Institute of Neuroscience Menu

This is a reschedule remote seminar for Eugenia's seminar from May 8.  Contact ionseminars@uoregon.edu to receive the zoom link if not on regular mailing lists with your uoregon email address.

Chiappe Lab 

Albertin Lab

This visit is postponed for 5/29 and we hope to reschedule in the 2025-26 academic year.

Abstract - The superior colliculus (SC) is an evolutionarily conserved structure that receives direct retinal input in all vertebrates. It was the most sophisticated visual center until the neocortex evolved in mammals. Even in mice and tree shrews, mammalian species that are increasingly used in vision research, the vast majority of retinal ganglion cells project to the SC, making it a prominent visual structure in these animals. In this talk, I will review our recent functional studies of the mouse SC and describe our current efforts in linking functional properties to genetically identified cell types in both mice and tree shrews.

Cang Lab

2025 UO Undergraduate Research Symposium

Undergraduates, register by April 17, 2025 to present! 

A fundamental challenge to understanding the brain is its complexity: its genetic and developmental programs, its neurons and connections, its balance of permanence and plasticity, and the nuanced information flow through its networks. Across biology, emerging technologies are revolutionising the scope and scale at which we can address such questions. Our group has developed technologies for studying brain-wide sensory networks using calcium imaging and house-built light-sheet microscopes. Because zebrafish larvae are small and transparent, we can image tens of thousands of neurons, simultaneously and individually, as animals perceive and respond to sensory stimuli. We have used this approach to produce the first functional maps, brain-wide at cellular resolution, for auditory, vestibular, and water flow perception in a vertebrate. Our lab and others have also used such baseline descriptions as a departure point for exploring altered sensory networks in zebrafish models of neuropsychiatric conditions such as autism.

These imaging studies have taught us where and when neurons are active, but not how or why. In this talk, I will review our calcium imaging approaches and results, and will then discuss how other technologies, such as X-ray diffraction, electron microscopy, and spatial transcriptomics can provide complementary information about the structure and function of brain-wide networks. I will present preliminary data using these platforms and discuss the enormous potential that such combined approaches hold, but also the technical challenges that merging these big-data modalities presents.  

Scott Laboratory: Neural Circuits and Behavior

Katie Kindt's research profile

Abstract: Bats are highly social animals with complex vocal communication systems supporting navigation and social interactions. My research investigates the neural and behavioral mechanisms underlying social cohesion, auditory perception, and communication in bats. From a neuropathological perspective, integrating behavioral ecology with neural systems approaches, my lab explores fundamental questions such as how bats recognize roost mates and how this may influence roost fidelity, how hierarchical social structures form, and how context shapes responses to communication sounds. To explore these questions we employ a multidisciplinary approach, combining behavioral assays, electrophysiological recordings, neuroanatomical mapping, and computational modeling; spanning both controlled laboratory settings and field environments. In this talk, I will provide an overview of our recent advances and strategies to answer these questions and discuss how our work provides key insights into the neural mechanisms and behavioral ecology of auditory communication in mammals.

Salles Lab

In this talk, I will examine the computational motivations and empirical evidence for spatiotemporal dopamine (DA) waves that support reward learning within fronto-striatal networks. I will focus on the cognitive striatum as a case study to show that DA waves tailor decision signals according to local computational/behavioral specialty-- accomplished via vector-weighting delays in DA pulses across space and time. This code resolves key computational challenges in competing C-BG mixture of experts: spatiotemporal credit assessment at reward, and dynamic reprioritization of circuit inference and gating during performance. Ultimately, these DA wave dynamics represent an empirically informed revision of the longstanding "global broadcast" hypothesis of DA RPE signals. Finally, I will briefly summarize our recent attempts at understanding the complexity of the DA wave manifold, and competitive/collaborative circuit interactions that constrain DA to motif trajectories during specific task demands.

Hamid Laboratory