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{
    "pk": 21397,
    "title": "Unveiling the Synergistic Effects: A Unified Autonomous Synaptic Development Mechanism for Reservoir Computing",
    "subtitle": null,
    "abstract": "Reservoir computing (RC) offers distinct advantages in extracting spatiotemporal information with low training costs by separating recurrent neural networks into a fixed network with recurrent connections. The quality of the fixed network, known as the reservoir, plays a pivotal role in the performance of the RC system. Our work aims to provide a unified synaptic development framework for RC, constructing a more biologically plausible reservoir to model and understand the neural networks development within the human brain. In this paper, we propose an Autonomous Synaptic Development Reservoir Computing model (ASD-RC) based on an adaptive network of phase oscillators. The reservoir autonomously adjusts the distribution of connection weights in response to external stimuli, forming a task-specific structure. Through experiments and theoretical analyses, we demonstrate that ASD-RC can emulate various synaptic development rules of biological neural networks in \\textit{vivo}, including the Hebbian rule and STDP. Furthermore, experiments reveal that combining different development rules can enhance performance on prediction tasks compared to using a single development rule, showcasing the emergence and effects of synergistic development that improve information processing capacity.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Artificial Intelligence; Cognitive Neuroscience; Dynamical Systems; Computational neuroscience; Neural Networks"
        }
    ],
    "section": "Papers with Oral Presentation",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/71v8783s",
    "frozenauthors": [
        {
            "first_name": "Zhihao",
            "middle_name": "",
            "last_name": "Zuo",
            "name_suffix": "",
            "institution": "Fudan University",
            "department": ""
        },
        {
            "first_name": "Zhongxue",
            "middle_name": "",
            "last_name": "Gan",
            "name_suffix": "",
            "institution": "Fudan University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2024-01-01T11:00:00-07:00",
    "render_galley": null,
    "galleys": [
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            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/21397/galley/10996/download/"
        },
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/21397/galley/21842/download/"
        }
    ]
}