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Preface to Focus Topic on Integrated Circuits,Technologies and Applications(ICTA)2025 认领 引用
1
作者 Yan Lu Sai-Weng Sin 《Journal of Semiconductors》 EI CAS CSCD 2026年第6期37-38,共2页
This Special Topic of the Journal of Semiconductors(JoS)features expanded versions of key articles presented at the 2025 IEEE International Conference on Integrated Circuits Technologies and Applications(ICTA),which w... This Special Topic of the Journal of Semiconductors(JoS)features expanded versions of key articles presented at the 2025 IEEE International Conference on Integrated Circuits Technologies and Applications(ICTA),which was held in Macao,China,from October 22 to 24,2025.IEEE ICTA is an IEEE flagship conference in the field of integrated circuits(IC)in China,which provides a communication platform for sharing the state-of-the-art techniques from experts in the field of ICs.Among the 146 papers presented at ICTA 2025,the Technical Program Committee and the Award Committee have selected 3 high-quality articles for recommending to the Special Topic of JoS,covering the technical fields of RF,medical neural interface,and vision sensing ICs. 展开更多
关键词 technologies RF integrated circuits IEEE International Conference Integrated Circuits Technologies Applications integrated circuits ic integrated circuits expanded versions key articles medical neural interface integrated circuits applications
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Acupoints as state-dependent neuroimmune gateways:insights from stress-responsive neuroimmune circuits 认领 引用
2
作者 Hi-Joon Park 《Acupuncture and Herbal Medicine》 CAS CSCD 2026年第2期258-260,共3页
A specialized sympathetic-eosinophil circuit in stress-induced inflammation.Psychological stress is widely recognized as an important aggravating factor in atopic dermatitis(AD)[1],yet the biological pathways that tra... A specialized sympathetic-eosinophil circuit in stress-induced inflammation.Psychological stress is widely recognized as an important aggravating factor in atopic dermatitis(AD)[1],yet the biological pathways that translate central stress perception into peripheral inflammation remain unclear.Tian et al.[2]identified a specialized neuroimmune circuit in which prodynorphin-expressing(Pdyn+)sympathetic neurons regulated eosinophil-mediated skin inflammation under stressful conditions. 展开更多
关键词 prodynorphin expressing sympathetic neurons sympathetic eosinophil circuit psychological stress atopic dermatitis ad stress responsive neuroimmune circuits atopic dermatitis peripheral inflammation neuroimmune circuit
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Augmenting Density Matrix Renormalization Group with Matchgates and Clifford Circuits 认领 引用
3
作者 Jiale Huang Xiangjian Qian +1 位作者 Zhendong Li Mingpu Qin 《Chinese Physics Letters》 SCIE EI CAS CSCD 2026年第4期252-259,共8页
Matchgates and Clifford circuits are two types of quantum circuits which can be efficiently simulated classically,though the underlying reasons are quite different.Matchgates are essentially the single particle basis ... Matchgates and Clifford circuits are two types of quantum circuits which can be efficiently simulated classically,though the underlying reasons are quite different.Matchgates are essentially the single particle basis transformations in the Majorana fermion representation,which can be easily handled classically,while the Clifford circuits can be efficiently simulated using the tableau method according to the Gottesman–Knill theorem. 展开更多
关键词 tableau method quantum circuits majorana fermion representationwhich clifford circuits renormalization group gottesman knill theorem augmenting single particle basis transformations
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Resource-aware distributed quantum circuits partitioning strategy and transmission cost optimization 认领 引用
4
作者 Pengcheng Zhu Zongyuan Dai +2 位作者 Lihua Wei Jin Qian Shi-Guang Feng 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第7期393-408,共16页
