RODATTN · Mechanisms of attentional modulation of neural responses in visual cortex of mice
7РП — „Хора“ (Действия „Мария Кюри“)
- Период
- 2012-03-01 → 2014-02-28
- Финансиране от ЕС
- 200 372 €
- Участници
- 1
- Схема
- MC-IIF
Линиите свързват координатора с партньорите.
Накратко на български
Зрийната кора на мишките се наблюдава, за да се види как се променя активността на невроните, когато животното се научи да свързва определен визуален сигнал с награда. Това помага за разбирането на фундаментални въпроси относно начина, по който мозъкът представя информацията.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
Mechanisms of attentional modulation of neural responses in visual cortex of mice
This project was aimed at understanding certain fundamental questions about how information is represented in the brain. In particular, we wanted to study how the visual cortex in mice is activated by specific visual stimuli, and critically, how does that activation change over the course of learning, that is, as the animal learns the relvance of one particular stimulus. This is a very difficult question to address because it requires measuring the activity of the same population of neurons over many days, as an animal is awake and actively learning new associations. To perform such measurements we needed to first develop the tools for this. The solution was an elaborate one, which involved holding a mouse in place using an implant on its head, while it ran in a virtual-reality environment where it was given the illusion of running through a corridor as it ran on a wheel kept under its feet. We previously had to inject calcium sensitive dye into the brain of the mouse and then implant a small glass window on the brain to allow direct viewing of the brain surface. Then while the mouse was running in the virtual reality, we positioned a laser-scanning microscope on top of the mouse's head, and were able to observe the activity of neurons through the implanted window. Once we developed the ability to record from the same population of neurons over multiple days, we developed a simple behavioural task in which the mouse learns to associate one stimulus with a reward and another with absence of reward, and these stimuli were presented to them in the virtual reality. Mice learnt this task within a week, and as they were learning we recorded the activity of hundreds of neurons simultaneously. We were able to complete an entire set of experiments and on analysing the data have found some very interesting results. Most strikingly, there is a large increase in the fraction of cells that represent the rewarded stimulus, and the population of neurons encode the information about the stimulus in a way such that as the animal learns the relevance of the stimulus, there a progressive enhancement in the amount of information encoded about the rewarded stimulus. Figure 3. Neuronal population information about the rewarded stimulus increases as the animal learns the task over a few days We expect to develop these findings further by studying other ways in which we can modulate the attentional context while presenting the same visual stimulus. For this we have made the mouse learn to switch attention from a visual task to an olfactory task while we imaged its brain. We expect to analyse that data soon. The results of that experiment will be crucial in understanding the nature in which the brain switches attention from one modality to another. These results and the expected results together throw light on some of the most important questions about how the brain works, such as the neural dynamics underlying memory and attention. This has been possible by bringing together some of the most cutting edge technologies together and will allow us to further our understanding of the nature of brain function and disease.
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
This proposal aims to study the modulation of neural activity by attention in rodents, and its mechanisms. There has been substantial work done in this field using monkeys, which has revealed a number of interesting facts. However, these studies are limited in a number of ways. Firstly, there is a limit to the extent of invasive procedures that can be conducted in monkeys. Secondly, one cannot use molecular and genetic tools that have exploded in recent years in other model systems, in particular, optogenetics.The fundamental questions I will address in this proposal are: (i) What are the changes occurring in the brain when an animal switches its attention, and (ii) What are the mechanisms the brain uses to implement these changes? While work done primarily in primates has shed some light on the first question, very little is known about the second question. By addressing these questions in mice, I aim to take advantage of the powerful genetic tools available in this species to investigate the neural circuits underlying attention.I will train mice on a novel attention switching task, and optically record stimulus evoked calcium transients from multiple regions of the visual cortex at cellular resolution. I will compare the response to the same stimulus in attending and not attending conditions and I expect to find a difference due to attentional effects. I will further express Channel Rhodopsin in cholinergic neurons and excite the nerve terminals selectively in the visual cortex. In this manner I will test the hypothesis that elevated acetylcholine levels in the visual cortex can cause attention to shift and be maintained towards visual stimuli.This study will be relevant in the context of the European Commission's Europe 2020 strategy, since it will lead to innovation of novel techniques and synthesise multiple cutting edge research areas to result in an innovative research project, which will help in establishing the eminence of the ERA in the global scenario""
Оригинален текст от CORDIS (на английски).
Участници
- UNIVERSITY COLLEGE LONDON · LONDONКоординаторнепознат регион
Връзки
Данни: CORDIS, © Европейски съюз
