Results 211 to 220 of about 22,581 (258)

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

Advanced Electronic Materials, EarlyView.
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels, Duna Wattad, Ronny Ronen, David Saad, Shahar Kvatinsky   +4 more
wiley   +1 more source

TDE-3: an improved prior for optical flow computation in spiking neural networks. [PDF]

Front Neurosci
Yedutenko M, Paredes-Vallés F, Khacef L, de Croon G.   +3 more
europepmc   +1 more source

Logic Functionality and Circuit Design of In2Se3‐Based Split‐Gate Ferroelectric Field‐Effect Transistor for Zero‐Trust Applications

Advanced Electronic Materials, EarlyView.
ABSTRACT Van der Waals ferroelectric materials are emerging as key building blocks for future logic devices and integrated circuits. Among them, α‐In2Se3 offers a unique combination of robust room temperature ferroelectricity and semiconducting behavior.
Ankita Ram, Cédric Marchand, Shehr Bano Masood, Aymen Mahmoudi, Takashi Taniguchi, Kenji Watanabe, Bernard Doudin, Abdelkarim Ouerghi, Ian O'Connor, Alexei Gruverman, Jean‐François Dayen   +10 more
wiley   +1 more source

A comparative review of deep and spiking neural networks for edge AI neuromorphic circuits. [PDF]

Front Neurosci
M Ferreira P, Wang S, Gao Y, Benlarbi-Delai A.   +3 more
europepmc   +1 more source

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

Advanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj, Ashfak Nehal, Dmitrii Semenov, Roman Sotner, Sayani Majumdar   +4 more
wiley   +1 more source

Efficient and robust temporal processing with neural oscillations modulated spiking neural networks. [PDF]

Nat Commun
Yan Y, Yang Q, Wu Y, Liu H, Zhang M, Li H, Tan KC, Wu J.   +7 more
europepmc   +1 more source

Ion‐Gating Reservoir Computing for Preprocessing‐Free Speech Recognition from Throat Vibrations

Advanced Electronic Materials, EarlyView.
This work presents a throat‐mounted mechanoelectric sensor integrated with an ion‐gel/graphene reservoir device for on‐device speech recognition. The system converts raw biomechanical vibrations into rich nonlinear current dynamics, enabling efficient classification through a simple linear readout. The approach highlights a compact and tunable physical‐
Daiki Nishioka, Akito Tateyama, Hina Kitano, Takashi Nakanishi, Kazuya Terabe, Takashi Tsuchiya   +5 more
wiley   +1 more source

Review of deep learning models with Spiking Neural Networks for modeling and analysis of multimodal neuroimaging data. [PDF]

Front Neurosci
Khan A, Shim V, Fernandez J, Kasabov NK, Wang A.   +4 more
europepmc   +1 more source

Temporal single spike coding for effective transfer learning in spiking neural networks. [PDF]

Sci Rep
Moqadasi H, Safari S, Mateo F.
europepmc   +1 more source

Unsupervised post-training learning in spiking neural networks. [PDF]

Sci Rep
Naderi R, Rezaei A, Amiri M, Peremans H.
europepmc   +1 more source