To overcome the physical limitations of current quantum hardware in terms of available qubits and connectivity,distributed quantum computing(DQC)has emerged as a promising and scalable paradigm.However,in distributed ... To overcome the physical limitations of current quantum hardware in terms of available qubits and connectivity,distributed quantum computing(DQC)has emerged as a promising and scalable paradigm.However,in distributed settings,cross-node qubit interactions incur high communication overhead due to the use of costly quantum communication protocols.Efficient circuit partitioning and transmission cost optimization have thus become key challenges.This work addresses the often-overlooked issues of hardware heterogeneity and redundant transmission by proposing a resource-aware partitioning and transmission cost optimization method for distributed quantum circuits.First,we develop a partitioning framework constrained by qubit resources,which accommodates node capacity differences to enable flexible qubit allocation.Second,we model gate dependencies using a directed acyclic graph(DAG)representation and introduce formal criteria to detect“initial-state”and“final-state”redundancies.A measurement-reset strategy is then employed to replace part of the quantum communication,reducing inter-node data transmission.Experimental results on a variety of benchmark circuits and heterogeneous architectures demonstrate that our method significantly reduces transmission cost and improves overall resource utilization.These findings offer both theoretical insight and practical guidance for efficient distributed quantum computing. 展开更多
关键词 distributed quantum computing quantum circuits circuits partitioning resource-aware
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Multi-target neural circuit reconstruction and enhancement in spinal cord injury 认领 引用 被引量：3
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作者 Lingyun Cao Siyun Chen +2 位作者 Shuping Wang Ya Zheng Dongsheng Xu 《Neural Regeneration Research》 SCIE CAS CSCD 2026年第3期957-971,共15页
After spinal cord injury,impairment of the sensorimotor circuit can lead to dysfunction in the motor,sensory,proprioceptive,and autonomic nervous systems.Functional recovery is often hindered by constraints on the tim... After spinal cord injury,impairment of the sensorimotor circuit can lead to dysfunction in the motor,sensory,proprioceptive,and autonomic nervous systems.Functional recovery is often hindered by constraints on the timing of interventions,combined with the limitations of current methods.To address these challenges,various techniques have been developed to aid in the repair and reconstruction of neural circuits at different stages of injury.Notably,neuromodulation has garnered considerable attention for its potential to enhance nerve regeneration,provide neuroprotection,restore neurons,and regulate the neural reorganization of circuits within the cerebral cortex and corticospinal tract.To improve the effectiveness of these interventions,the implementation of multitarget early interventional neuromodulation strategies,such as electrical and magnetic stimulation,is recommended to enhance functional recovery across different phases of nerve injury.This review concisely outlines the challenges encountered following spinal cord injury,synthesizes existing neurostimulation techniques while emphasizing neuroprotection,repair,and regeneration of impaired connections,and advocates for multi-targeted,task-oriented,and timely interventions. 展开更多
关键词 multi-targets nerve root magnetic stimulation neural circuit neuromodulation peripheral nerve stimulation reconstruction spinal cord injury task-oriented training timing transcranial magnetic stimulation
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Design of readout circuit for pyroelectric infrared detectors based on dual-CTIA structure 认领 引用
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作者 Ye Zhi-Yao Tang Wei-Yi +7 位作者 Zeng Tao Lin Tie Huang Zhang-Cheng Chen Yan Wu Guang-Jian Wang Xu-Dong Shen Hong Wang Jian-Lu 《红外与毫米波学报》 SCIE EI CAS CSCD 北大核心 2026年第3期427-437,共11页
To achieve the detection of extremely weak signals from pyroelectric infrared detectors and to meet the demands of high-sensitivity applications,this paper proposes a dual-capacitor transimpedance amplifier(CTIA)reado... To achieve the detection of extremely weak signals from pyroelectric infrared detectors and to meet the demands of high-sensitivity applications,this paper proposes a dual-capacitor transimpedance amplifier(CTIA)readout structure featuring a variable array size.Additionally,a bandgap reference and a low dropout regulator(LDO)are designed as the bias circuit to provide voltage bias,in order to meet the requirements of low noise,low power consumption,large dynamic range and portability.The circuit is designed in TSMC 0.18μm 1P6M CMOS process under a 3.3V supply.For the layout implementation,advanced techniques,including dummy structures and guard rings,are employed to improve device matching,overall layout symmetry,as well as the noise immunity and electrical stability of the analog circuitry. 展开更多
关键词 pyroelectric readout circuit dual-CTIA variable array size bias circuit
