Network mechanisms of grid cells
نویسندگان
چکیده
One of the major breakthroughs in neuroscience is the emerging understanding of how signals from the external environment are extracted and represented in the primary sensory cortices of the mammalian brain. The operational principles of the rest of the cortex, however, have essentially remained in the dark. The discovery of grid cells, and their functional organization, opens the door to some of the first insights into the workings of the association cortices, at a stage of neural processing where firing properties are shaped not primarily by the nature of incoming sensory signals but rather by internal self-organizing principles. Grid cells are place-modulated neurons whose firing locations define a periodic triangular array overlaid on the entire space available to a moving animal. The unclouded firing pattern of these cells is rare within the association cortices. In this paper, we shall review recent advances in our understanding of the mechanisms of grid-cell formation which suggest that the pattern originates by competitive network interactions, and we shall relate these ideas to new insights regarding the organization of grid cells into functionally segregated modules.
منابع مشابه
Reliable Flow Control Coding in Low-Buffer Grid Networks
We consider a grid network where nodes contain small buffers. A packet that faces a crowded buffer in its route will get extra latency and may be dropped. In this paper, we propose a novel flow control protocol called RFCC for grid networks. RFCC tries to reroute delayed packets and utilizes network coding to introduce a configurable amount of redundant information in the network, thereby incre...
متن کاملReliable Flow Control Coding in Low-Buffer Grid Networks
We consider a grid network where nodes contain small buffers. A packet that faces a crowded buffer in its route will get extra latency and may be dropped. In this paper, we propose a novel flow control protocol called RFCC for grid networks. RFCC tries to reroute delayed packets and utilizes network coding to introduce a configurable amount of redundant information in the network, thereby incre...
متن کاملمدل شبکه ی عصبی از نگاشت سلولهای شبکه به سلولهای مکانی
Abstract: Medial entorhinal cortex is known to be the hub of a brain system for navigation and spatial representation. These cells increase firing frequency at multiple regions in the environment, arranged in regular triangular grids. Each cell has some properties including spacing, orientation, and phase shift of the nodes of its grid. Entorhinal cortex is commonly perceived to be the major in...
متن کاملApplication of A Route Expansion Algorithm for Transit Routes Design in Grid Networks
Establishing a network of transit routes with satisfactory demand coverage is one of the main goals of transitagencies in moving towards a sustainable urban development. A primary concern in obtaining such anetwork is reducing operational costs. This paper deals with the problem of minimizing construction costsin a grid transportation network while satisfying a certain level o...
متن کاملFuel Cell Voltage Control for Load Variations Using Neural Networks
In the near future the use of distributed generation systems will play a big role in the production ofelectrical energy. One of the most common types of DG technologies , fuel cells , which can be connectedto the national grid by power electronic converters or work alone Studies the dynamic behavior andstability of the power grid is of crucial importance. These studies need to know the exact mo...
متن کاملE2DR: Energy Efficient Data Replication in Data Grid
Abstract— Data grids are an important branch of gird computing which provide mechanisms for the management of large volumes of distributed data. Energy efficiency has recently emerged as a hot topic in large distributed systems. The development of computing systems is traditionally focused on performance improvements driven by the demand of client's applications in scientific and business domai...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره 369 شماره
صفحات -
تاریخ انتشار 2014