Add to ORKGTesis doctoral inédita. Universidad Autónoma de Madrid, Escuela Politécnica Superior, departamento de Ingeniería Informática, noviembre de 201
<p>The network is comprised of N = 70×70 = 4900 neurons, each connected to <i>C</i> = 0.05<i>N</i> o...
Codes for simulating the network model with spatial connectivity (in 2D or 1D) to study how network ...
Local learning neural networks have long been limited by their inability to store correlated pattern...
An attractor neural network on the small-world topology is studied. A learning pattern is presented...
The retrieval abilities of spatially uniform attractor networks can be measured by the global overla...
An attractor neural network on the small-world topology is studied. A learning pattern is presented ...
The model of neural networks on the small-world topology, with metric (local and random connectivit...
Copyright 2007 American Institute of Physics. This article may be downloaded for personal use only. ...
The final publication is available at Springer via http://dx.doi.org/10.1007/11840817_25Proceedings ...
How sensory information is encoded and processed by neuronal circuits is a central question in compu...
Copyright 2005 American Institute of Physics. This article may be downloaded for personal use only. ...
The conditions for the formation of local bumps in the activity of binary attractor neural networks ...
A recurrent neural network model storing multiple spatial maps, or “charts,” is analyzed. A network ...
Redes neurais atratoras são redes de neurônios artificiais com realimentacão e sem estrutura de cone...
Memory is a fundamental part of computational systems like the human brain. Theoretical models ident...
<p>The network is comprised of N = 70×70 = 4900 neurons, each connected to <i>C</i> = 0.05<i>N</i> o...
Codes for simulating the network model with spatial connectivity (in 2D or 1D) to study how network ...
Local learning neural networks have long been limited by their inability to store correlated pattern...
An attractor neural network on the small-world topology is studied. A learning pattern is presented...
The retrieval abilities of spatially uniform attractor networks can be measured by the global overla...
An attractor neural network on the small-world topology is studied. A learning pattern is presented ...
The model of neural networks on the small-world topology, with metric (local and random connectivit...
Copyright 2007 American Institute of Physics. This article may be downloaded for personal use only. ...
The final publication is available at Springer via http://dx.doi.org/10.1007/11840817_25Proceedings ...
How sensory information is encoded and processed by neuronal circuits is a central question in compu...
Copyright 2005 American Institute of Physics. This article may be downloaded for personal use only. ...
The conditions for the formation of local bumps in the activity of binary attractor neural networks ...
A recurrent neural network model storing multiple spatial maps, or “charts,” is analyzed. A network ...
Redes neurais atratoras são redes de neurônios artificiais com realimentacão e sem estrutura de cone...
Memory is a fundamental part of computational systems like the human brain. Theoretical models ident...
<p>The network is comprised of N = 70×70 = 4900 neurons, each connected to <i>C</i> = 0.05<i>N</i> o...
Codes for simulating the network model with spatial connectivity (in 2D or 1D) to study how network ...
Local learning neural networks have long been limited by their inability to store correlated pattern...