Neuromorphic computing aims to build electronic systems that mimic the brain’s remarkable efficiency and adaptability. A key feature of brain is homeostatic plasticity, which stabilizes neural activity; the Bienenstock–Cooper–Munro (BCM) rule accurately describes this by adjusting a neuron’s sensitivity threshold based on past activity. However, implementing the homeostatic rule in synaptic device remains challenging. Here we show that a CuInP₂S₆ memristor naturally realizes the complete BCM rule. We reveal that the device’s intrinsic junction capacitance generates reverse spikes that cause spike-rate-dependent conductance depression, combining with second-order ionic dynamics to replicate key BCM features. Through simulations, we demonstrate that adding a similar capacitance can universally enable this behavior in conventional memristors. Finally, we build a physical reservoir computing system based on this strategy that exhibits robust, noise-tolerant spatiotemporal processing. This work provides a viable path for deploying adaptive homeostatic plasticity in hardware, enhancing the reliability of neuromorphic systems. Neuromorphic computing leverages emerging devices to emulate brain learning mechanisms. Huang et al. report a memristor with a junction capacitor that generates reverse voltage spikes during pulse stimulation to realize homeostatic synaptic plasticity, with efficacy validated through spatiotemporal information processing.
Jiangshun Huang, Anping Huang, Qiaofeng Yang et al.· Nature Communications· 0 citations
Three-dimensional, interconnected hydrogel networks are central to tissue engineering and disease modeling, where tailored pore architecture and mechanical robustness are essential for supporting cellular functions. However, the limited ability to engineer microstructural features in vat polymerization 3D-printed natural hydrogels often compromises scaffold performance, as oversized pores reduce cell attachment and cell-cell interactions while smooth pore walls lack essential topographical cues. Here, we report an emulsion-based ink for vat polymerization 3D printing that enables the fabrication of hydrogels with finely tunable and highly interconnected porous architectures. An oil-in-water resin formulated using gelatin methacrylate (GelMA) contains stable solvent nanodroplets that act as sacrificial templates during photopolymerization. Removal of the dispersed phase yields additive-free porous hydrogels with pore sizes ranging from 0.66 to 46.15 µm and a 2.5-fold enhancement in compressive toughness. This strategy is compatible with digital light processing (DLP) and broadly applicable to multiple photocurable biopolymers, including alginate methacrylate (ALMA) and hyaluronic acid methacrylate (HAMA). The resulting porous scaffolds promote enhanced cell attachment, proliferation, and cell-cell interactions, highlighting the potential of this vat polymerization-compatible platform for advanced biofabrication.
Liwei Liu, Liwen Zhang, Xumin Huang et al.· Small Methods· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
