Aaron J. Gruber

This paper introduces a spiking neural network framework that learns through bias currents instead of synaptic plasticity, achieving multi-task performance across classification, regression, and dynamical systems mimicry.

This paper trains biophysically detailed spiking neural networks using Morris-Lecar neurons and differentiable synapses, showing that they can be effectively trained with backpropagation for various tasks.

This paper simulates dendritic spine loss in a deep reinforcement learning agent, inducing depression-like behaviors and suggesting that MDD may result from reduced brain connectivity rather than monoamine imbalances.

The paper shows that scale-free neuronal and behavioral dynamics persist despite changes in functional connectivity induced by ibogaine in mice.

This study shows cannabis use affects how men and women adjust their decision-making in visuospatial tasks, with women showing reduced flexibility and men showing less reliance on spatial cues.

This study shows that amphetamine alters utility encoding and neural dynamics in rat anterior cingulate cortex, with low doses increasing stability and task engagement while high doses disrupt reward signaling and task performance.