Haroon Anwar

This paper introduces evidence-gated plasticity (EGP) for multi-goal learning in spiking neural networks, showing improved reward and target selectivity with target-context EGP.

The paper investigates how synaptic dynamics maintain consistent activity phases in an oscillatory neural circuit despite inter-individual variability.

This paper trains spiking neuronal network models to play a virtual racket-ball game using reinforcement learning and evaluates different circuit architectures and learning rules.

This study compares spike-timing-dependent reinforcement learning and evolutionary strategy for training spiking neuronal networks to solve a reinforcement learning control task.

The paper quantifies and classifies multi-cycle oscillation events in primate auditory cortex, revealing non-constant frequency and amplitude characteristics across frequency bands.

The paper investigates how synaptic dynamics maintain neuronal burst phase in an oscillatory network despite frequency variations.