Distinct role of flexible and stable encodings in sequential working memory

Lee, Hyeonsu; Choi, Woochul; Park, Youngjin; Paik, Se-Bum

doi:10.1016/j.neunet.2019.09.034

Cited by 14 publications

(10 citation statements)

References 53 publications

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“…Indeed, cortical orientation tuning and its columnar organization are observed before the complete development of recurrent circuits, and the spatial layout of this initial organization is maintained through the development stage (Chapman et al, 1996;Crair et al, 1998;Huberman et al, 2008). This indicates that the cortical organization of orientation tuning is initially seeded by feedforward afferents and can be fine-tuned by various types of synaptic plasticity in feedforward and recurrent circuits (Park et al, 2017;Lee et al, 2020).…”

Section: Discussionmentioning

confidence: 98%

Retino-Cortical Mapping Ratio Predicts Columnar and Salt-and-Pepper Organization in Mammalian Visual Cortex

2020

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Section: Discussionmentioning

confidence: 98%

Retino-Cortical Mapping Ratio Predicts Columnar and Salt-and-Pepper Organization in Mammalian Visual Cortex

2020

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“…More recent studies on sequential working memory propose similar model architectures that enable the use of Hebbian plasticity [39]. For example, spatiotemporal input patterns can be encoded in a set of feedforward synapses using STDP-type rules [40,41]. Combining these approaches with our model might be an interesting line of future research.…”

Section: Discussionmentioning

confidence: 99%

Learning spatiotemporal signals using a recurrent spiking network that discretizes time

2020

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Learning to produce spatiotemporal sequences is a common task that the brain has to solve. The same neurons may be used to produce different sequential behaviours. The way the brain learns and encodes such tasks remains unknown as current computational models do not typically use realistic biologically-plausible learning. Here, we propose a model where a spiking recurrent network of excitatory and inhibitory spiking neurons drives a read-out layer: the dynamics of the driver recurrent network is trained to encode time which is then mapped through the read-out neurons to encode another dimension, such as space or a phase. Different spatiotemporal patterns can be learned and encoded through the synaptic weights to the read-out neurons that follow common Hebbian learning rules. We demonstrate that the model is able to learn spatiotemporal dynamics on time scales that are behaviourally relevant and we show that the learned sequences are robustly replayed during a regime of spontaneous activity.

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“…From the simulations based on the anatomy of retinal circuits, we demonstrate that temporally asynchronous retinal waves from ON and OFF RGCs can drive V1 neurons selectively by theirorientation tuning, which drives feature-specific wirings of neurons with activity-dependent plasticity ( Park et al, 2017 ; Lee et al, 2020 ) of horizontal wirings in the cortex. We also show that the developed LHCs can induce patterned cortical activities, matching the topography of underlying orientation maps as observed in ferrets before eye-opening ( Smith et al, 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Spontaneous Retinal Waves Can Generate Long-Range Horizontal Connectivity in Visual Cortex

et al. 2020

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In the primary visual cortex (V1) of higher mammals, long-range horizontal connections (LHCs) are observed to develop, linking iso-orientation domains of cortical tuning. It is unknown how this feature-specific wiring of circuitry develops before eye-opening. Here, we suggest that LHCs in V1 may originate from spatiotemporally structured feedforward activities generated from spontaneous retinal waves. Using model simulations based on the anatomy and observed activity patterns of the retina, we show that waves propagating in retinal mosaics can initialize the wiring of LHCs by coactivating neurons of similar tuning, whereas equivalent random activities cannot induce such organizations. Simulations showed that emerged LHCs can produce the patterned activities observed in V1, matching the topography of the underlying orientation map. The model can also reproduce feature-specific microcircuits in the salt-and-pepper organizations found in rodents. Our results imply that early peripheral activities contribute significantly to cortical development of functional circuits.

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Distinct role of flexible and stable encodings in sequential working memory

Cited by 14 publications

References 53 publications

Retino-Cortical Mapping Ratio Predicts Columnar and Salt-and-Pepper Organization in Mammalian Visual Cortex

Retino-Cortical Mapping Ratio Predicts Columnar and Salt-and-Pepper Organization in Mammalian Visual Cortex

Learning spatiotemporal signals using a recurrent spiking network that discretizes time

Spontaneous Retinal Waves Can Generate Long-Range Horizontal Connectivity in Visual Cortex

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