The Advances in Neuromorphic Computing and Brain-Inspired Systems (ANCBIS). by DanielRaj K, Ponseka G, Bharath Sanjai Lordwin D J3

“… Neuromorphic computing, inspired by the structure and functions of the human brain, is transforming the development of energy-efficient, adaptive, and highly parallel processing systems. …”
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Integrating molecular photoswitch memory with nanoscale optoelectronics for neuromorphic computing by David Alcer, Nelia Zaiats, Thomas K. Jensen, Abbey M. Philip, Evripidis Gkanias, Nils Ceberg, Abhijit Das, Vidar Flodgren, Stanley Heinze, Magnus T. Borgström, Barbara Webb, Bo W. Laursen, Anders Mikkelsen

“…Abstract Photonic solutions are potentially highly competitive for energy-efficient neuromorphic computing. However, a combination of specialized nanostructures is needed to implement all neuro-biological functionality. …”
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Recent Developments on Novel 2D Materials for Emerging Neuromorphic Computing Devices by Muhammad Hamza Pervez, Ehsan Elahi, Muhammad Asghar Khan, Muhammad Nasim, Muhammad Asim, Arslan Rehmat, Malik Abdul Rehman, Mohammed A. Assiri, Shania Rehman, Jonghwa Eom, Muhammad Farooq Khan

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Optimization of Leaky Integrate-and-Fire Neuron Circuits Based on Nanoporous Graphene Memristors by Kannan Udaya Mohanan, Seyed Mehdi Sattari-Esfahlan, Eou-Sik Cho, Chang-Hyun Kim

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Unsupervised Learning in a Ternary SNN Using STDP by Abhinav Gupta, Sneh Saurabh

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The Risks and Rewards of Embodying Artificial Intelligence with Cloud‐Based Laboratories by Nicolas Rouleau, Nirosha J. Murugan

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Multilayer magnetic skyrmion devices for spiking neural networks by Aijaz H Lone, Daniel N Rahimi, Hossein Fariborzi, Gianluca Setti

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Analysis and Design of FeFET Synapse With Stacked-Nanosheet Architecture Considering Cycle-to-Cycle Variations for Neuromorphic Applications by Heng Li Lin, Pin Su

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Slax: a composable JAX library for rapid and flexible prototyping of spiking neural networks by Thomas M Summe, Siddharth Joshi

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Model-agnostic neural mean field with a data-driven transfer function by Alex Spaeth, David Haussler, Mircea Teodorescu

“…Neuromorphic Computing and Engineering…”
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An integrated toolbox for creating neuromorphic edge applications by Lars Niedermeier, Nikil Dutt, Jeffrey L Krichmar

“…Neuromorphic Computing and Engineering…”
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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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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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