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Plug-and-play digital twin based on multiscale multiphysics reduced-order method for simulation of nuclear reactor primary circuit 认领 引用
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作者 Ya-Hui Wang Ze-Long Zhao +2 位作者 Hong-Hang Chi Zhe-Xian Liu Yu Ma 《Nuclear Science and Techniques》 SCIE EI CAS CSCD 2026年第6期142-158,共17页
Multiscale multiphysics simulation is a key technology for nuclear reactor system design and analysis.However,its application and development are limited by the complexity of cross-scale simulation coupling and long c... Multiscale multiphysics simulation is a key technology for nuclear reactor system design and analysis.However,its application and development are limited by the complexity of cross-scale simulation coupling and long calculation times.To satisfy the real-time simulation requirements of modern reactor digital twins,this study establishes a digital twin of the reactor circuit using multiphysics and multiscale reduced-order methods.This digital twin is based on the plug-and-play approach,and all simulations of the components are replaced by independent 1D and 3D multiphysical reduced-order surrogate models.The complete system circuit can be composed of a combination of these surrogate models,which allows for the easy integration of new components and modification of existing components.A digital twin circuit is established for the test case.The reactor core is described using the 3D neutronicshermal-hydraulics model,whereas the steam generator is described using the 3D CFD model.The other components,including the heat and cold pipes,are described using a 1D reduced-order model.The numerical results show that the digital twin can accurately predict the multiphysics and multiscale behavior of the reactor circuit.The maximum relative error of the tested circuit is not larger than 0.05%,and the simulation time can be reduced to less than 2 ms.The proposed plug-and-play digital twin can be used to develop a new real-time digital twin system that can support reactor system design and analysis. 展开更多
关键词 Plug-and-play Digital twin Multiscale multiphysics Reduced-order Primary circuit
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Insight into SnO2-based gas-sensitive materials and readout circuits for semiconductor gas sensors 认领 引用
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作者 Weiqi Wang Jiamu Cao +3 位作者 Dongbo Wang Rongji Zhang Yufeng Zhang Liancheng Zhao 《Nano Materials Science》 EI CAS CSCD 2026年第4期893-918,共26页
The advent of SnO2materials has significantly revolutionized semiconductor gas sensors.However,their high working temperature,sluggish responseecovery velocities,poor sensitivities,and baseline drift are still esse... The advent of SnO2materials has significantly revolutionized semiconductor gas sensors.However,their high working temperature,sluggish responseecovery velocities,poor sensitivities,and baseline drift are still essentials factor impeding their applications in advanced sensing devices.Owing to the improved receptor,transducer,and utility factor function,constructing heterostructures substantially enhances the gas-sensitive properties of single material.Although many works on SnO2materials have been summarized in some excellent reviews,a comprehensive overview of SnO2materials from the underlying gas-sensitive mechanisms to material design to applications combined with back-end detection circuits is missing.Herein,a comprehensive review is presented on the state-of-art of SnO2-baesed p-n heterostructures and applications of the combination of back-end detection circuits and devices.The microscopic regulation mechanism of p-n heterojunctions on improved gas-sensitive properties is investigated in depth.Some representative composites are discussed,including SnO2composited with metal oxides,two-dimensional materials,and conductive polymers.Additionally,the particular emphasis is given to the detection circuits used in semiconductor gas sensors.Finally,the current challenges are summarized,and perspectives on future opportunities are presented.This work aims to advance the evolution of high-performance sensitive nanomaterials and detection circuits,and render them promising in miniaturized and integrated gas sensors. 展开更多
关键词 Gas sensing Integrated gas sensors Heterostructures Detection circuits Resistance-to-frequency methods
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Design and energy function determination of a memristor-coupled circuit representing a two-dimensional chaotic map 认领 引用
