… Samsonovich and McNaughton [15] proposed a neural network … path integration in a
continuous attractor network. In [16], a place cell model for combining perceptual features and path …

… neural network model of path integration derived from a starting assumption that the brain
represents continuous … be incorporated into cognitive maps. We believe that coupling low-level …

… attractor neural network models in describing how the brain maintains persistent activity states
for working memory, corrects errors and integrates … potential uses of attractor dynamics for …

… In our model, path integration is performed by the intrinsic attractor dynamics driven by
velocity inputs, rather than simply displacing the copy of the activity package. In the proposed …

… -dimensional (2D) path integration because they extend to all … path-integration signals than
place cells 54 . Indeed, when neural network models are trained to perform path integration, …

… To navigate successfully, an animal needs to create an internal “cognitive map,” a mental
representation of the outside world 1 . This mental representation is known to be sustained by …

… This brain region is believed to implement a cognitive map—a neural implementation of
high-level cognitive information about the spatial environment. Cell types in this region, such as …

… network (only six locations shown). Therefore, we conclude that the HD network is a quasi-
continuous attractor … Note that for the network size used ( NHD = 60 ) we still obtain discrete …

… 存在对环境的整体认知,被称 为“认知地图 (cognitive map)”.个体基于自身运动实 时更新头朝向
和位置认知的过程被称为路径积分 (path integration)[14],它是路径规划的基础;动物经由自身运 动…

… of a neural network which forms via a learning process. The result is a neural structure
which we call a cognitive map. The defining property of a cognitive map is that is has a neural …