Our mission is to reveal the molecular logic of our intelligence in health and disease. We use advanced molecular biological tools and state-of-the-art neuroscience to test the role of synaptic and neuronal molecules in the dynamics of the living brain.

Artificial neural networks have been heavily inspired by the brain’s architecture, guiding our journey to discovering the keys to intelligence. We now find ourselves at a pivotal moment: today's AI systems surpass biological circuits in certain tasks, yet we still lack a fundamental understanding of the mechanisms behind the brain’s superior cognitive flexibility and efficiency. At Ingie Hong’s Quantitative Intelligence Lab, we are dedicated to unraveling the principles that enable the mammalian cortex to achieve remarkable feats of intelligence, including rapid learning, generalization, and inference across vast stores of memory.

A single neuron’s response depends on its synaptic connections and intrinsic properties, which are dictated by the expression of neuronal genes. However, the role of these molecules in brain computations remains largely uncharted territory. Focusing on the mouse visual cortex as a starting point for broader generalization, and using large-scale electrophysiology, advanced microscopy, and machine learning, we have begun to uncover the impact of key synaptic genes on cortical processing and their role in the brain’s “working algorithm” (Hong et al., Nature, 2024). Our molecular tools, including gene therapy vectors and antisense oligonucleotides, show promise as effective therapeutic candidates.

Our research will advance the nascent field of 'neurocomputational therapeutics'—innovative genetic and pharmacological tools that address biases in neural activity. These tools will not only facilitate the development of novel mechanism-based treatments for brain disorders but also inspire the next generation of intelligent artificial neural networks.

How do brain dynamics give rise to our sensory experience of the world? The O'Connor lab works to answer this question by taking advantage of the fact that key architectural features of the mammalian brain are similar across species. This allows us to leverage the power of mouse genetics to monitor and manipulate genetically and functionally defined brain circuits during perception. We train mice to perform simple perceptual tasks. By using quantitative behavior, optogenetic and chemical-genetic gain- and loss-of-function perturbations, in vivo two-photon imaging, and electrophysiology, we assemble a description of the relationship between neural circuit function and perception. We work in the mouse tactile system to capitalize on an accessible mammalian circuit with a precise mapping between the sensory periphery and multiple brain areas. Our mission is to reveal the neural circuit foundations of sensory perception; to provide a framework to understand how circuit dysfunction causes mental and behavioral aspects of neuropsychiatric illness; and to help others fulfill creative potential and contribute to human knowledge.