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作者 Feifei YANG Xinlin SONG +1 位作者 Jia HE Huiping YIN 《Journal of Zhejiang University-SCIENCE A》 SCIE EI CAS CSCD 2026年第1期76-86,共11页
The modeling and dynamical analysis of discrete chaotic systems is a vital research field,and various chaotic maps have been developed using mathematical and control-theoretic approaches.However,physical circuit desig... The modeling and dynamical analysis of discrete chaotic systems is a vital research field,and various chaotic maps have been developed using mathematical and control-theoretic approaches.However,physical circuit design of mathematically defined discrete chaotic systems and the computation of their energy functions remain challenging and open problems.In this study,a two-dimensional(2D)chaotic map is constructed using an open-loop modulation coupling method,and its dynamical characteristics are analyzed using bifurcation diagrams.Lyapunov exponents(LEs)and spectral entropy(SE)complexity are also inspected under different parameter configurations.Furthermore,the proposed chaotic map is expressed using two distinct physical memristive circuits:one is composed of a magnetic flux-controlled memristor,a nonlinear resistor,and a capacitor;the other utilizes a charge-controlled memristor,a nonlinear resistor,and an inductor.Moreover,two energy functions are derived from the two memristor-coupled circuits for the proposed chaotic map.The results demonstrate that the mathematical model of the discrete chaotic system can be effectively expressed through these two nonlinear circuits.Our study offers a theoretical foundation and viable methodology for the physical circuit representation of discrete chaotic systems and determination of their energy functions. 展开更多
关键词 Modulation coupling Chaotic map Dynamics analysis Energy function Memristor circuit
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Single-shot wavefront sensing enabled by a photonic integrated circuit 认领 引用
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作者 Wenyu Chen Zixin Zhao +3 位作者 Shiyuan Liu Hui Deng Liang Gao Jinlong Zhu 《Advanced Photonics Nexus》 CSCD 2026年第1期131-139,共9页
Point-of-care diagnostics and inline quantitative phase imaging(QPI)drive the demand for portable,ultra-miniaturized,and robust optical imaging and metrology systems.We propose and demonstrate a wavefront sensor integ... Point-of-care diagnostics and inline quantitative phase imaging(QPI)drive the demand for portable,ultra-miniaturized,and robust optical imaging and metrology systems.We propose and demonstrate a wavefront sensor integrated into a photonic integrated circuit,enabling single-shot optical phase retrieval.We implemented an integrated wavefront sensor array with a spatial resolution of 17μm and a numerical aperture of 0.1.Furthermore,we experimentally demonstrated the reconstruction of wavefronts defined by Zernike polynomials,specifically the first 14 terms(Z1to Z14),achieving an average root mean square error below 0.07.This advancement paves the way for fully integrated,portable,and robust optical imaging systems,facilitating integrated wavefront sensors in demanding applications such as point-of-care diagnostics,endoscopy,in situ QPI,and inline surface profile measurement. 展开更多
关键词 wavefront sensing photonic integrated circuit computational imaging miniaturized optical system
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Reducing agent-enhanced printed circuit board sludge-based Fenton process for the efficient treatment of coking wastewater:Performance,optimization and mechanism 认领 引用
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作者 Fengcheng Jiang Guangyi Zhu +9 位作者 Chuanbing Zhang Baoguo Yang Yichen Zhang Xiao Xu Xixi Feng Fayang Guo Shuguang Zhao Huifang Wang Yahui Xu Mingshi Wang 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2026年第4期332-342,共11页
Coking wastewater(CWW),characterized by complex composition,high toxicity from phenolic compounds(PCs),and recalcitrant chemical oxygen demand(COD),poses significant treatment challenges.This study innovatively repurp... Coking wastewater(CWW),characterized by complex composition,high toxicity from phenolic compounds(PCs),and recalcitrant chemical oxygen demand(COD),poses significant treatment challenges.This study innovatively repurposes printed circuit board sludge(PCBS)as a low-cost heterogeneous catalyst in a Fenton-like advanced oxidation process activated by sodium thiosulfate(STS)for simultaneous removal of PCs and COD.Key parameters(acid-leaching(H2SO4):1.14 mol/L;PCBS dosage:1.34 g/L;STS:0.03 mmol/L;H2O2:79.88 mmol/L)were optimized via Box-Behnken Design response surface methodology.The PCBS/H2O2/STS system