Literature DB >> 19249270

Feedforward to the past: the relation between neuronal connectivity, amplification, and short-term memory.

Surya Ganguli1, Peter Latham.   

Abstract

Two studies in this issue of Neuron challenge widely held assumptions about the role of positive feedback in recurrent neuronal networks. Goldman shows that such feedback is not necessary for memory maintenance in a neural integrator, and Murphy and Miller show that it is not necessary for amplification of orientation patterns in V1. Both suggest that seemingly recurrent networks can be feedforward in disguise.

Mesh:

Year:  2009        PMID: 19249270     DOI: 10.1016/j.neuron.2009.02.006

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  7 in total

Review 1.  Mechanisms of Persistent Activity in Cortical Circuits: Possible Neural Substrates for Working Memory.

Authors:  Joel Zylberberg; Ben W Strowbridge
Journal:  Annu Rev Neurosci       Date:  2017-07-25       Impact factor: 12.449

2.  Noise tolerance of attractor and feedforward memory models.

Authors:  Sukbin Lim; Mark S Goldman
Journal:  Neural Comput       Date:  2011-11-17       Impact factor: 2.026

3.  Avalanches in a stochastic model of spiking neurons.

Authors:  Marc Benayoun; Jack D Cowan; Wim van Drongelen; Edward Wallace
Journal:  PLoS Comput Biol       Date:  2010-07-08       Impact factor: 4.475

4.  Timing over tuning: overcoming the shortcomings of a line attractor during a working memory task.

Authors:  Jonathan D Drover
Journal:  PLoS Comput Biol       Date:  2014-01-30       Impact factor: 4.475

5.  Fragility Limits Performance in Complex Networks.

Authors:  Fabio Pasqualetti; Shiyu Zhao; Chiara Favaretto; Sandro Zampieri
Journal:  Sci Rep       Date:  2020-02-04       Impact factor: 4.379

6.  Modeling Working Memory in a Spiking Neuron Network Accompanied by Astrocytes.

Authors:  Susanna Yu Gordleeva; Yuliya A Tsybina; Mikhail I Krivonosov; Mikhail V Ivanchenko; Alexey A Zaikin; Victor B Kazantsev; Alexander N Gorban
Journal:  Front Cell Neurosci       Date:  2021-03-31       Impact factor: 5.505

7.  Spike Pattern Structure Influences Synaptic Efficacy Variability under STDP and Synaptic Homeostasis. I: Spike Generating Models on Converging Motifs.

Authors:  Zedong Bi; Changsong Zhou
Journal:  Front Comput Neurosci       Date:  2016-02-23       Impact factor: 2.380

  7 in total

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