Autapse-inspired neuromorphic hardware with synapse–neuron integration for bidirectional feedback control

Abstract Establishing autonomous and energy-efficient feedback control at the hardware level remains challenging because conventional systems rely on centralized processing and continuous external computation, increasing energy consumption and system complexity. Here we show a neuromorphic autapse-inspired system that enables localized and bidirectional feedback control, using thermoregulation as a representative application. An autapse is a self-synaptic connection in which a neuron feeds its output back to its own synaptic input, enabling intrinsic feedback modulation. The system integrates a solid electrolyte-based synaptic transistor capable of multiplexing multiple inputs and a bidirectional leaky integrate-and-fire artificial neuron. By feeding the neuronal output back to an additional synaptic gate, excitatory and inhibitory feedback loops are realized within a compact architecture. Using an artificial thermoregulation platform, temperature-dependent inputs bidirectionally modulate neuronal firing frequency, demonstrating biologically inspired feedback control with a compact set of neuromorphic devices for autonomous and energy-efficient systems.

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Publication Details

Journal
Nature Communications
Published
2026-11-12
DOI
https://doi.org/10.1038/s41467-026-79401-z
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Autapse-inspired neuromorphic hardware with synapse–neuron integration for bidirectional feedback control

Jeong Hwan Song, Yoon Seok Jung, Seonkwon Kim, Jeong Ho Cho et al.
Nature Communications
Advanced Memory and Neural Computing
article

Autapse-inspired neuromorphic hardware with synapse–neuron integration for bidirectional feedback control

Jeong Hwan Song, Yoon Seok Jung, Seonkwon Kim, Jeong Ho Cho, Hyunsu Ju, Chan Kim, Leejae Kim, Seongil Im, Gun Hwan Kim, Jongyoung Lee
article en

Abstract

Abstract Establishing autonomous and energy-efficient feedback control at the hardware level remains challenging because conventional systems rely on centralized processing and continuous external computation, increasing energy consumption and system complexity. Here we show a neuromorphic autapse-inspired system that enables localized and bidirectional feedback control, using thermoregulation as a representative application. An autapse is a self-synaptic connection in which a neuron feeds its output back to its own synaptic input, enabling intrinsic feedback modulation. The system integrates a solid electrolyte-based synaptic transistor capable of multiplexing multiple inputs and a bidirectional leaky integrate-and-fire artificial neuron. By feeding the neuronal output back to an additional synaptic gate, excitatory and inhibitory feedback loops are realized within a compact architecture. Using an artificial thermoregulation platform, temperature-dependent inputs bidirectionally modulate neuronal firing frequency, demonstrating biologically inspired feedback control with a compact set of neuromorphic devices for autonomous and energy-efficient systems.

Nature Communications
Advanced Memory and Neural Computing
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Autapse-inspired neuromorphic hardware with synapse–neuron integration for bidirectional feedback control — Jeong Hwan Song, Yoon Seok Jung, et al. · Nature Communications (2026) | TGRS Research Map | TGRS