exhibited excellent performance in removing PCs and COD from CWW,achieving the model predicts removal efficiencies of 95.51%and 56.32%,respectively,under optimized conditions.Through experimental verification,the experimental removal efficiency of PCs and COD are 95.66%and 57.74%,respectively,with a difference of only 1.42%and 0.15%from the estimated values of the model.The degradation proceeds through a dual-phase mechanism:(1)heterogeneous catalysis on PCBS surfaces,where Fe/Cu species activate H2O2to generate HO•,and(2)homogeneous reactions driven by leached Fe3+/Cu2+ions,which are reduced by STS to Fe2+/Cu+,further reacting with H2O2.Notably,hydroquinone and benzoquinone intermediates act as electron mediators,establishing a self-sustained redox loop that minimizes STS consumption.This‘waste-to-resource’strategy repurposes PCBS as both a catalyst and metal source,while the reduction effect of STS overcomes the limitations of traditional Fenton processes.Overall,the PCBS/H2O2/STS system provides an efficient,sustainable solution for CWW treatment and pollutant degradation. 展开更多
关键词 Fenton-like process Coking wastewater Printed circuit board sludge Phenolic compounds Metal redox cycle Response surface methodology
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Memristive neural network circuit with fault tolerance for character recognition 认领 引用
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作者 Mei Guo Jikang Liu Jingzhi Xu 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第6期325-342,共18页
Memristor-based neural networks are one of the most promising approaches for the hardware implementation of artificial neural networks.In this paper,a memristor-based neural network circuit based on a one-memristor–o... Memristor-based neural networks are one of the most promising approaches for the hardware implementation of artificial neural networks.In this paper,a memristor-based neural network circuit based on a one-memristor–one-resistor(1M1R)synaptic array structure is designed for character recognition.Compared with other memristive synaptic arrays,the 1M1R structure can reduce the number of memristors used.However,memristors may malfunction due to fabrication defects and the influence of external factors,resulting in a decrease in the accuracy of the circuit's character recognition,and a suitable solution needs to be found to improve the stability and durability of the circuit.Therefore,in this paper,a fault-tolerant module with feedback adjustment capability is designed in the memristive neural network circuit that can readjust the weights of the memristors through in-situ training to solve multiple faults in the memristive neural network.The effect of fault tolerance is verified by character recognition.The experimental results show that the designed memristive neural network circuit can accurately realize character recognition,and the designed fault-tolerant circuit can well tolerate multiple faults,ensuring stable operation of the circuit under fault conditions. 展开更多
关键词 memristor neural network circuit character recognition fault-tolerant feedback
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Activity-dependent regulation of cortical cell numbers:Role of neuronal activity in cortical circuit formation 认领 引用
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作者 Fong Kuan Wong 《Neural Regeneration Research》 SCIE CAS CSCD 2026年第8期3521-3522,共2页
The mammalian cerebral cortex,despite its variation in brain shape and size,is a stereotypical six-layered structure composed of pyramidal cells,interneurons,astrocytes,microglia,oligodendrocytes,and endothelial cells... The mammalian cerebral cortex,despite its variation in brain shape and size,is a stereotypical six-layered structure composed of pyramidal cells,interneurons,astrocytes,microglia,oligodendrocytes,and endothelial cells.During development,these cells differ in their origin,birth timing,and developmental trajectories.Nonetheless,they converge during development,forming nascent cortical circuits crucial for organismal behavior.While the relative proportions of cortical cells vary between regions. 展开更多
关键词 neuronal activity mammalian cerebral cortex pyramidal cellsinterneuronsastrocytesmicrogliaoligodendrocytesand cortical cell numbers nascent cortical circuits endothelial cellsduring activity dependent cortical cells
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Neural circuit mechanisms of epilepsy:Maintenance of homeostasis at the cellular,synaptic,and neurotransmitter levels 认领 引用 被引量：2
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作者 Xueqing Du Yi Wang +2 位作者 Xuefeng Wang Xin Tian Wei Jing 《Neural Regeneration Research》 SCIE CAS CSCD 2026年第2期455-465,共11页
