Stimulus number, duration and intensity encoding in randomly connected attractor networks with synaptic depression
Randomly connected recurrent networks of excitatory groups of neurons can possess a multitude of attractor states. When the internal excitatory synapses of these networks are depressing, the attractor states can be destabilized with increasing input. This leads to an itinerancy, where with either re...
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Frontiers Media S.A.
2013
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3648694/ |
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pubmed-36486942013-05-14 Stimulus number, duration and intensity encoding in randomly connected attractor networks with synaptic depression Miller, Paul Neuroscience Randomly connected recurrent networks of excitatory groups of neurons can possess a multitude of attractor states. When the internal excitatory synapses of these networks are depressing, the attractor states can be destabilized with increasing input. This leads to an itinerancy, where with either repeated transient stimuli, or increasing duration of a single stimulus, the network activity advances through sequences of attractor states. We find that the resulting network state, which persists beyond stimulus offset, can encode the number of stimuli presented via a distributed representation of neural activity with non-monotonic tuning curves for most neurons. Increased duration of a single stimulus is encoded via different distributed representations, so unlike an integrator, the network distinguishes separate successive presentations of a short stimulus from a single presentation of a longer stimulus with equal total duration. Moreover, different amplitudes of stimulus cause new, distinct activity patterns, such that changes in stimulus number, duration and amplitude can be distinguished from each other. These properties of the network depend on dynamic depressing synapses, as they disappear if synapses are static. Thus, short-term synaptic depression allows a network to store separately the different dynamic properties of a spatially constant stimulus. Frontiers Media S.A. 2013-05-09 /pmc/articles/PMC3648694/ /pubmed/23675344 http://dx.doi.org/10.3389/fncom.2013.00059 Text en Copyright © 2013 Miller. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc. |
| repository_type |
Open Access Journal |
| institution_category |
Foreign Institution |
| institution |
US National Center for Biotechnology Information |
| building |
NCBI PubMed |
| collection |
Online Access |
| language |
English |
| format |
Online |
| author |
Miller, Paul |
| spellingShingle |
Miller, Paul Stimulus number, duration and intensity encoding in randomly connected attractor networks with synaptic depression |
| author_facet |
Miller, Paul |
| author_sort |
Miller, Paul |
| title |
Stimulus number, duration and intensity encoding in randomly connected attractor networks with synaptic depression |
| title_short |
Stimulus number, duration and intensity encoding in randomly connected attractor networks with synaptic depression |
| title_full |
Stimulus number, duration and intensity encoding in randomly connected attractor networks with synaptic depression |
| title_fullStr |
Stimulus number, duration and intensity encoding in randomly connected attractor networks with synaptic depression |
| title_full_unstemmed |
Stimulus number, duration and intensity encoding in randomly connected attractor networks with synaptic depression |
| title_sort |
stimulus number, duration and intensity encoding in randomly connected attractor networks with synaptic depression |
| description |
Randomly connected recurrent networks of excitatory groups of neurons can possess a multitude of attractor states. When the internal excitatory synapses of these networks are depressing, the attractor states can be destabilized with increasing input. This leads to an itinerancy, where with either repeated transient stimuli, or increasing duration of a single stimulus, the network activity advances through sequences of attractor states. We find that the resulting network state, which persists beyond stimulus offset, can encode the number of stimuli presented via a distributed representation of neural activity with non-monotonic tuning curves for most neurons. Increased duration of a single stimulus is encoded via different distributed representations, so unlike an integrator, the network distinguishes separate successive presentations of a short stimulus from a single presentation of a longer stimulus with equal total duration. Moreover, different amplitudes of stimulus cause new, distinct activity patterns, such that changes in stimulus number, duration and amplitude can be distinguished from each other. These properties of the network depend on dynamic depressing synapses, as they disappear if synapses are static. Thus, short-term synaptic depression allows a network to store separately the different dynamic properties of a spatially constant stimulus. |
| publisher |
Frontiers Media S.A. |
| publishDate |
2013 |
| url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3648694/ |
| _version_ |
1611976289279803392 |