EngineeringPercepts
Financiado
Reverse engineering sensory perception and decision making bridging physiology...
Reverse engineering sensory perception and decision making bridging physiology anatomy and behavior
Understanding how the brain is able to transform sensory input into decisions is one of the major challenges of systems neuroscience. While recording/imaging during sensory-motor tasks identified neural substrates of sensation and...
Understanding how the brain is able to transform sensory input into decisions is one of the major challenges of systems neuroscience. While recording/imaging during sensory-motor tasks identified neural substrates of sensation and action in various cortical areas, the crucial questions of 1) how these correlates are implemented within the underlying neural networks and 2) how their output triggers decisions, will only be answered when the individual functional measurements are integrated into a coherent model of all task-related circuits.
The goal of my proposal is to use the rodent vibrissal system for building such a model in the context of how a tactile-mediated percept is encoded by the interplay between biophysical, cellular and network mechanisms. Specifically, rodents decide to cross a gap when detecting its far side with a single facial whisker. This suggests that whisker contact with the platform, if synchronized with an internal motor signal, triggers the decision. My key hypothesis is that in sensory cortex layer 5 thick-tufted (L5tt) neurons receive touch and motor information via specific pathways that target basal and apical tuft dendrites, respectively. When localizing the far side of the gap, the two inputs coincide and result in burst spiking output to (sub)cortical areas, triggering the gap cross.
To test this hypothesis, I will determine all sensory/motor-related local and long-range inputs/outputs to/from L5tt neurons, measure whisker-evoked responses of these populations and use the data to constrain network simulations of active whisker touch. Using a multidisciplinary approach, combining in vivo electrophysiology, virus injections, custom imaging/reconstruction tools and Monte Carlo simulations, my reverse engineering strategy will provide unmatched mechanistic insight to perceptual decision making and will function as a show case – generalizable across sensory modalities and species – of how to derive computations that underlie behavior.
ver más
31/07/2020
Líder desconocido
2M€
Duración del proyecto: 61 meses
Fecha Inicio: 2015-06-09
Fecha Fin: 2020-07-31
Fecha Fin: 2020-07-31
Línea de financiación: concedida
El organismo H2020 notifico la concesión del proyecto el día 2020-07-31
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
ERC-StG-2014:
ERC Starting Grant
Cerrada
hace 10 años
Presupuesto
El presupuesto total del proyecto asciende a
2M€
Líder del proyecto
Líder desconocido