Maximizing information in neuron populations for neuromorphic spike encoding by Ahmad El Ferdaoussi, Eric Plourde, Jean Rouat

“…Neuromorphic Computing and Engineering…”
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Noise-resilient designs and analysis for optical neural networks by Gianluca Kosmella, Ripalta Stabile, Jaron Sanders

“…Neuromorphic Computing and Engineering…”
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Loss shaping enhances exact gradient learning with Eventprop in spiking neural networks by Thomas Nowotny, James P Turner, James C Knight

“…Neuromorphic Computing and Engineering…”
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Towards neuromorphic compression based neural sensing for next-generation wireless implantable brain machine interface by Vivek Mohan, Wee Peng Tay, Arindam Basu

“…Neuromorphic Computing and Engineering…”
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Neuromorphic compliant control facilitates human-prosthetic performance for hand grasp functions by Anran Xie, Zhuozhi Zhang, Jie Zhang, Weidong Chen, James Patton, Ning Lan

“…Neuromorphic Computing and Engineering…”
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Distributed representations enable robust multi-timescale symbolic computation in neuromorphic hardware by Madison Cotteret, Hugh Greatorex, Alpha Renner, Junren Chen, Emre Neftci, Huaqiang Wu, Giacomo Indiveri, Martin Ziegler, Elisabetta Chicca

“…Neuromorphic Computing and Engineering…”
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Scalable network emulation on analog neuromorphic hardware by Elias Arnold, Philipp Spilger, Jan V. Straub, Eric Müller, Dominik Dold, Gabriele Meoni, Johannes Schemmel

“…The ability to emulate and train networks larger than the substrate provides a pathway for accurate performance evaluation in planned or scaled systems, ultimately advancing the development and understanding of large-scale models and neuromorphic computing architectures.…”
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Chemically Engineered GaN Thin Films for Light‐Stimulated Artificial Synapses by Xiaoqin Yang, Jiawen Lu, Luyu Zhao, Xiaorui Han, Zhongwei Bai, Peiwen Quan, Liangshuai Xie, Liang Li, Haoxuan Sun, Mark Hermann Rummeli, Bingcheng Luo, Hong Gu

“…Brain‐inspired neuromorphic computing presents an opportunity to overcome the inherent limitations of conventional computers. …”
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Ultra robust negative differential resistance memristor for hardware neuron circuit implementation by Yifei Pei, Biao Yang, Xumeng Zhang, Hui He, Yong Sun, Jianhui Zhao, Pei Chen, Zhanfeng Wang, Niefeng Sun, Shixiong Liang, Guodong Gu, Qi Liu, Shushen Li, Xiaobing Yan

“…Abstract Neuromorphic computing holds immense promise for developing highly efficient computational approaches. …”
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A Virtual Fabrication and High-Performance Design of 65 nm Nanocrystal Floating-Gate Transistor by Thinh Dang Cong, Trang Hoang

“…Floating-gate transistor lies at the heart of many aspects of semiconductor applications such as neural networks, analog mixed-signal, neuromorphic computing, and especially in nonvolatile memories. …”
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Reconfigurable scattering by liquid crystal–polymer composite by Duan-Yi Guo, Yan-Ting Liu, Chen-Wei Tu, Iam Choon Khoo, Tsung-Hsien Lin

“…These findings underscore the potential of LCPCs as a promising platform for reconfiguring scattering, offering new possibilities in adaptive optics, neuromorphic computing, and imaging-related applications.…”
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Dual-role ion dynamics in ferroionic CuInP2S6: revealing the transition from ferroelectric to ionic switching mechanisms by Xingan Jiang, Xiangping Zhang, Zunyi Deng, Jianming Deng, Xiaolei Wang, Xueyun Wang, Weiyou Yang

“…This work deepens the understanding of ion migration dynamics and conductive switching in ferroionic systems, which is critical for the advancement of memristor-based neuromorphic computing.…”
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The Impact of Non‐Monolithic Semiconductor Capacitance on Organic Electrochemical Transistors Performance and Design by Ned E. Dreamer, Dimitrios A. Koutsouras, Morteza Hassanpour Amiri, Paschalis Gkoupidenis, Kamal Asadi

“…The success of the model in accurately describing and providing predictions of the OECT operation by relating the device's geometrical parameters with electrochemical parameters of the semiconductor layer paves the way toward unlocking OECT potentials in diverse applications, from biosensing to neuromorphic computing and flexible electronics.…”
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Principled neuromorphic reservoir computing by Denis Kleyko, Christopher J. Kymn, Anthony Thomas, Bruno A. Olshausen, Friedrich T. Sommer, E. Paxon Frady

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Analog Sequential Hippocampal Memory Model for Trajectory Learning and Recalling: A Robustness Analysis Overview by Daniel Casanueva‐Morato, Alvaro Ayuso‐Martinez, Giacomo Indiveri, Juan P. Dominguez‐Morales, Gabriel Jimenez‐Moreno

“…Neuromorphic engineering has emerged as a solution that attempts to mimic the brain to incorporate its capabilities to solve complex problems in a computationally and energy‐efficient way in real time. Within neuromorphic computing, building systems to efficiently store the information is still a challenge. …”
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Self-Organizing Mapping Neural Network Implementation Based on 3-D NAND Flash for Competitive Learning by Anyi Zhu, Lei Jin, Wen Zhou, Tianchun Ye, Zongliang Huo

“…It is experimentally demonstrated that the differential pair in 3D NAND flash array possesses superior characteristics for neuromorphic computing during increasing and decreasing synaptic weight. …”
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Probing and manipulating the Mexican hat-shaped valence band of In2Se3 by James Felton, Jordan Harknett, Joe Page, Zhuo Yang, Nada Alghofaili, James N. O’Shea, Laurence Eaves, Yoshimitsu Kohama, Mark T. Greenaway, Amalia Patanè

“…Abstract Ferroelectrics based on van der Waals semiconductors represent an emergent class of materials for disruptive technologies ranging from neuromorphic computing to low-power electronics. However, many theoretical predictions of their electronic properties have yet to be confirmed experimentally and exploited. …”
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Multi-gate neuron-like transistors based on ensembles of aligned nanowires on flexible substrates by João Neto, Abhishek Singh Dahiya, Ravinder Dahiya

“…Abstract The intriguing way the receptors in biological skin encode the tactile data has inspired the development of electronic skins (e-skin) with brain-inspired or neuromorphic computing. Starting with local (near sensor) data processing, there is an inherent mechanism in play that helps to scale down the data. …”
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Giant memory window performance and low power consumption of hexagonal boron nitride monolayer atomristor by Sung Jin Yang, Yu-Rim Jeon, Dongyoon Kim, Sivasakthya Mohan, Shanmukh Kutagulla, Matthew Disiena, Sanjay K. Banerjee, Deji Akinwande

“…These results represent a significant step toward the realization of high-performance and energy-efficient neuromorphic computing circuits based on 2D monolayers.…”
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Identifying and understanding the nonlinear behavior of memristive devices by Sahitya Yarragolla, Torben Hemke, Fares Jalled, Tobias Gergs, Jan Trieschmann, Tolga Arul, Thomas Mussenbrock

“…Abstract Nonlinearity is a crucial characteristic for implementing hardware security primitives or neuromorphic computing systems. The main feature of all memristive devices is this nonlinear behavior observed in their current-voltage characteristics. …”
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