ETIC · Encoding and Transmission of Information in the Mouse Somatosensory Cortex
Horizon 2020 — Marie Skłodowska-Curie Actions
- Duration
- 2016-07-01 → 2018-06-30
- EU contribution
- €168,277
- Participants
- 1
- Scheme
- MSCA-IF-EF-ST
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Results in brief
Encoding and Transmission of Information in the Mouse Somatosensory Cortex
"Brain diseases are taking an increasing toll on aging European Societies, and being able to cure them and limit the costs and the social exclusion they generate is advocated by many European policies. Yet, due to its enormous complexity, the brain is the least understood organ of all. Importantly, in order to be able to treat a malfunctioning brain we first need to understand how a normal brain works, which requires that we first crack the neural code, i.e. the language neurons use to encode and transfer the information they receive from the external world. To address this question much effort has been devoted to record the responses of cortical sensory areas to experimentally controlled stimuli and to build a “dictionary” that can be used to understand how an external event is encoded in the activity of a neural population. Although this so-called “Rosetta Stone” approach has provided much knowledge about the neural code in the past decades, it suffers from three important limitations. First, neurons are noisy: the very same external stimulus can elicit different responses on a neural population, which makes difficult to tear apart what is noise from what constitutes relevant information. Second, to fully describe neural population activities an enormous number of variables –that increases exponentially with the number of neurons- are needed. Third, the ""Rosetta Stone"" approach does not address the question of whether a putative neural code that carries some sensory information is then transmitted to downstream networks. For these reasons, we need to complement statistical approaches like the “Rosetta Stone” with more direct, causal, techniques that allow manipulating the activity of specific sub-populations of neurons. Recently developed optogenetics approaches allow controlling the neuronal activity using light-gated proteins, and therefore provide a way of testing the role of a specific encoding strategy by applying appropriate stimulation protocols to a population of neurons and evaluating the effects of such stimulation, for instance on a post-synaptic network. However, to be correctly applied to neuroscience experiments these techniques need to be complemented by novel theoretical developments that: 1) identify hypotheses about the encoding strategies used by the neural population under study; 2) create stimulation protocols specifically designed to test the identified hypothesis."
Data: CORDIS, © European Union
Project objective
A major challenge in neuroscience is to understand how neurons code information. Optogenetics techniques provide the opportunity of controlling neuronal activity with high temporal and spatial resolution and thus testing causally the role of a specific encoding strategy. However, to enable us to crack the neural code, these optical approaches need to be complemented by theoretical developments that: 1) identify the response variables of a neural population that carry the most information about sensory stimuli and thus allows to build a hypothesis about the neural code it uses; 2) create stimulation protocols specifically designed to rigorously test the hypothesis; 3) apply appropriate statistical analyses that determine whether different information-carrying components of neural population activity are transmitted through downstream networks. Here I will develop a novel theoretical framework to address these issues and understand how the mammalian cortex encodes sensory information, using the mouse somatosensory cortex as an experimental model. I will develop a set of computational techniques aimed at characterizing the encoding and transmission of information in layer IV and then in one of its main targets: layer II/III. Specifically, I will develop Non-Negative Matrix Factorization methods to characterize how large-scale populations of layer IV encode whisker information. I will develop a Wavelet Transform based method to decompose the electrophysiological responses of layer II/III neurons into independently contributing temporal scales and establish which whisker-informative components of layer IV population activity are transmitted to the response of layer 2/3 neurons. This project constitutes a completely novel and comprehensive approach to crack the neural code that lies at the interface between computational neuroscience, optogenetic and neurophysiology and that will provide a crucial step towards the optimal applicability of causal optogenetic techniques.
Original text from CORDIS.
Participants
- FONDAZIONE ISTITUTO ITALIANO DI TECNOLOGIA · GenovaCoordinatorItaly
Links
Data: CORDIS, © European Union
