An Artificial Neural Network for Rat Navigation: Hippocampal Neural Encoding of Spatial Memory / 類神經網路在大鼠導航中的應用:探討海馬迴在空間記憶中的神經編碼

碩士 / 國立陽明大學 / 生物醫學工程學系 / 104 / In the past neuroscience, hippocampus always has been the focus of attention, a cell found in hippocampus has a stable discharge reaction to specific regions, these cell was called “place cell”. According to place cell provide the hypothesis of “cognitive map” for functional hippocampus. Study on neural coding of these cells is also in full swing, many studies that place cell firing rate with the navigation acts were closely related, the frequency becomes important in many research study objectives. In studies in the trajectory prediction, require information in different brain regions involved included: olfactory cues, Visual cues, grid cells or head direction cells, In robot control, robot is using motion vector to control movement. The past research on animal navigation predicted coordinate or direction. Therefore, we hope that ” predicting movement vector by only using hippocampus ”
Our research design water reward task to train the rats free running in the open environment. Recorded neuron signals using neural network to predict the trajectory. There are two types of neurons in hippocampus: pyramidal cells and interneurons. The pyramidal cells discharge not only in specific location but also corresponding to theta (4-12Hz) band rhythm, known as phase precession. Combine those feature can trajectory forecasts, and a part of interneurons cam improve the accuracy of the system. We want to use place cell and interneuron exploit neural network with regression to predicting movement vector, and simulate trajectory.

Identiferoai:union.ndltd.org:TW/104YM005530051
Date January 2016
CreatorsBo-Wei Chen, 陳柏維
ContributorsYou-Yin Chen, Shuh-Hung Yang, 陳右穎, 楊世宏
Source SetsNational Digital Library of Theses and Dissertations in Taiwan
Languageen_US
Detected LanguageEnglish
Type學位論文 ; thesis
Format48

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