Biological Neurons vs Deep Reinforcement Learning: Sample efficiency in a simulated game-world
Forough Habibollahi, Moein Khajehnejad, Amitesh Gaurav, Brett J. Kagan
36th Conference on Neural Information Processing Systems (DeepRL, MemARI ,and LMRL Workshops, NeurIPS 2022)

In Vitro Neurons Learn and Exhibit Sentience When Embodied In a Simulated Game-world
Brett J. Kagan, Andy C. Kitchen, Nhi T. Tran, Forough Habibollahi, Moein Khajehnejad, Bradyn J. Parker, Anjali Bhat, Ben Rollo, Adeel Razi, Karl J. Friston
Neuron (2022)

Neural Network Poisson Models for Behavioural and Neural Spike Train Data
F. Habibollahi, M. Khajehnejad, R. Nock, E. Arabzadeh, P. Dayan, A. Dezfouli
In Proceedings of the 39th International Conference on Machine Learning (ICML 2022)

Hunting for Dual-target Set on a Class of Hierarchical Networks
M. Khajehnejad, F. Habibollahi
International Conference on Network Science. Springer, Cham, 2022

Utilising hippocampal neuronal calcium activity in mouse CA1 for a 2 multimodal optical brain-computer interface
Dechuan Sun, Forough Habibollahi, Yang Yu, Ranjith Rajasekharan Unnitha, Chris French

Effects of Several Classes of Voltage-Gated Ion Channel Conductances on Gamma and Theta Oscillations in a Hippocampal Microcircuit Model
F. Habibollahi, C. Olteanu, C. French
Frontiers in Computational Neuroscience, 2021

MAGIC: a MATLAB Toolbox for External Control of Transcranial Magnetic Stimulation Devices
F. Habibollahi, N.C. Rogasch, N.A. McNair, M. Biabani, S.D. Pillen, T.R. Marshall, and T.O. Bergmann
Brain Stimulation, 2018

Alzheimer’s disease early diagnosis using manifold-based semi-supervised learning
M. Khajehnejad, F. Habibollahi, H. Mohammadzade
Brain sciences, 2017