Results 221 to 230 of about 3,555,912 (299)

Spiking neural networks

, 2018
In this thesis, spiking neural networks are studied in two contexts -- one in a functional role where the network is trained with reinforcement learning, and second in a descriptive context studying the emergent self-organised criticality (SOC) property of the network.
openaire   +1 more source

Targeting the KCNC3‐Dependent Anterior Insular‐Lateral Orbitofrontal Cortex Glutamatergic Circuit Attenuates Post‐Traumatic Anxiety

Advanced Science, EarlyView.
Frontal lobe traumatic brain injury is associated with hyperactivity of an insular–orbitofrontal circuit in both patients and mice. By combination of integrating functional imaging, cell‐type–specific circuit manipulation, single‐cell transcriptomics, and whole‐cell recordings, this work identifies the downregulation of the potassium channel KCNC3 in ...
Meng‐Ge Li, Xiao‐Bo Qian, Hai‐Long Zhang, Di Li, Ling Ji, Xin‐Chun Xu, Jia‐Sheng Ding, Li‐Jun Yin, Li Zhang, Guang‐Yin Xu, Rong Gao   +10 more
wiley   +1 more source

Portfolio Optimization: A Neurodynamic Approach Based on Spiking Neural Networks. [PDF]

Biomimetics (Basel)
Khan AH, Mohammed AM, Li S.
europepmc   +1 more source

Review of Gastrointestinal Capsule Robots: Materials, Actuation, Diagnostics, and Therapeutics

Advanced Science, EarlyView.
This review examines gastrointestinal capsule robots through a systems engineering lens, covering shell materials, actuation and localization strategies, diagnostic modalities, therapeutic interventions, and commercialization status. By mapping the complete technological chain from fabrication to clinical deployment, this work identifies critical gaps ...
Zengsheng Li, Zhongguo Ren, Yiliang Lin, Xianfeng Xia, Tianlong Li, Kai Fung Chan, Philip Wai Yan Chiu, Wei Peng Yong, Mengmeng Sun   +8 more
wiley   +1 more source

Systematic Evaluation of Biologically Inspired Motion Detection Models: From LGMD and EMD to Hybrid Spiking Neural Networks. [PDF]

Biomimetics (Basel)
Ndiangang V, Liu P.
europepmc   +1 more source

CLRe: A Synergistic Dual‐Engine Framework for One‐Step Retrosynthesis Prediction

Advanced Science, EarlyView.
CLRe uses a contrastive difficulty score to order pretrained seq2seq fine‐tuning for retrosynthesis. Reaction embeddings define the ranking score, and a cumulative easy‐to‐hard schedule expands from the easiest subset to the full training set while earlier examples remain active.
Tianhao Su, Xitao Wang, Musen Li, Guanhua Qin, Shunbo Hu, Tong‐Yi Zhang   +5 more
wiley   +1 more source

Enhancing time scalability of spiking neural networks with dynamic time constants. [PDF]

Sci Rep
Hirano T, Kutsuzawa K, Owaki D, Hayashibe M.   +3 more
europepmc   +1 more source

Magnetoelectric Nanoparticles Enable Modulation of Cortical Networks by Low‐Intensity Static Magnetic Fields In Vitro

Advanced Science, EarlyView.
Neuromodulation strategies are increasingly needed to stimulate, restore, or replace altered neuronal activity in disease. Cobalt ferrite‐barium titanate (CFO–BTO) magnetoelectric nanoparticles convert low‐intensity static magnetic fields into local electrical modulation of cortical networks.
Nathalia Cancino‐Fuentes, Alejandro Suarez‐Perez, Elric Zhang, Hao Ye, Marta Bonato, Joana Covelo, Vitaly Pustovalov, Anton Guimera‐Brunet, Xavi Illa, Valentin Gantenbein, Cagatay M. Oral, Marta Parazzini, Salvador Pané, Maria V. Sanchez‐Vives   +13 more
wiley   +1 more source

Gestational Hypoxia Disrupts Medial Ganglionic Eminence Progenitor Dynamics and Interneuron Development in Schizophrenia

Advanced Science, EarlyView.
FES‐derived MGE spheroids exhibit progenitor‐stage alterations in developmental trajectory and hypoxia‐responsive transcriptional programs, followed by functional disruption. Gestational hypoxia recapitulates impaired progenitor proliferation, shortened cell‐cycle progression, interneuron developmental abnormalities, and schizophrenia‐like behaviors in
Peiyan Ni, Qiancheng Zhang, Youhui Jiang, Huiying Yao, Chuqing Zhou, Xiaoyi Tian, Shiyingnan Gao, Jun Zhao, Xinyi Ren, Naxin Xu, Mengshan Fu, Liansheng Zhao, Xueyu Qi, Xueli Yu, Wanjun Guo, Sangmi Chung, Fan Guo, Tao Li   +17 more
wiley   +1 more source

A highly energy-efficient multi-core neuromorphic architecture for training deep spiking neural networks. [PDF]

Nat Commun
Li M, Zhou H, Xu X, Zhong Z, Quan P, Zhu X, Lin Y, Lin W, Li X, Wang D, Zhang J, Ma Y, Cui X, Wang W, Meng Q, Ma Z, Li G, Cui X, Tian Y.   +18 more
europepmc   +1 more source