Attractor dynamics of spatially correlated neural activity in the limbic system
JJ Knierim, K Zhang - Annual review of neuroscience, 2012 - annualreviews.org
Attractor networks are a popular computational construct used to model different brain
systems. These networks allow elegant computations that are thought to represent a number …
systems. These networks allow elegant computations that are thought to represent a number …
Fundamental limits on persistent activity in networks of noisy neurons
Neural noise limits the fidelity of representations in the brain. This limitation has been
extensively analyzed for sensory coding. However, in short-term memory and integrator …
extensively analyzed for sensory coding. However, in short-term memory and integrator …
Neural information processing with feedback modulations
Descending feedback connections, together with ascending feedforward ones, are the
indispensable parts of the sensory pathways in the central nervous system. This study …
indispensable parts of the sensory pathways in the central nervous system. This study …
Correlated neural variability in persistent state networks
A Polk, A Litwin-Kumar… - Proceedings of the …, 2012 - National Acad Sciences
Neural activity that persists long after stimulus presentation is a biological correlate of short-
term memory. Variability in spiking activity causes persistent states to drift over time …
term memory. Variability in spiking activity causes persistent states to drift over time …
A network model of hallucinations
R Goekoop, J Looijestijn - Hallucinations: Research and practice, 2012 - Springer
The study of hallucinations is complicated by the huge number of factors that determine the
occurrence and phenomenological characteristics of these phenomena. Until recently, this …
occurrence and phenomenological characteristics of these phenomena. Until recently, this …
Continuous attractors of recurrent neural networks with complex-valued weights
The global exponential stability (GAS), global asymptotic stability (GES) and multi-stability
(MS) continuous attractors of recurrent neural networks (RNN) with complex-valued weights …
(MS) continuous attractors of recurrent neural networks (RNN) with complex-valued weights …
Effect of constant external input on continuous attractors shifting
J Yu, H Tang - 2012 7th IEEE Conference on Industrial …, 2012 - ieeexplore.ieee.org
The dynamics of a class of recurrent neural networks with uniform constant external input is
investigated in this paper. Nowadays, continuous attractors have been recognized as …
investigated in this paper. Nowadays, continuous attractors have been recognized as …
[引用][C] Canonical Computations in Recurrent Neural Networks: Competitive Dynamics Among A-priori Unknown Activity Patterns$
F Juga, M Cookc, A Stegerb