ArticleFrontiers in computational neuroscience2011
Is attentional blink a byproduct of neocortical attractors?
Article in Frontiers in computational neuroscience, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 13 citations in OpenAlex.
- Large-Scale Simulations of Plastic Neural Networks on Neuromorphic Hardware.Frontiers in neuroanatomy · 2016Article
- Reducing the computational footprint for real-time BCPNN learning.Frontiers in neuroscience · 2015Article
- A computational investigation of feedforward and feedback processing in metacontrast backward masking.Frontiers in psychology · 2015Article
- Effect of prestimulus alpha power, phase, and synchronization on stimulus detection rates in a biophysical attractor network model.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2013Article
- Pathological neural attractor dynamics in slowly growing gliomas supports an optimal time frame for white matter plasticity.PloS one · 2013Article
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Authors and funding
2 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
This study proposes a computational model for attentional blink or "blink of the mind," a phenomenon where a human subject misses perception of a later expected visual pattern as two expected visual patterns are presented less than 500 ms apart. A neocortical patch modeled as an attractor network is stimulated with a sequence of 14 patterns 100 ms apart, two of which are expected targets. Patterns that become active attractors are considered recognized. A neocortical patch is represented as a square matrix of hypercolumns, each containing a set of minicolumns with synaptic connections within and across both minicolumns and hypercolumns. Each minicolumn consists of locally connected layer 2/3 pyramidal cells with interacting basket cells and layer 4 pyramidal cells for input stimulation. All neurons are implemented using the Hodgkin-Huxley multi-compartmental cell formalism and include calcium dynamics, and they interact via saturating and depressing AMPA/NMDA and GABA(A) synapses. Stored patterns are encoded with global connectivity of minicolumns across hypercolumns and active patterns compete as the result of lateral inhibition in the network. Stored patterns were stimulated over time intervals to create attractor interference measurable with synthetic spike traces. This setup corresponds with item presentations in human visual attentional blink studies. Stored target patterns were depolarized while distractor patterns where hyperpolarized to represent expectation of items in working memory. Simulations replicated the basic attentional blink phenomena and showed a reduced blink when targets were more salient. Studies on the inhibitory effect of benzodiazepines on attentional blink in human subjects were compared with neocortical simulations where the GABA(A) receptor conductance and decay time were increased. Simulations showed increases in the attentional blink duration, agreeing with observations in human studies. In addition, sensitivity analysis was performed on key parameters of the model, including Ca(2+)-gated K(+) channel conductance, synaptic depression, GABA(A) channel conductance and the NMDA/AMPA ratio of charge entry.
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