Monique Mendes, CVS Trainee, University of Rochester
Poster Session 9:00 - 11:00 AM, 2nd Floor Meliora Hall
Picnic: 12:00 PM, Genesee Valley Park
Krishnan Padmanabhan, Assistant Professor, Neuroscience, University of Rochester
Mark Buckley, CVS New Faculty, Biomedical Engineering, University of Rochester
Adam Kohn, Albert Einstein University
*Shared with Neuroscience
The primate visual cortex consists of a host of distinct areas. Visual processing requires the relaying of appropriate information between these areas, via feedforward and feedback connections. Despite the central role of interareal communication in brain function, we know little about the circuits and neural code that are used to relay information. I will present recent work that tests the relationship between population activity patterns in a source area and the firing they produce in a downstream target.
Leah Krubitzer, UC Davis
The neocortex is the part of the brain that is involved in perception, cognition, and volitional motor control. In mammals it is a highly dynamic structure that has been dramatically altered within an individual's lifetime and in different lineages throughout the course of evolution. These alterations account for the remarkable variations in behavior that species exhibit. Because we cannot study the evolution of the neocortex directly, we must make inferences about the evolutionary process from a comparative analysis of brains, and study the developmental mechanisms that give rise to alterations in the brain. Comparative studies allow us to appreciate the types of changes that have been made to the neocortex and the similarities that exist across taxa, and ultimately the constraints imposed on the evolving brain. Developmental studies inform us about how phenotypic transitions may arise by alterations in developmental cascades or changes in the physical environment in which the brain develops. We focus on how early experience shapes the functional organization and connectivity of each individual's brain and behavior to be uniquely optimized for a given sensory milieu. Such plasticity plays an integral role in shaping the brains of normal individuals, as well as those that have lost or altered sensory inputs, such as congenitally deaf or blind individuals. This loss of sensory input early in development leads to dramatic changes in both the normal organization and connections of the neocortex as well as in sensory mediated behavior. Studies have also demonstrated that enhanced sensory experience that occurs during critical periods of development has a profound effect on the resultant organization and connectivity of the neocortex. In our experiments we examined the specific types of alterations that occur when individuals develop with lost or enhanced sensory inputs in both experimental and natural settings. Because all aspects of complex social experience including parental rearing and sibling interactions are mediated by our sensory systems, it follows that these types of complex patterns of sensory inputs are fundamentally important for shaping both the organization and connectivity of the neocortex. In turn, the ultimate behavior generated by the neocortex will be highly adaptive for the context in which the individual develops.
David Fitzpatrick, Max Planck Institute
How do cortical circuits transform the information supplied by different populations of retinal ganglion cells into coherent representations of the visual world? Hubel and Weisel's demonstration of the emergent properties of cortical circuits such as selectivity for the orientation of edges, and their arrangement in an orderly columnar architecture set the stage for a host of studies that have provided key insights into the circuit mechanisms that build cortical representations. While progress has been substantial, we still lack a fundamental understanding of the functional synaptic architecture of cortical circuits--the rules that govern how individual neurons integrate thousands of synaptic inputs with different functional properties to produce coherent sensory responses. My presentation will focus on recent studies employing in vivo 2- photon imaging of the calcium sensor GCaMP6 that probe the organization of functionally defined inputs within the dendritic fields of individual pyramidal neurons in visual cortex. These results suggest that the spatial arrangement of synaptic connections within the dendritic field plays a significant role in the cortical computations that underlie sensory representations.
Jake Yates, Postdoctoral Fellow, University of Rochester
Motion perception is a classic framework for probing computations and circuits underlying perceptual decisions. Despite a long history of studying the sensitivity of single neurons, little is known about how direction is read out from the activity of neural populations. In the first half of the talk, I will describe the activity of small ensembles of MT neurons recorded simultaneously while macaque monkeys performed a 2-alternative coarse direction-discrimination task. By comparing the performance of a simple decoder to the psychophysical performance, we found that the population was more accurate than the best single neurons and performed at least as well as the monkey. We also found that the joint response patterns of neurons was not needed to compute the optimal weight pattern, and that MT populations were most sensitive to the stimulus immediately following motion onset.
In the second half of the talk, I will describe behavioral performance of two marmoset monkeys performing a continuous motion estimation task. The common marmoset is a New World primate that shares similar organization of MT to macaques, but due to its smooth cortex, offers unparalleled access to study large populations of MT neurons. Combined with large-scale recording techniques, this behavioral paradigm offers a new means for studying the neural population code that underlies motion perception.
