The Interplay of Synaptic Plasticity and Scaling Enables Self-Organized Formation and Allocation of Multiple Memory Representations
It is commonly assumed that memories about experienced stimuli are represented by groups of highly interconnected neurons called cell assemblies. This requires allocating and storing information in the neural circuitry, which happens through synaptic weight adaptations at different types of synapses...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2020-10-01
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| Series: | Frontiers in Neural Circuits |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fncir.2020.541728/full |
| _version_ | 1818523179348393984 |
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| author | Johannes Maria Auth Johannes Maria Auth Timo Nachstedt Timo Nachstedt Christian Tetzlaff Christian Tetzlaff |
| author_facet | Johannes Maria Auth Johannes Maria Auth Timo Nachstedt Timo Nachstedt Christian Tetzlaff Christian Tetzlaff |
| author_sort | Johannes Maria Auth |
| collection | DOAJ |
| description | It is commonly assumed that memories about experienced stimuli are represented by groups of highly interconnected neurons called cell assemblies. This requires allocating and storing information in the neural circuitry, which happens through synaptic weight adaptations at different types of synapses. In general, memory allocation is associated with synaptic changes at feed-forward synapses while memory storage is linked with adaptation of recurrent connections. It remains, however, largely unknown how memory allocation and storage can be achieved and the adaption of the different synapses involved be coordinated to allow for a faithful representation of multiple memories without disruptive interference between them. In this theoretical study, by using network simulations and phase space analyses, we show that the interplay between long-term synaptic plasticity and homeostatic synaptic scaling organizes simultaneously the adaptations of feed-forward and recurrent synapses such that a new stimulus forms a new memory and where different stimuli are assigned to distinct cell assemblies. The resulting dynamics can reproduce experimental in-vivo data, focusing on how diverse factors, such as neuronal excitability and network connectivity, influence memory formation. Thus, the here presented model suggests that a few fundamental synaptic mechanisms may suffice to implement memory allocation and storage in neural circuitry. |
| first_indexed | 2024-12-11T05:41:58Z |
| format | Article |
| id | doaj.art-d73c4c74259143a586ec2efc7ca4d959 |
| institution | Directory Open Access Journal |
| issn | 1662-5110 |
| language | English |
| last_indexed | 2024-12-11T05:41:58Z |
| publishDate | 2020-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neural Circuits |
| spelling | doaj.art-d73c4c74259143a586ec2efc7ca4d9592022-12-22T01:19:06ZengFrontiers Media S.A.Frontiers in Neural Circuits1662-51102020-10-011410.3389/fncir.2020.541728541728The Interplay of Synaptic Plasticity and Scaling Enables Self-Organized Formation and Allocation of Multiple Memory RepresentationsJohannes Maria Auth0Johannes Maria Auth1Timo Nachstedt2Timo Nachstedt3Christian Tetzlaff4Christian Tetzlaff5Department of Computational Neuroscience, Third Institute of Physics, Georg-August-Universität, Göttingen, GermanyBernstein Center for Computational Neuroscience, Göttingen, GermanyDepartment of Computational Neuroscience, Third Institute of Physics, Georg-August-Universität, Göttingen, GermanyBernstein Center for Computational Neuroscience, Göttingen, GermanyDepartment of Computational Neuroscience, Third Institute of Physics, Georg-August-Universität, Göttingen, GermanyBernstein Center for Computational Neuroscience, Göttingen, GermanyIt is commonly assumed that memories about experienced stimuli are represented by groups of highly interconnected neurons called cell assemblies. This requires allocating and storing information in the neural circuitry, which happens through synaptic weight adaptations at different types of synapses. In general, memory allocation is associated with synaptic changes at feed-forward synapses while memory storage is linked with adaptation of recurrent connections. It remains, however, largely unknown how memory allocation and storage can be achieved and the adaption of the different synapses involved be coordinated to allow for a faithful representation of multiple memories without disruptive interference between them. In this theoretical study, by using network simulations and phase space analyses, we show that the interplay between long-term synaptic plasticity and homeostatic synaptic scaling organizes simultaneously the adaptations of feed-forward and recurrent synapses such that a new stimulus forms a new memory and where different stimuli are assigned to distinct cell assemblies. The resulting dynamics can reproduce experimental in-vivo data, focusing on how diverse factors, such as neuronal excitability and network connectivity, influence memory formation. Thus, the here presented model suggests that a few fundamental synaptic mechanisms may suffice to implement memory allocation and storage in neural circuitry.https://www.frontiersin.org/article/10.3389/fncir.2020.541728/fullmemory allocationmemory formationsynaptic plasiticitysynaptic scalingnetwork dynamic |
| spellingShingle | Johannes Maria Auth Johannes Maria Auth Timo Nachstedt Timo Nachstedt Christian Tetzlaff Christian Tetzlaff The Interplay of Synaptic Plasticity and Scaling Enables Self-Organized Formation and Allocation of Multiple Memory Representations Frontiers in Neural Circuits memory allocation memory formation synaptic plasiticity synaptic scaling network dynamic |
| title | The Interplay of Synaptic Plasticity and Scaling Enables Self-Organized Formation and Allocation of Multiple Memory Representations |
| title_full | The Interplay of Synaptic Plasticity and Scaling Enables Self-Organized Formation and Allocation of Multiple Memory Representations |
| title_fullStr | The Interplay of Synaptic Plasticity and Scaling Enables Self-Organized Formation and Allocation of Multiple Memory Representations |
| title_full_unstemmed | The Interplay of Synaptic Plasticity and Scaling Enables Self-Organized Formation and Allocation of Multiple Memory Representations |
| title_short | The Interplay of Synaptic Plasticity and Scaling Enables Self-Organized Formation and Allocation of Multiple Memory Representations |
| title_sort | interplay of synaptic plasticity and scaling enables self organized formation and allocation of multiple memory representations |
| topic | memory allocation memory formation synaptic plasiticity synaptic scaling network dynamic |
| url | https://www.frontiersin.org/article/10.3389/fncir.2020.541728/full |
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