Results 121 to 130 of about 76,325 (312)

Spiking Neural Models of Neurons and Networks for Perception, Learning, Cognition, and Navigation: A Review

Brain Sciences
This article reviews and synthesizes highlights of the history of neural models of rate-based and spiking neural networks. It explains that theoretical and experimental results about how all rate-based neural network models, whose cells obey the membrane
Stephen Grossberg
doaj   +1 more source

Thermally Drawn Multifunctional All‐Hydrogel Fibers for Anti‐Fibrotic and Multimodal Neural Interfaces

Advanced Materials, EarlyView.
Hydrogels demonstrate material properties that mimic the mechanical and chemical environments of biological tissues. Yet, they face challenges during their integration into 3D interfaces. By identifying a class of thermoplastic hydrogels, a strategy is developed to pattern hydrogels in thermally drawn fibers.
Changhoon Sung, Kum Seok Nam, Yeji Kim, Honey Kang, Kanghyeon Kim, Chanwoong Yoon, Somin Lee, Ain Chung, Jiheong Kang, Young‐Gyun Park, Alan Jung Park, Haider Butt, Hyunwoo Yuk, Seongjun Park   +13 more
wiley   +1 more source

Excited State Opto‐Ionic Reservoir Computing in Hybrid Perovskite Electrochemically‐Gated Luminescent Cells

Advanced Materials, EarlyView.
A neuromorphic computing system exploiting opto‐ionic modulation in lead halide perovskite microcrystals demonstrates high‐dimensional reservoir dynamics with diffraction‐limited node resolution. Leveraging ultrafast excited‐state interactions, it achieves efficient computation (800 pJ/node‐operation), robustly distinguishing 4‐bit pulse sequences ...
Philipp Kollenz, Carina Herrle, Leonard Göhringer, Nasrin Solhtalab, Tom Wickenhäuser, Wolfram Pernice, Rüdiger Klingeler, Felix Deschler   +7 more
wiley   +1 more source

Directly-trained Spiking Neural Networks for Deep Reinforcement Learning: Energy efficient implementation of event-based obstacle avoidance on a neuromorphic accelerator

, 2023
Luca Zanatta, Alfio Di Mauro, Francesco Barchi, Andrea Bartolini, Luca Benini, Andrea Acquaviva   +5 more
openalex   +2 more sources

A fault segment location method for distribution networks based on spiking neural P systems and Bayesian estimation [PDF]

, 2023
Yi Wang, Tao Wang, Liyuan Liu
openalex   +1 more source

Peptide‐Induced Ferroelectricity in Charge‐Transfer Supramolecular Materials

Advanced Materials, EarlyView.
Bio‐inspired supramolecular charge‐transfer amphiphiles self‐assemble into nanoribbons in water, where peptide chirality‐induced symmetry breaking generates robust ferroelectricity across multiple systems. These water‐processable organic ferroelectrics also enhance neuronal outgrowth and electrophysiological maturity, offering a versatile strategy for ...
James V. Passarelli, Yang Yang, Cara S. Smith, Jing Hao, Dhwanit R. Dave, Ashwin Narayanan, Zaida Álvarez, Broderick K. Johnson, Kelly A. Marshall, Ivan Fithian, Hiroaki Sai, Ruomeng Qiu, Charlotte L. Stern, Liam C. Palmer, Evangelos Kiskinis, Samuel I. Stupp   +15 more
wiley   +1 more source

Convolutional and Spiking Neural Network Models for Crop Yield Forecasting [PDF]

, 2021
G. Karuna, K. Pravallika, K. Anuradha, V. Srilakshmi   +3 more
openalex   +1 more source

Active Learning‐Guided Accelerated Discovery of Ultra‐Efficient High‐Entropy Thermoelectrics

Advanced Materials, EarlyView.
An active learning framework is introduced for the accelerated discovery of high‐entropy chalcogenides with superior thermoelectric performance. Only 80 targeted syntheses, selected from 16206 possible combinations, led to three high‐performance compositions, demonstrating the remarkable efficiency of data‐driven guidance in experimental materials ...
Hanhwi Jang, Wooseok Lee, Hwa‐Jung Kim, Sohyang Cha, Hosun Shin, Won Bo Lee, Min‐Wook Oh, Yeon Sik Jung, YongJoo Kim   +8 more
wiley   +1 more source

Alleviating the Communication Bottleneck in Neuromorphic Computing with Custom-Designed Spiking Neural Networks

Journal of Low Power Electronics and Applications
For most, if not all, AI-accelerated hardware, communication with the agent is expensive and heavily bottlenecks the hardware performance. This omnipresent hardware restriction is also found in neuromorphic computing: a novel style of computing that ...
James S. Plank, Charles P. Rizzo, Bryson Gullett, Keegan E. M. Dent, Catherine D. Schuman   +4 more
doaj   +1 more source

Meta-SpikePropamine: learning to learn with synaptic plasticity in spiking neural networks [PDF]

, 2023
Samuel Schmidgall, Joe Hays
openalex   +1 more source