Beth Buffalo, University of Washington
While it has long been recognized that medial temporal lobe structures are important for memory formation, studies in rodents have also identified exquisite spatial representations in these regions in the form of place cells in the hippocampus and grid cells in the entorhinal cortex. Spatial representations entail neural activity that is observed when the rat is in a given physical location, and these representations are thought to form the basis of navigation via path integration. One striking difference between rodents and primates is the way in which information about the external world is gathered. Rodents typically gather information by moving to visit different locations in the environment, sniffing and whisking. By contrast, primates chiefly use eye movements to visually explore an environment, and our visual system allows for inspection of the environment at a distance. In this seminar, I will discuss recent work from my laboratory that has examined neural activity in the hippocampus and adjacent entorhinal cortex in monkeys performing behavioral tasks including free-viewing of complex natural scenes and navigation in a virtual environment. These data have suggested that spatial representations including place cells, grid cells, border cells, and direction-selective cells can be identified in the primate hippocampal formation even in the absence of physical movement through an environment. I will also discuss new research involving chronic, large-scale recordings throughout the primate brain and other areas of opportunity for future research to further our understanding of the function of the hippocampal formation and the nature of the cognitive map.
Goker Erdogan, BCS Graduate Student, Advisors: Robbie Jacobs, Jiebo Luo, University of Rochester
Shape is a fundamental property of physical objects. It provides crucial information for various critical behaviors from object recognition to motor planning. The fundamental question here for cognitive science is to understand object shape perception, i.e., how our brains extract shape information from sensory stimuli and make use of it. In other words, we want to understand the representations and algorithms our brains use to achieve successful shape perception. This thesis reports a computational theory of shape perception that uses modality-independent, part-based, 3D, object-centered shape representations and frames shape perception as Bayesian inference over such representations. In a series of behavioral, neuroimaging and computational studies reported in the following chapters, we test various aspects of this proposed theory and show that it provides a promising approach to understanding shape perception.
Kristina Nielsen, Johns Hopkins
Little is currently known about the development of higher order visual functions at the neural level, in part because of limitations in existing animal models. Over recent years, ferrets have become a major animal model for the development of visual cortex. So far, however, most studies in ferrets have exclusively focused on the development of early visual stages up to primary visual cortex (V1). My lab has begun to investigate the development of higher visual areas in the ferret, with a particular emphasis on the development of complex motion processing. In this talk, I will cover our recent experiments on motion integration in young and adult ferrets. First, we used behavioral experiments to test whether ferrets can perceive global motion in stimuli that require motion integration. To this end, we trained ferrets to discriminate between leftward and rightward moving random dot kinematograms (RDK), in which the percentage of dots moving in the global direction can be systematically varied. Ferrets were able to perform this task, with performance levels systematically varying with the RDK coherence as expected. Second, using extracellular recordings we were able to demonstrate that area PSS in ferret visual cortex shows signatures of higher order motion processing similar to monkey area MT. Most importantly, PSS neurons appear to integrate local motion signals. In these experiments, we tested the responses of PSS neurons to plaid patterns, which are constructed by superimposing two gratings drifting in different directions. Perceptually, plaid patterns appear to be drifting in a third, intermediate direction. As in monkey MT, a fraction of ferret PSS neurons (15%) responded to the motion of the plaid, not the motion of the individual gratings, consistent with integration of local motion signals. Ferret V1 neurons, in contrast, responded to the motion of the individual components, not the integrated plaid motion. Third, I will present data on the development of simple and complex response properties in PSS. Lastly, I will describe ongoing efforts to investigate the joint development of V1 (which provides input to PSS) and PSS using two-photon microscopy.
Miguel Eckstein, UC Santa Barbara
Shared BCS/CVS Boynton Colloquium
When viewing a human face people first look towards the eyes. A prominent idea holds that these fixation patterns arise solely due to social norms. Here, I propose that this behavior can be explained as an adaptive brain strategy to learn eye movement plans that optimize the rapid extraction of visual information for evolutionarily important perceptual tasks. I show that humans move their eyes to points of fixation that maximize perceptual performance determining the identity, gender, and emotional state of a face. These initial optimal points of fixation, which vary moderately across tasks, are correctly predicted by a foveated Bayesian ideal observer (FIO) that takes into account the task, integrates information optimally across the face but is constrained by the decrease in resolution and sensitivity from the fovea towards the visual periphery. A model that disregards the foveated nature of the visual system and makes eye movements either to the regions/features with the highest discriminative information or center of the face fails to predict the human fixations. The preferred points of initial fixation are similar across cultural groups (East Asians vs. Caucasians). However, there are individual differences with a majority of observers (~ 85 %) looking just below the eyes while a minority (~15 %) closer to the tip of the nose and below. The systematic differences in initial points of fixation persist over time and also correspond to individual variations in the points of fixation that maximize perceptual performance. Finally, observers have difficulty changing their eye movement plans when confronted with unusual faces or simulated scotomas that make their over-practiced preferred points of fixation suboptimal. Together, these results illustrate how the brain optimizes initial eye movements to rapidly extract information from faces based on the statistical distribution of discriminatory information, general properties of the human visual system and individual specific neural characteristics. We propose that the ingrained nature of these highly practiced motor programs might suggest a domain specific neural representation of learned oculomotor plans.
