Inventories using Semantic Textual Similarity

1 code implementation8 Sep 2023 Eamonn Kennedy, Shashank Vadlamani, Hannah M Lindsey, Kelly S Peterson, Kristen Dams OConnor, Kenton Murray, Ronak Agarwal, Houshang H Amiri, Raeda K Andersen, Talin Babikian, David A Baron, Erin D Bigler, Karen Caeyenberghs, Lisa Delano-Wood, Seth G Disner, Ekaterina Dobryakova, Blessen C Eapen, Rachel M Edelstein, Carrie Esopenko, Helen M Genova, Elbert Geuze, Naomi J Goodrich-Hunsaker, Jordan Grafman, Asta K Haberg, Cooper B Hodges, Kristen R Hoskinson, Elizabeth S Hovenden, Andrei Irimia, Neda Jahanshad, Ruchira M Jha, Finian Keleher, Kimbra Kenney, Inga K Koerte, Spencer W Liebel, Abigail Livny, Marianne Lovstad, Sarah L Martindale, Jeffrey E Max, Andrew R Mayer, Timothy B Meier, Deleene S Menefee, Abdalla Z Mohamed, Stefania Mondello, Martin M Monti, Rajendra A Morey, Virginia Newcombe, Mary R Newsome, Alexander Olsen, Nicholas J Pastorek, Mary Jo Pugh, Adeel Razi, Jacob E Resch, Jared A Rowland, Kelly Russell, Nicholas P Ryan, Randall S Scheibel, Adam T Schmidt, Gershon Spitz, Jaclyn A Stephens, Assaf Tal, Leah D Talbert, Maria Carmela Tartaglia, Brian A Taylor, Sophia I Thomopoulos, Maya Troyanskaya, Eve M Valera, Harm Jan van der Horn, John D Van Horn, Ragini Verma, Benjamin SC Wade, Willian SC Walker, Ashley L Ware, J Kent Werner Jr, Keith Owen Yeates, Ross D Zafonte, Michael M Zeineh, Brandon Zielinski, Paul M Thompson, Frank G Hillary, David F Tate, Elisabeth A Wilde, Emily L Dennis

An extensive library of symptom inventories has been developed over time to measure clinical symptoms, but this variety has led to several long standing issues.

Decision Making Semantic Textual Similarity +1

On efficient computation in active inference

1 code implementation2 Jul 2023 Aswin Paul, Noor Sajid, Lancelot Da Costa, Adeel Razi

Despite being recognized as neurobiologically plausible, active inference faces difficulties when employed to simulate intelligent behaviour in complex environments due to its computational cost and the difficulty of specifying an appropriate target distribution for the agent.

Computational Efficiency

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

no code implementations23 Jun 2023 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 neuroimaging data.

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

no code implementations18 Jan 2023 Lingbin Bian, Nizhuan Wang, Leonardo Novelli, Jonathan Keith, Adeel Razi

The method can robustly detect the group-level community structure of weighted functional networks that give rise to hidden brain states with an unknown number of communities and retain the variability of individual networks.

Bayesian Inference Community Detection

Unsupervised Representation Learning for 3D MRI Super Resolution with Degradation Adaptation

no code implementations13 May 2022 Jianan Liu, Hao Li, Tao Huang, Euijoon Ahn, Kang Han, Adeel Razi, Wei Xiang, Jinman Kim, David Dagan Feng

However, the difference in degradation representations between synthetic and authentic LR images suppresses the quality of SR images reconstructed from authentic LR images.

Image Registration Representation Learning +1

Active Inference for Stochastic Control

1 code implementation27 Aug 2021 Aswin Paul, Noor Sajid, Manoj Gopalkrishnan, Adeel Razi

Active inference has emerged as an alternative approach to control problems given its intuitive (probabilistic) formalism.

Reinforcement Learning (RL)

A mathematical perspective on edge-centric brain functional connectivity

1 code implementation20 Jun 2021 Leonardo Novelli, Adeel Razi

Edge time series are increasingly used in brain functional imaging to study the node functional connectivity (nFC) dynamics at the finest temporal resolution while avoiding sliding windows.

Time Series Time Series Analysis

Identification of brain states, transitions, and communities using functional MRI

no code implementations26 Jan 2021 Lingbin Bian, Tiangang Cui, B. T. Thomas Yeo, Alex Fornito, Adeel Razi, Jonathan Keith

Brain function relies on a precisely coordinated and dynamic balance between the functional integration and segregation of distinct neural systems.

Time Series Time Series Analysis

Construct validation of a DCM for resting state fMRI

no code implementations NeuroImage 2014 Adeel Razi, Joshua Kahan, Geraint Rees, Karl J. Friston

We also simulated group differences and compared the ability of spectral and stochastic DCMs to identify these differences.

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