Rich spectrum of neural field dynamics in the presence of short-term synaptic depression

He Wang; Kin Lam; C. C. Alan Fung; K. Y. Michael Wong; Si Wu

doi:10.1103/PhysRevE.92.032908

Rich spectrum of neural field dynamics in the presence of short-term synaptic depression

He Wang
, Kin Lam
, C. C. Alan Fung
, K. Y. Michael Wong
, Si Wu

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

2 Citations (Scopus)

Abstract

In continuous attractor neural networks (CANNs), spatially continuous information such as orientation, head direction, and spatial location is represented by Gaussian-like tuning curves that can be displaced continuously in the space of the preferred stimuli of the neurons. We investigate how short-term synaptic depression (STD) can reshape the intrinsic dynamics of the CANN model and its responses to a single static input. In particular, CANNs with STD can support various complex firing patterns and chaotic behaviors. These chaotic behaviors have the potential to encode various stimuli in the neuronal system.

Original language	English
Article number	032908
Journal	Physical Review E - Statistical, Nonlinear, and Soft Matter Physics
Volume	92
Issue number	3
DOIs	https://doi.org/10.1103/PhysRevE.92.032908
Publication status	Published - 14 Sept 2015
Externally published	Yes

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Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

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title = "Rich spectrum of neural field dynamics in the presence of short-term synaptic depression",

abstract = "In continuous attractor neural networks (CANNs), spatially continuous information such as orientation, head direction, and spatial location is represented by Gaussian-like tuning curves that can be displaced continuously in the space of the preferred stimuli of the neurons. We investigate how short-term synaptic depression (STD) can reshape the intrinsic dynamics of the CANN model and its responses to a single static input. In particular, CANNs with STD can support various complex firing patterns and chaotic behaviors. These chaotic behaviors have the potential to encode various stimuli in the neuronal system.",

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AU - Wang, He

AU - Lam, Kin

AU - Fung, C. C. Alan

AU - Wong, K. Y. Michael

AU - Wu, Si

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2015/9/14

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N2 - In continuous attractor neural networks (CANNs), spatially continuous information such as orientation, head direction, and spatial location is represented by Gaussian-like tuning curves that can be displaced continuously in the space of the preferred stimuli of the neurons. We investigate how short-term synaptic depression (STD) can reshape the intrinsic dynamics of the CANN model and its responses to a single static input. In particular, CANNs with STD can support various complex firing patterns and chaotic behaviors. These chaotic behaviors have the potential to encode various stimuli in the neuronal system.

AB - In continuous attractor neural networks (CANNs), spatially continuous information such as orientation, head direction, and spatial location is represented by Gaussian-like tuning curves that can be displaced continuously in the space of the preferred stimuli of the neurons. We investigate how short-term synaptic depression (STD) can reshape the intrinsic dynamics of the CANN model and its responses to a single static input. In particular, CANNs with STD can support various complex firing patterns and chaotic behaviors. These chaotic behaviors have the potential to encode various stimuli in the neuronal system.

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DO - 10.1103/PhysRevE.92.032908

M3 - RGC 21 - Publication in refereed journal

C2 - 26465541

SN - 1539-3755

VL - 92

JO - Physical Review E - Statistical, Nonlinear, and Soft Matter Physics

JF - Physical Review E - Statistical, Nonlinear, and Soft Matter Physics

IS - 3

M1 - 032908

ER -

Rich spectrum of neural field dynamics in the presence of short-term synaptic depression

Abstract

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