Artur Luczak

This paper combines equilibrium propagation with backpropagation in an actor-critic reinforcement learning framework, showing improved consistency in high-reward behavior on control tasks.

This study shows that repeated sensory stimulation modifies late cortical evoked responses, increasing their amplitude and similarity to early responses in anesthetized and awake mice.

This paper proposes a predictive learning rule for neurons based on minimizing metabolic cost and maximizing blood supply impact, validated through simulations and animal data.

This study compares spatiotemporal patterns of spontaneous and sensory-evoked cortical activity in mice, finding differences in propagation complexity, speed, and direction.

A deep neural network identifies novel behavioral effects of maternal nicotine exposure on rat pups, revealing altered motor development and movement patterns.

The paper investigates neocortical activity patterns around hippocampal sharp-wave ripples in mice, finding that neocortical activation can precede SWRs and may trigger hippocampal reactivation.

The paper analyzes cortical dynamics in anesthetized rats, finding non-rhythmic UP-DOWN state transitions in a bistable balanced network.