Arjun Rao

The paper introduces a Bayesian optimization method for predicting PROTAC-mediated ternary complex structures and demonstrates its effectiveness in ranking near-native poses.

The paper proposes a normative model where top-down inputs in apical dendrites provide probabilistic priors for sensory information, consistent with synaptic plasticity and NMDA-spikes.

The paper investigates how spike-timing-dependent plasticity (STDP) enables the formation of associations between memory traces in spiking neuron networks, showing it can reproduce both fast overlap-based and new-assembly-based memory association patterns.