2026

[2026-04-04] Our paper “Generalization in counting recurrent neural networks arises from emergentnumber-line representations and stable drift dynamics” has been accepted to the CogSci conference!

[2026-01-20] I’m now a reviewer for the AI Brain and Child journal!

2025

[2025-11-09] Our preprint “Recurrent neural network models reveal unified mechanisms generating event-related potentials from MMN to P300” is out in bioRxiv!

[2025-06-06] Our paper “Personalized deep neural networks reveal mechanisms of math learning disabilities in children” is out in Science Advances!

[2025-04-11] I’m now a reviewer for the ReScience journal!

[2025-04-04] Our paper “Symbolic numerical generalization through representational alignment” has been accepted to the CogSci conference!

[2025-02-24] Our preprint “Explainable AI techniques for dynamic functional brain imaging: validation and analysis of E/I imbalance in autism” is out in bioRxiv!

2024

[2024-09-24] I’m mentoring for NeuroMatch Academy!

[2024-09-18] I received a IOP Trusted Reviewer Status!

[2024-07-04] I’m giving an online seminar at IIT Kharagpur!

[2024-05-23] I’m giving an invited talk Neuroscience & Artificial Intelligence meeting of the French Neuroscience Society!

[2024-05-02] Our preprint “Digital twins for understanding mechanisms of learning disabilities: Personalized deep neural networks reveal impact of neuronal hyperexcitability” is out in bioRxiv!

[2024-04-14] I’m now a reviewer for the Neuromorphic Computing and Engineering journal!

2023

[2023-06-29] Our paper “Learning-induced reorganization of number neurons and emergence of numerical representations in a biologically inspired neural network” is out in Nature Communications!

[2023-06-01] I’m giving a seminar at MIND team at Inria Saclay Center!

[2023-05-30] Trang-Anh Nghiem and I are co-presenting a seminar at Institut de la Vision!

© 2026 Anthony Strock.