Biologically Plausible Computational Models of Perirhinal Cortex

项目摘要 人类和其他动物能够无缝整合感官和记忆信息。作为一种媒介， 颞叶结构位于高级感觉皮层的顶端，嗅周皮层（PRC）的理想位置是 支持感知记忆集成。事实上，PRC已被证明在多种疾病中发挥因果作用， 行为，包括基于熟悉度的识别，视觉对象感知和恐惧条件反射。然而这 事实证明，职能的汇合难以正式确定，对机制存在相当大的争议 使PRC能够在这些不同的行为中发挥作用。通过整合传统的神经科学方法 在一个新的深度学习计算框架内，该提案旨在形式化和评估 PRC函数的计算理论我有三个具体目标： 目标1.我的研究生工作已经奠定了正式的PRC功能的基础。通过整合病变， 在深度学习框架内的电生理学和行为数据，这项工作解决了数十年来 似乎不一致的实验结果周围的PRC参与视觉对象感知。更 特别是，我发现一个生物学上合理的计算代理灵长类动物腹侧视觉流（VVS） 近似PRC损伤（人类和非人类）灵长类动物的视觉辨别行为，直接 从实验性刺激。相反，PRC完好的参与者能够超越PRC受损的行为， 以及这些计算代理的VVS-一个发现，牵连PRC在这些行为。 目标二。在F99阶段提出的工作将建立在我以前的工作，包括计算 PRC-dependent visual discrimination behaviors.首先，我会从生物学角度 PRC完整视觉行为的计算模型能够实现PRC完整人类的性能 参与者同时进行视觉辨别任务。然后，我将确定哪些PRC模型最适合- PRC功能的体内（fMRI）测量。这将为构建深度学习模型提供广泛的培训 视觉行为，以及神经影像学专业知识，利用我研究生院的资源。 目标3。K 00阶段提出的工作将建立在这些感知模型的基础上，以包括PRC的已知 记忆功能我打算在记忆的强化学习（RL）模型方面获得丰富的经验， 行为。通过将深度学习和强化学习整合到一个生物学上合理的计算模型中， 框架，我将建立一个基于PRC的感知记忆行为的集成模型。 总的来说，这一建议提供了一个新的框架，表征典型和非典型的感知记忆 行为，有希望的新见解的神经生物学的感知和记忆，同时概述了培训我 需要成为计算认知神经科学前沿的独立研究人员。我希望 这一框架可能为未来的临床应用提供基础，以解决记忆相关疾病。

PROJECT SUMMARY Humans and other animals are able to seamlessly integrate sensory and mnemonic information. As a medial temporal lobe structure at the apex of high-level sensory cortices, perirhinal cortex (PRC) is ideally situated to support perceptual-mnemonic integration. Indeed, PRC has been shown to play a causal role in diverse behaviors, including familiarity-based recognition, visual object perception, and fear conditioning. Yet this confluence of functions has proven difficult to formalize, and there is considerable debate over the mechanisms that enable PRC to play a role in these diverse behaviors. By integrating traditional neuroscientific methods within a novel deep learning computational framework, this proposal aims to formalize and evaluate computational theories of PRC function. I have three specific aims: Aim 1. My graduate work has already laid the foundation to formalize PRC function. By integrating lesion, electrophysiological, and behavioral data within a deep learning framework, this work resolves decades of seemingly inconsistent experimental findings surrounding PRC involvement in visual object perception. More specifically, I find that a biologically plausible computational proxy for the primate ventral visual stream (VVS) approximates the visual discrimination behaviors of PRC-lesioned (human and non-human) primates, directly from experimental stimuli. Conversely, PRC-intact participants are able to outperform PRC-lesioned behaviors, as well as these computational proxies for the VVS—a finding that implicates PRC in these behaviors. Aim 2. The work proposed during the F99 phase will build upon my previous work to include a computational account of PRC-dependent visual discrimination behaviors. First, I will develop biologically plausible computational models of PRC-intact visual behaviors able to achieve the performance of PRC-intact human participants on concurrent visual discrimination tasks. Then, I will identify which of these PRC-models best fit in- vivo (fMRI) measurements of PRC function. This will provide extensive training in building deep learning models of visual behaviors, alongside neuroimaging expertise, harnessing resources available at my graduate institution. Aim 3. Work proposed in the K00 phase will build upon these perceptual models to include PRC's known mnemonic functions. I intend to gain extensive experience with reinforcement learning (RL) models of mnemonic behaviors. By integrating deep learning and reinforcement learning within a biologically plausible computational framework, I will build towards an integrated model of PRC-dependent perceptual-mnemonic behaviors. Collectively, this proposal offers a novel framework for characterizing typical and atypical perceptual-mnemonic behaviors, promising new insights into the neurobiology of perception and memory, while outlining the training I need to be an independent researcher at the forefront of computational cognitive neuroscience. It is my hope that this framework may provide a foundation for future clinical applications to address memory-related disorders.