ArticleNature communications2016
Spontaneous emergence of fast attractor dynamics in a model of developing primary visual cortex.
Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 24 citations in OpenAlex.
- Spiking attractor model of motor cortex explains modulation of neural and behavioral variability by prior target information.Nature communications · 2024Article
- Sensory coding and contrast invariance emerge from the control of plastic inhibition over emergent selectivity.PLoS computational biology · 2021Article
- Assessment of optogenetically-driven strategies for prosthetic restoration of cortical vision in large-scale neural simulation of V1.Scientific reports · 2021Article
- Precision multidimensional neural population code recovered from single intracellular recordings.Scientific reports · 2020Article
- Autonomous emergence of connectivity assemblies via spike triplet interactions.PLoS computational biology · 2020Article
- Contextual Integration in Cortical and Convolutional Neural Networks.Frontiers in computational neuroscience · 2020Article
- Computing by modulating spontaneous cortical activity patterns as a mechanism of active visual processing.Nature communications · 2019Article
- Theoretical Models of Neural Development.iScience · 2018Review
- Emergence of spontaneous assembly activity in developing neural networks without afferent input.PLoS computational biology · 2018Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
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Abstract
Recent evidence suggests that neurons in primary sensory cortex arrange into competitive groups, representing stimuli by their joint activity rather than as independent feature analysers. A possible explanation for these results is that sensory cortex implements attractor dynamics, although this proposal remains controversial. Here we report that fast attractor dynamics emerge naturally in a computational model of a patch of primary visual cortex endowed with realistic plasticity (at both feedforward and lateral synapses) and mutual inhibition. When exposed to natural images (but not random pixels), the model spontaneously arranges into competitive groups of reciprocally connected, similarly tuned neurons, while developing realistic, orientation-selective receptive fields. Importantly, the same groups are observed in both stimulus-evoked and spontaneous (stimulus-absent) activity. The resulting network is inhibition-stabilized and exhibits fast, non-persistent attractor dynamics. Our results suggest that realistic plasticity, mutual inhibition and natural stimuli are jointly necessary and sufficient to generate attractor dynamics in primary sensory cortex.
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