Colin Bredenberg

The oneirogen hypothesis: modeling the hallucinatory effects of classical psychedelics in terms of replay-dependent plasticity mechanisms

This paper proposes the oneirogen hypothesis, suggesting classical psychedelics induce hallucinations by shifting neural activity toward dream-like states, and validates this through simulations using a wake-sleep neural network model.

Recurrent neural circuits overcome partial inactivation by compensation and re-learning

This study uses recurrent neural networks to show how circuit compensation and re-learning mitigate inactivation effects, with varying impacts across tasks and network architectures.

Learning efficient task-dependent representations with synaptic plasticity

This study develops a stochastic recurrent neural network model with reward-modulated Hebbian plasticity to learn efficient, task-specific sensory representations in two tasks: stimulus estimation and discrimination.