Results 271 to 280 of about 68,095 (317)

Spiking Neural Networks for Multimodal Neuroimaging: A Comprehensive Review of Current Trends and the NeuCube Brain-Inspired Architecture. [PDF]

Bioengineering (Basel)
Garcia-Palencia O, Fernandez J, Shim V, Kasabov NK, Wang A, The Alzheimer's Disease Neuroimaging Initiative.   +5 more
europepmc   +1 more source

All Organic Fully Integrated Neuromorphic Crossbar Array

Advanced Electronic Materials, EarlyView.
In this work, the first fully integrated crossbar array of electrochemical random‐access memory (ECRAM) that is composed entirely of organic materials is represented. This array can perform inference and in situ parallel training and is capable of classifying linearly separable 2D and 3D classification tasks with high accuracy.
Setareh Kazemzadeh, Tim Stevens, Yoeri van de Burgt   +2 more
wiley   +1 more source

Learning long sequences in spiking neural networks. [PDF]

Sci Rep
Stan MI, Rhodes O.
europepmc   +1 more source

Learning, Inference, and Replay of Hidden State Sequences in Recurrent Spiking Neural Networks

, 2014
Dane Corneil, Emre Neftci, Giacomo Indiveri, Michael Pfeiffer   +3 more
openalex   +1 more source

Neural Information Processing and Time‐Series Prediction with Only Two Dynamical Memristors

Advanced Electronic Materials, EarlyView.
The present study demonstrates how simple circuits with only two memristive devices are utilized to perform high complexity temporal information processing tasks, like neural spike detection in noisy environment, or time‐series prediction. This circuit simplicity is enabled by the dynamical complexity of the memristive devices, i.e.
Dániel Molnár, Tímea Nóra Török, János Volk, Roland Kövecs, László Pósa, Péter Balázs, György Molnár, Nadia Jimenez Olalla, Zoltán Balogh, János Volk, Juerg Leuthold, Miklós Csontos, András Halbritter   +12 more
wiley   +1 more source

Exploring spiking neural networks for deep reinforcement learning in robotic tasks. [PDF]

Sci Rep
Zanatta L, Barchi F, Manoni S, Tolu S, Bartolini A, Acquaviva A.   +5 more
europepmc   +1 more source

A framework for the integration of the Emotiv EEG System into the NeuCube spiking neural network environment for robotics control

, 2014
Jianfei Wang
openalex   +1 more source

Neuromorphic Motor Control with Electrolyte‐Gated Organic Synaptic Transistors

Advanced Electronic Materials, EarlyView.
Electrolyte‐gated organic synaptic transistor (EGOST)‐based neuromorphic motor control systems integrate sensing, processing, and actuation by mimicking biological synapses. With advantages such as low power consumption, tunable synaptic plasticity, and mechanical flexibility, they are emerging as next‐generation core technologies for real‐time ...
Sung‐Hwan Kim, Ju‐Hyeok Yun, Hea‐Lim Park, Sin‐Hyung Lee   +3 more
wiley   +1 more source

Sensitivity of Spiking Neural Networks Due to Input Perturbation. [PDF]

Brain Sci
Zhu H, Zeng X, Zou Y, Zhou J.
europepmc   +1 more source

Ethical and Frugal Approaches to Animal Experimentation in Bioelectronics and Neural Engineering—An Invertebrate Renaissance?

Advanced Electronic Materials, EarlyView.
Invertebrates are the classic neuroscience models and should make a comeback. Invertebrate organisms can be a more ethical and cost‐effective way to move bioelectronics research forward more rapidly. ABSTRACT The accelerating development of bioelectronic neural interfaces has brought increased attention to ethical considerations surrounding in vivo ...
Eric Daniel Głowacki
wiley   +1 more source