Neural circuit control of feature tuning in CA1 during spatial learning
The world is a complex and dynamic place. The incredibly dense and constantly changing information stream with which our senses are bombarded must be decomposed, taken in, and processed by any organism hoping to make enough sense of this world in order to survive to the next moment. For complex beha...
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ndltd-columbia.edu-oai-academiccommons.columbia.edu-10.7916-d8-zh6h-mf452021-09-16T05:02:50ZNeural circuit control of feature tuning in CA1 during spatial learningRolotti, Sebastian Victor2021ThesesNeurosciencesBiologyNeurology--ResearchMemory--ResearchHippocampus (Brain)Calcium imagingElectrophysiologyOptogeneticsThe world is a complex and dynamic place. The incredibly dense and constantly changing information stream with which our senses are bombarded must be decomposed, taken in, and processed by any organism hoping to make enough sense of this world in order to survive to the next moment. For complex behaviors, and in particular a great many of those that we often feel define us as a human species, this dense sensory stream must not just be processed, but the important features of the environment must be further distilled and structured into representations that can then be stored long-term to guide future behavior through the joint processes of Learning and Memory. The primary goal of this thesis is to further our understanding of the neurobiological bases - at the subcellular, circuit, and network level - of learning and memory. The hippocampus, one of the most studied systems in the brain by far, is thought to play a central role in learning and memory. Principal cells in the hippocampus become tuned to environmental features, forming persistent representations of an animal’s environment, but the precise mechanisms by which these representations are formed, used, and maintained remain unresolved. By employing a variety of experimental techniques including in vivo two-photon calcium imaging, extracellular electrophysiology, optogenetics, and chemogenetics in awake, behaving mice, we attempted to characterize the subcellular and circuit determinants of place field representations and to connect them to these cells’ role in spatial learning and memory.Englishhttps://doi.org/10.7916/d8-zh6h-mf45 |
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English |
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Neurosciences Biology Neurology--Research Memory--Research Hippocampus (Brain) Calcium imaging Electrophysiology Optogenetics |
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Neurosciences Biology Neurology--Research Memory--Research Hippocampus (Brain) Calcium imaging Electrophysiology Optogenetics Rolotti, Sebastian Victor Neural circuit control of feature tuning in CA1 during spatial learning |
description |
The world is a complex and dynamic place. The incredibly dense and constantly changing information stream with which our senses are bombarded must be decomposed, taken in, and processed by any organism hoping to make enough sense of this world in order to survive to the next moment. For complex behaviors, and in particular a great many of those that we often feel define us as a human species, this dense sensory stream must not just be processed, but the important features of the environment must be further distilled and structured into representations that can then be stored long-term to guide future behavior through the joint processes of Learning and Memory. The primary goal of this thesis is to further our understanding of the neurobiological bases - at the subcellular, circuit, and network level - of learning and memory.
The hippocampus, one of the most studied systems in the brain by far, is thought to play a central role in learning and memory. Principal cells in the hippocampus become tuned to environmental features, forming persistent representations of an animal’s environment, but the precise mechanisms by which these representations are formed, used, and maintained remain unresolved. By employing a variety of experimental techniques including in vivo two-photon calcium imaging, extracellular electrophysiology, optogenetics, and chemogenetics in awake, behaving mice, we attempted to characterize the subcellular and circuit determinants of place field representations and to connect them to these cells’ role in spatial learning and memory. |
author |
Rolotti, Sebastian Victor |
author_facet |
Rolotti, Sebastian Victor |
author_sort |
Rolotti, Sebastian Victor |
title |
Neural circuit control of feature tuning in CA1 during spatial learning |
title_short |
Neural circuit control of feature tuning in CA1 during spatial learning |
title_full |
Neural circuit control of feature tuning in CA1 during spatial learning |
title_fullStr |
Neural circuit control of feature tuning in CA1 during spatial learning |
title_full_unstemmed |
Neural circuit control of feature tuning in CA1 during spatial learning |
title_sort |
neural circuit control of feature tuning in ca1 during spatial learning |
publishDate |
2021 |
url |
https://doi.org/10.7916/d8-zh6h-mf45 |
work_keys_str_mv |
AT rolottisebastianvictor neuralcircuitcontroloffeaturetuninginca1duringspatiallearning |
_version_ |
1719480867288514560 |