M. Amin Khajehnejad

Psychedelics Align Brain Activity with Context

This study shows psilocybin reorganizes brain activity into context-sensitive patterns linked to subjective experience and mindset changes.

A Computational Perspective on the No-Strong-Loops Principle in Brain Networks

The paper shows that connectivity asymmetry in brain networks supports higher working-memory capacity, while increased reciprocity reduces it, using computational models of recurrent neural networks.

Drug treatment alters performance in a neural microphysiological system of information processing

The paper tests anti-seizure drugs on a synthetic neural system and finds carbamazepine improves gameplay metrics, linking glutamatergic inhibition to enhanced performance.

In vitro neurons learn and exhibit sentience when embodied in a simulated game-world

The paper demonstrates that in vitro neurons can learn and exhibit goal-directed behavior in a simulated game environment.

Neural Network Poisson Models for Behavioural and Neural Spike Train Data

The paper introduces a neural network Poisson model to analyze neural spike train data and behavioral tasks, showing improved performance over previous methods.