Continuous attractor model
WebContinuous attractor neural networks are recurrent networks with center-surround interaction profiles that are common ingredients in many neuroscientific models. We study realizations of multiple non-equidistant activity packets in this model. These ... WebJan 10, 2024 · A continuous attractor is a set of connected stable equilibrium points. On the basis of the theorem that we proved on stability and existing findings on equilibria in mathematics, we propose the conditions for the coexistence of two or even multiple continuous attractors in a recurrent neural network.
Continuous attractor model
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WebApr 17, 2014 · In this paper, we present a new attractor network model that accounts for the conjunctive position-by-velocity selectivity of grid cells. Our network model is able to … WebAbstract: Continuous attractor is a promising model for describing the encoding of continuous stimuli in neural systems. In a continuous attractor, the stationary states of …
WebJul 17, 2024 · Start drawing a continuous curve on the paper that represents the trajectory of a hypothetical dynamical system in a 2-D phase space. The shape of the curve you draw can be arbitrary, but with the following limitations: • You can’t let the pen go off the paper. The curve must be drawn in one continuous stroke. WebMotivated by experimental observations of the head direction system, we study a three population network model that operates as a continuous attractor netw A Continuous …
WebContinuous attractor neural networks (CANNs) describe the neural processing of continuous information such as object position, object orientation, and direction of … WebNov 3, 2024 · This work constructs a continuous-attractor network model of the head-direction system, showing how intrinsic dynamics contribute to shaping population firing rates. Article Google Scholar
WebJan 1, 2006 · The continuous attractor neural network (CANN) model used in the current investigation is based on lateral inhibition type neural fields, as described by Wilson and Cowan [77] (see Trappenberg [68 ...
WebFeb 10, 2016 · Owing to its many computationally desirable properties, the model of continuous attractor neural networks (CANNs) has been successfully applied to … christian feldmann infineonWebSep 13, 2006 · The model of Fuhs and Touretzky (2006) is based on continuous attractor dynamics (Seung, 1996). b Conceptually, it accounts for many interesting properties of … christian feldmann forst bwWebFeb 10, 2016 · Continuous Attractor Neural Networks: Candidate of a Canonical Model for Neural Information Representation.pdf Available via license: CC BY 4.0 Content may be subject to copyright. georgetown university volleyball camp 2022WebApr 1, 2003 · A network model endowed with a columnar architecture and based on the physiological properties of cortical neurons and synapses finds that recurrent synaptic … georgetown university volleyballWebDec 12, 2024 · We implemented a realistic model of grid cells based on a continuous attractor model. The grid cell model was coupled to a place cell model to address their … georgetown university us news排名WebApr 2, 2014 · Here, we present simulations of this type of hybrid model, demonstrate that it generates intracellular membrane potential profiles that closely match those observed in vivo, addresses several... christian felkerWebApr 2, 2014 · Here, we have demonstrated that a simple hybrid model in which grid cells in a continuous attractor network are driven by input from VCOs can account for a wide … georgetown university volleyball coaches