Epilepsy,a common neurological disorder,is characterized by recurrent seizures that can lead to cognitive,psychological,and neurobiological consequences.The pathogenesis of epilepsy involves neuronal dysfunction at th... Epilepsy,a common neurological disorder,is characterized by recurrent seizures that can lead to cognitive,psychological,and neurobiological consequences.The pathogenesis of epilepsy involves neuronal dysfunction at the molecular,cellular,and neural circuit levels.Abnormal molecular signaling pathways or dysfunction of specific cell types can lead to epilepsy by disrupting the normal functioning of neural circuits.The continuous emergence of new technologies and the rapid advancement of existing ones have facilitated the discovery and comprehensive understanding of the neural circuit mechanisms underlying epilepsy.Therefore,this review aims to investigate the current understanding of the neural circuit mechanisms in epilepsy based on various technologies,including electroencephalography,magnetic resonance imaging,optogenetics,chemogenetics,deep brain stimulation,and brain-computer interfaces.Additionally,this review discusses these mechanisms from three perspectives:structural,synaptic,and transmitter circuits.The findings reveal that the neural circuit mechanisms of epilepsy encompass information transmission among different structures,interactions within the same structure,and the maintenance of homeostasis at the cellular,synaptic,and neurotransmitter levels.These findings offer new insights for investigating the pathophysiological mechanisms of epilepsy and enhancing its clinical diagnosis and treatment. 展开更多
关键词 chemical genetics hippocampus literature review neural circuits neurotransmitter optogenetics pathogenesis seizure synapses thalamus
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Transplantation of human neural stem cells repairs neural circuits and restores neurological function in the stroke-injured brain 认领 引用 被引量：2
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作者 Peipei Wang Peng Liu +7 位作者 Yingying Ding Guirong Zhang Nan Wang Xiaodong Sun Mingyue Li Mo Li Xinjie Bao Xiaowei Chen 《Neural Regeneration Research》 SCIE CAS CSCD 2026年第3期1162-1171,共10页
Exogenous neural stem cell transplantation has become one of the most promising treatment methods for chronic stroke.Recent studies have shown that most ischemia-reperfusion model rats recover spontaneously after inju... Exogenous neural stem cell transplantation has become one of the most promising treatment methods for chronic stroke.Recent studies have shown that most ischemia-reperfusion model rats recover spontaneously after injury,which limits the ability to observe long-term behavioral recovery.Here,we used a severe stroke rat model with 150 minutes of ischemia,which produced severe behavioral deficiencies that persisted at 12 weeks,to study the therapeutic effect of neural stem cells on neural restoration in chronic stroke.Our study showed that stroke model rats treated with human neural stem cells had long-term sustained recovery of motor function,reduced infarction volume,long-term human neural stem cell survival,and improved local inflammatory environment and angiogenesis.We also demonstrated that transplanted human neural stem cells differentiated into mature neurons in vivo,formed stable functional synaptic connections with host neurons,and exhibited the electrophysiological properties of functional mature neurons,indicating that they replaced the damaged host neurons.The findings showed that human fetal-derived neural stem cells had long-term effects for neurological recovery in a model of severe stroke,which suggests that human neural stem cells-based therapy may be effective for repairing damaged neural circuits in stroke patients. 展开更多
关键词 behavioral recovery circuit repair electrophysiological properties functional integration human neural stem cell transplantation infarction volume stroke synaptic tracing
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A quantum lattice Boltzmann method for solving the Navier-Stokes systems with a linearized non-equilibrium collision operator and modular circuit 认领 引用 被引量：2
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作者 Kang-Yang Zeng Zhao-Dong Wei +3 位作者 Xiao-Dong Niu Adnan Khan De-Cai Li Hiroshi Yamaguchi 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2026年第6期110-119,共10页