Charlie Granger, Graduate Student, University of Rochester
The retinal pigment epithelium is a monolayer of cells that forms part of the blood-retinal barrier between the neural retina and the choriocapillaris, and performs several functions essential to maintaining the health and function of the retina. Due to its involvement in some retinal diseases, it is desirable to image the retinal pigment epithelium in the living eye to detect or monitor such diseases. This has been accomplished in some commercial clinical instruments by imaging the fluorescence of molecules within retinal pigment epithelial cells, though with limited resolution due to the aberrations of the eye. Short wavelength autofluorescence imaging of lipofuscin has previously been translated to the adaptive optics scanning light ophthalmoscope to allow imaging of the retinal pigment epithelium at the level of single cells. Recently, we have imaged the same cellular mosaic by implementing infrared autofluorescence, which is thought to originate from melanin. Our goals are to develop and utilize these modalities to learn about the retinal pigment epithelium in the living eye, by analyzing the cellular and sub-cellular structure and fluorescence signal. In this talk I will discuss and compare recent results and analysis from each modality, as well as future research directions.
Kimberly Schauder, University of Rochester
My research is guided by two overarching questions: 1) How do individuals with ASD process information differently than typically developing individuals? and 2) How do these information processing differences influence their experience and interaction with the world? In this talk, I will discuss a series of four studies that utilize a vision science approach to better understand neural, perceptual, and cognitive functioning in ASD. Findings across the first two studies suggest that individuals with ASD may have basic deficits in key neural mechanisms, specifically larger receptive field size and increased internal noise. The third study tests the prediction hypothesis of ASD by investigating individuals? abilities to accurately predict the final location of a moving object. We found no evidence of a prediction deficit, which was confirmed across several different analyses. Finally, the fourth study investigates a critical moment of face identification, the first look to a face. I will present findings from a replication study in neurotypical adults, explain our extensive process for adapting the task for use in adolescents with and without ASD, and show preliminary findings demonstrating feasibility in our population of interest.
Farran Briggs, Geisel School of Medicine at Dartmouth
The overarching goal of my research is to understand how visual information is encoded by individual neurons and neuronal circuits. In my talk, I will describe two projects that showcase the different research programs that are ongoing in my lab. The goals of the first project are to understand the neuronal mechanisms of attention. We record from multiple neurons simultaneously spanning the visual thalamus and primary visual cortex in alert and behaving monkeys performing an attention-demanding task to understand how attention alters communication in neuronal circuits and whether attentional modulation of neuronal activity can be predicted by neuronal feature selectivity. The goals of the second project are to understand the functional contribution of corticogeniculate feedback to vision. Based on physiological and morphological evidence, we have demonstrated that corticogeniculate feedback is organized into parallel streams that align with the feedforward parallel processing streams. More recently, we have used optogenetics to manipulate the activity of corticogeniculate neurons selectively and we observe striking effects of corticogeniculate feedback on the timing and precision of thalamic responses to visual inputs. Together, my research highlights the importance of probing visual function and cognitive influences on vision at the granular level in order to gain a more mechanistic understanding of how visual information is encoded in the thalamus and cortex.
Jose Sahel, University of Pittsburgh
Inherited and age-related retinal degenerative diseases are major cause of untreatable blindness due to a loss of photoreceptors. In all conditions where rods are destroyed, cones degenerate secondarily. As cones underlie all visual functions in lighted environment, cone rescue is of crucial importance for maintaining central vision. We discovered rod-derived cone viability factor (RdCVF) [1, 2], a thioredoxin secreted by rod photoreceptors that induces cone survival and prevents the loss of function of cone photoreceptors. Investigating the mechanisms of these protective effects, we have demonstrated that RdCVF acts through Basigin-1 (a transmembrane protein specifically expressed photoreceptors) and GLUT1 (a member of the glucose transporter family) . Our recent investigations provided evidence that while RdCVF protects cones, its long form RdCVFL is involved in defense mechanisms against light-induced oxidative injury on rod and cone photoreceptors, thus a therapy aimed at preventing secondary cone degeneration should be pursued using both RdCVF and RdCVFL . In advanced stages of retinal degenerative diseases when cone photoreceptors integrity is affected to the point that they do not express anymore the cell surface of RdCVF, the administration of RdCVF will be without benefit. In these cases, optogenetics can make possible the conversion of different retinal cells into ?artificial photoreceptors?, offering perspectives for vision restoration in a mutation-independent manner [5, 6].