Neuroscience seminars

Se planteara un panorama historico asi como una descrpicion actual de la salud cerebral en Uruguay, se describiran las lineas de accion fundamentales desde el msp para la prevencion, tratamiento, rehabilitacion e investigacion de lops problemas neurologicos en Uruguay

To organize various experiences in a coherent mental representation, we need to properly estimate the duration and temporal order of different events. Yet, our perception of time is noisy and vulnerable to various illusions. Studying these illusions can elucidate the mechanism by which the brain perceives time. In this talk, I will review a few studies on how the brain perceives duration of events and the temporal order between self-generated motion and sensory feedback. Combined with computational models at different levels, these experiments illustrated that the brain incorporates the prior knowledge of the statistical distribution of the duration of stimuli and the decay of memory when estimating duration of an individual event, and adjusts its perception of temporal order to changes in the statistics of the environment.

Computational and cognitive neuroscience techniques have made great strides towards describing the neural computations underlying perceptual inference and decision-making under uncertainty. These tools tell us how and why perceptual illusions occur, which brain areas may represent noisy information in a probabilistic manner, and so on. However, an understanding of the subjective, qualitative aspects of perception remains elusive: qualia, or the personal, intrinsic properties of phenomenal awareness, have remained out of reach of these computational analytic insights. Here, I propose that metacognitive computations, and the subjective feelings that go along with them, give us a solid starting point for understanding subjective experience in general. Specifically, perceptual metacognition possesses ontological and practical properties that provide a powerful and unique opportunity for studying the studying the neural and computational correlates of subjective experience using established tools of computational and cognitive neuroscience. By capitalizing on decades of developments in formal computational model comparisons as applied to the specific properties of perceptual metacognition, we are now in a privileged position to reveal new and exciting insights about how the brain constructs our subjective conscious experiences.

A variety of pharmacological treatments exist for patients suffering from focal seizures, but systemically administered drugs offer only symptomatic relief and frequently cause unwanted side effects. Moreover, available drugs are ineffective in one third of the patients. Thus, developing more targeted and effective treatment strategies is highly warranted. Neurotrophic factors are candidates for treating epilepsy, but their development has been hampered by difficulties in achieving stable and targeted delivery of efficacious concentrations within the brain. We have developed an implantable cell encapsulation system that delivers high and consistent levels of neurotrophic molecules directly to a specific brain region. The potential of this approach has been tested by delivering glial cell line-derived neurotrophic factor (GDNF) to the hippocampus of epileptic rats. In vivo studies demonstrated that these intrahippocampal implants continue to secrete GDNF and produce high hippocampal GDNF tissue levels in a long-lasting manner. Identical implants rapidly and greatly reduced seizure frequency in the pilocarpine model. This effect increased in magnitude over 3 months, ultimately leading to a reduction of spontaneous seizures by more than 90%. Importantly, these effects were accompanied by improvements in cognition and anxiety, and by the normalization of many histological alterations that are associated with chronic epilepsy. In addition, the antiseizure effect persisted even after device removal. Finally, by establishing a unilateral epileptic focus using the intrahippocampal kainate model, we found that delivery of GDNF exclusively within the focus suppressed already established spontaneous recurrent seizures. Together, these results support the concept that the implantation of encapsulated GDNF-secreting cells can deliver GDNF in a sustained, targeted, and efficacious manner. These findings may form the basis for clinical translation of this approach.

The Manookin lab is investigating the structure and function of neural circuits within the retina and developing techniques for treating blindness. Many blinding diseases, such as retinitis pigmentosa, cause death of the rods and cones, but spare other cell types within the retina. Thus, many techniques for restoring visual function following blindness are based on the premise that other cells within the retina remain viable and capable of performing their various roles in visual processing. There are more than 80 different neuronal types in the human retina and these form the components of the specialized circuits that transform the signals from photoreceptors into a neural code responsible for our perception of color, form, and motion, and thus visual experience. The Manookin laboratory is investigating the function and connectivity of neural circuits in the retina using a variety of techniques including electrophysiology, calcium imaging, and electron microscopy. This knowledge is being used to develop more effective techniques for restoring visual function following blindness.

To make judgments, brain must be able to infer the state of the world based on often incomplete and ambiguous evidence. To probe neural circuits that perform the computations underlying such judgments, we developed a behavioral task for mice that required them to detect sustained increases in the speed of a continuously varying visual stimulus. In this talk, I will present evidence that the responses of secondary motor cortex to stimulus fluctuations in this task are consistent with updates of the animal’s state of belief that the change has occurred. These results establish a framework for mechanistic inquiries into neural circuits underlying inference during perceptual decision-making.