This paper introduces a quantum lattice Boltzmann method for simulating complex flows.The proposed quantum scheme effectively overcomes the mismatch between the nonlinear collision in the standard lattice Boltzmann me... This paper introduces a quantum lattice Boltzmann method for simulating complex flows.The proposed quantum scheme effectively overcomes the mismatch between the nonlinear collision in the standard lattice Boltzmann method(LBM)and the linear quantum computing(QC)through a linearized non-equilibrium collision operator,and is successfully extended to the Navier-Stokes systems by designing a modular circuit for density and velocity calculations.Most importantly,the present approach ensures the unitary of quantum algorithms while keeping the collision relaxation parameter adjustable for simulating flows with different Reynolds numbers.The accuracy and practicality of the proposed method are demonstrated by simulating two typical flows,including lid-driven and natural convection flows in a square cavity at different Reynolds and Rayleigh numbers,respectively.This work offers a practical application of QC-based LBM for complex fluid dynamics problems. 展开更多
关键词 Lattice Boltzmann method Quantum computing Modular circuits
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Echolocation-inspired memristive behavioral decision circuit 认领 引用
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作者 Yueqi Song Xiaozhou He +4 位作者 Xianying Xu Yinghong Cao Santo Banerjee Suo Gao Jun Mou 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第6期314-324,共11页
Memristive circuits have been widely employed to emulate various neural behavioral mechanisms.However,most existing works remain focused on isolated learning processes and have not yet established behavioral systems c... Memristive circuits have been widely employed to emulate various neural behavioral mechanisms.However,most existing works remain focused on isolated learning processes and have not yet established behavioral systems capable of adapting to changing stimuli,transitioning across perceptual states,and preserving behavioral continuity.To address these limitations,an echolocation-inspired memristive behavioral decision circuit is proposed in this work.The framework is organized into four functional modules—Stimulus,Action,Decision-making,and Memory—which operate cooperatively to enable behavioral generation that transitions from stimulus-driven responses to experience-driven execution across different conditions.Under strong stimulus conditions,behavior is directly elicited by external sensory input;under weak stimulus conditions,decision reliability is maintained through internal regulation;and under no-stimulus conditions,behavioral continuity is preserved through experience-based bias and memory replay.PSPICE simulations verify that the circuit maintains stable decision outputs and functional continuity across all conditions,demonstrating its effectiveness for biologically inspired and adaptive decision-making in neuromorphic systems. 展开更多
关键词 echolocation volatile memristor memristive circuit decision-making module
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Spiking activity in a meminductive and memristive emulator-based bionic circuit 认领 引用
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作者 Chenyu Zhang Weiwei Fan +4 位作者 Huagan Wu Ning Wang Mo Chen Yibing Wang Quan Xu 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第6期439-448,共10页
Bionic circuits can reproduce the firing activities of excitable biological neurons,which are the potential hardware foundation for artificial intelligent applications.This paper builds a meminductive and memristive e... Bionic circuits can reproduce the firing activities of excitable biological neurons,which are the potential hardware foundation for artificial intelligent applications.This paper builds a meminductive and memristive emulator-based bionic circuit by referring to the electrophysiological microstructure of the lipid bilayer membrane of a biological neuron,within which an S-type memristor and a flux-controlled meminductor are employed to characterize the ion channels and their internal electromagnetic induction,respectively.The schematic of the bionic circuit only involves a capacitor,a memristor,a meminductor,and an external direct current(DC)source.Numerical simulations demonstrate that the bionic circuit can generate abundant chaotic and periodic spiking activities for the external stimulus,memristor-,and meminductor-related parameters.Moreover,a printed circuit board(PCB)-based hardware circuit is manually fabricated,upon which experimental measurements are performed to verify the chaotic and periodic spiking activities.This exploration demonstrates the feasibility of the bionic circuit in generating spiking activities and provides a hardware foundation for spike-based applications. 展开更多
