Camilo Libedinsky

The paper examines synaptic plasticity in nonhuman primates, finding that theta-burst stimulation induces LTP with a lower threshold for synaptic tagging and capture compared to rodents.

The paper infers a latent behavioral strategy used by monkeys in a working memory task by comparing neural activity patterns with RNN models trained on different strategies.

This paper introduces a graphene-based probe for high-density, long-term neuronal recording at neuronal density, demonstrating reliable signal capture and connectivity analysis in vivo.

The paper estimates recurrent connectivity in primate prefrontal cortex using a method based on noise correlations and finds distinct architectures in dorsolateral prefrontal cortex and frontal eye field.

The paper investigates whether activity-silent mechanisms are required for working memory maintenance by analyzing neural activity in macaque prefrontal cortex during a delayed-saccade task, finding that such mechanisms are needed but only in a small fraction of trials.

The paper shows that distinct lateral prefrontal regions exhibit an anterior-posterior functional gradient, with posterior areas involved in working memory and anterior areas less responsive to task-related stimuli.

The paper identifies two independent low-dimensional subspaces in the lateral prefrontal cortex for working memory and motor preparation, showing how they maintain information separation despite shared neuronal populations.

The paper shows that dynamic prefrontal activity contains stable memory information, which depends on parallel movement of memory-related trajectories in state space.

The paper develops FLLIT, a machine-learning tool for automated leg tracking in Drosophila, revealing distinct gait and tremor signatures in PD and SCA3 models.