Understanding the brain, one dimension at a time.

ELIEZYER
DE OLIVEIRA

Understanding the brain, one dimension at a time.

I am a Postdoctoral Researcher and Neuroscientist (Ph.D.) with a background in Biomedical Engineering. I study how the brain self-organizes to form and stabilize new memories, selecting neural patterns for consolidation without disrupting existing ones.

Using behavioral, systems, computational, and molecular approaches, I investigate the principles that govern neural dynamics. My goal is to understand how brain activity interacts with the world to turn experiences into lasting memories, and how disruptions in these processes contribute to psychiatric and neurological disorders.

The key to brain function is within its intrinsic organization

Behavior

Behavior reveals how we learn and adapt in a changing world. Modeling it provides the opportunity to study the strategies behind these processes and study the neural circuits that underlie it.

Circuits and manifold

At the neural circuit level, cells are organized into a dynamical system that performs computations that drive behavior. This is often referred to as the manifold and is highly influenced by and dependent on cell-type and cell-state activity.

Molecular

Molecular states shape the composition and recruitment of neurons into computational processes. Understanding these molecular states provides a window into how neural circuits are remodeled and reshape behavior.

About me

I am a Postdoctoral Researcher and Neuroscientist (Ph.D.) with a background in Biomedical Engineering, dedicated to uncovering the mechanisms that drive brain function. My research investigates how neural circuits process information and adapt during learning, focusing on behavior, circuit-level computations, and neuronal molecular states.

I am fascinated by the brain's intrinsic organization and use sleep as a model to explore it. Sleep offers a unique window into brain activity when it is free from sensory inputs and movement. Key questions in my research include: How does the brain construct neural codes from intrinsic activity? Are new activity patterns integrated into or distinguished from existing intrinsic activity during learning?

Project Highlight

Off-manifold coding in visual cortex revealed by sleep

Using sleep as a model, I explored intrinsic correlations (the manifold) in the primary visual cortex (V1) and uncovered how the brain optimizes its neural activity space. Synaptic connections create correlations that constrain activity to a reduced neural space, the intrinsic manifold. This leaves an 'activity-free' off-manifold space accessed only through sparse activity. My findings reveal that brain-wide signals (e.g., body movements) are encoded within the intrinsic manifold, while natural scenes activate the off-manifold space. This separation ensures efficient use of distinct neural subspaces to reconcile low-dimensional dynamics with high-dimensional representations. Preprint

Explore my work and connect with me to learn how intrinsic brain activity shapes behavior and learning.