关键词 spiking activity meminductive emulator memristive emulator bionic circuit
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The Dorsal CA2 to Ventral CA1 Circuit Contributes to Spatial and Context-Dependent Memories 认领 引用
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作者 Ning Li Bingqing Zhao +6 位作者 Xiaowen Shen Hua He Jianxiang Zhou Jing Zhang Lin Xu Xiaochun Chen Chun Xu 《Neuroscience Bulletin》 SCIE CAS CSCD 2026年第6期1235-1247,共13页
The hippocampal dorsal CA2 subregion(dCA2)is critical for social memory;however,its contribution to other types of hippocampus-dependent memories is not well understood.Here,we performed dCA2-specific circuit tracing,... The hippocampal dorsal CA2 subregion(dCA2)is critical for social memory;however,its contribution to other types of hippocampus-dependent memories is not well understood.Here,we performed dCA2-specific circuit tracing,single-neuron projectome analysis,photometric Ca2+imaging,and optogenetic manipulations to study the physiological roles of dCA2 neurons and their axon projections in behavioral paradigms for novel object recognition,novel location recognition,and contextual fear memory.We found that dCA2 neurons sent their strongest axon projections to the dorsal portion of ventral CA1(vCA1d)and showed object and location-specific Ca2+responses.Notably,the dCA2-vCA1d projection contributed to the memory formation of object location but not identity.Furthermore,optogenetic inhibition of the dCA2-vCA1d axon terminals reduced fear responses to foot shocks and impaired contextual memory formation.Collectively,our study reveals critical roles of the dCA2-vCA1d circuit in spatial and context-dependent memories,providing new insights into the function of CA2 neurons. 展开更多
关键词 Spatial memory Contextual memory Hippocampus CA2 Longitudinal circuit Single-neuron projectome Fiber photometry Optogenetics
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CktGen:Automated Analog Circuit Design with Generative Artificial Intelligence 认领 引用
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作者 Yuxuan Hou Hehe Fan +6 位作者 Jianrong Zhang Yue Zhang Hua Chen Min Zhou Faxin Yu Roger Zimmermann Yi Yang 《Engineering》 SCIE EI CSCD 2026年第7期214-228,共15页
The automatic synthesis of analog circuits presents significant challenges. Most existing approaches formulate the problem as a single-objective optimization task, overlooking the fact that design specifications for a... The automatic synthesis of analog circuits presents significant challenges. Most existing approaches formulate the problem as a single-objective optimization task, overlooking the fact that design specifications for a given circuit type can vary widely across applications. To address this limitation, we introduce specification-conditioned analog circuit generation, a task that directly generates analog circuits based on stated specifications. The motivation is to find an effective method that leverages existing well-designed circuits to improve automation in analog circuit design. Specifically, we propose CktGen, a simple yet effective variational autoencoder model that maps discretized specifications and circuits into a joint latent space and reconstructs the circuit from that latent vector. Notably, as a single specification may correspond to multiple valid circuits, naively fusing the specification information into a generative model does not capture these one-to-many relationships. To address this, we first decouple the encoding process of circuits and specifications and align their mapped joint latent space. Then, we employ contrastive training with a filter mask to maximize differences between encoded circuits and specifications. Furthermore, classifier guidance along with latent feature alignment promotes the clustering of circuits sharing the same specification, thus avoiding model collapse into trivial one-to-one mappings. By canonicalizing the latent space with respect to the specifications, we can further optimize and search for an optimal circuit that satisfies the valid target specification. We conduct comprehensive experiments on the open circuit benchmark and introduce several metrics to evaluate cross-model consistency in the specification-conditioned circuit generation task. The experimental results demonstrate that CktGen achieves substantial improvements over existing state-of-the-art methods. 展开更多
关键词 Artificial intelligence Electronic design automation Circuit generator Test-time optimization
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