Results 201 to 210 of about 68,095 (317)

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

Unraveling the Morphological and Functional Maturation Mechanisms Underlying Human Neural Development Using iPSCs‐Derived Neuronal Model

Advanced Science, EarlyView.
Using human induced pluripotent stem cells (hiPSCs)‐derived neuronal model, Tian and colleagues reveal that voltage‐gated calcium channels Cav1.2 and Cav1.3, and their mediated calcium ion influx, are essential for early morphogenesis of human neuronal development, while ECEL1 underlies human neuronal functional developmental maturation through CALM3 ...
Yue Tian, Yi‐Chun Ou, Zi‐Xian Zhang, Jie Cai, Si‐Qing Cai, Guo‐Gang Xing   +5 more
wiley   +1 more source

Learning and Real-time Classification of Hand-written Digits With\n Spiking Neural Networks [PDF]

, 2017
Shruti Kulkarni, John M. Alexiades, Bipin Rajendran   +2 more
openalex   +1 more source

PEDOT:PSS—A Key Material for Bioelectronics

Advanced Science, EarlyView.
PEDOT:PSS ‐ Poly(3,4‐ethylenedioxythiophene) polystyrene sulfonate ‐ is typically processed from water dispersions to form multifunctional and multidimensional constructs with tunable electronic and ionic conductivity. Throught processing engineering, PEDOT:PSS is intergrated in bioelectronic devices that operate efficiently in physiological conditions
Alan Eduardo Ávila Ramírez, David Pieter van der Laan, Mustafeez Bashir Shah, Liwen Wang, Erica Zeglio, Achilleas Savva   +5 more
wiley   +1 more source

Biologically-inspired training of spiking recurrent neural networks with neuromorphic hardware

, 2022
Thomas Bohnstingl, Anja Surina, Maxime Fabre, Yiğit Demirağ, Charlotte Frenkel, Melika Payvand, Giacomo Indiveri, Angeliki Pantazi   +7 more
openalex   +1 more source

Deep Spiking Neural Networks

, 2018
Neuromorphic Engineering (NE) has led to the development of biologically-inspired computer architectures whose long-term goal is to approach the performance of the human brain in terms of energy efficiency and cognitive capabilities. Although there are a number of neuromorphic platforms available for large-scale Spiking Neural Network (SNN) simulations,
openaire   +1 more source

Ionic–Bionic Interfaces: Advancing Iontronic Strategies for Bioelectronic Sensing and Therapy

Advanced Science, EarlyView.
Ionic–bionic interfaces for bioelectronics leverage ions as multifunctional mediators that combine mechanical compliance, ionic and electronic functionalities, and therapeutic effects. These systems offer real‐time biosignal transduction, effective wound dressing, responsive drug delivery, and seamless interaction between soft tissues and electronic ...
Yun Goo Ro, Yoojin Chang, Jeeyoon Kim, Seungjae Lee, Sangyun Na, Cheolhong Park, Hyunhyub Ko   +6 more
wiley   +1 more source

Hybrid Spike-Encoded Spiking Neural Networks for Real-Time EEG Seizure Detection: A Comparative Benchmark. [PDF]

Biomimetics (Basel)
Mehrabi A, Sreenivasan N, Gunawardana U, Gargiulo G.   +3 more
europepmc   +1 more source

Autophagy Activators Normalize Aberrant Tau Proteostasis and Rescue Synapses in Human Familial Alzheimer's Disease iPSC‐Derived Cortical Organoids

Advanced Science, EarlyView.
A new cerebrocortical organoid model using isogenic hiPSCs with familial Alzheimer's mutations recapitulates key AD features, including amyloid‐beta and phospho‐Tau aggregation, neuronal hyperexcitability, and synapse loss. Single‐cell RNA‐seq reveals aberrant pathways in excitatory and inhibitory neurons.
Sergio R. Labra, Jadon Compher, Akhil Prabhavalkar, Mireya Almaraz, Claudia Cedeño Kwong, Christine Baal, Maria Talantova, Nima Dolatabadi, Julian Piña‐Sanz, Yubo Wang, Leonard Yoon, Swagata Ghatak, Zi Gao, Yuting Zhang, Dorit Trudler, Lynee Massey, Wei Lin, Anthony Balistreri, Michael Bula, Nicholas J. Schork, Tony S. Mondala, Steven R. Head, Jeffery W. Kelly, Stuart A. Lipton   +23 more
wiley   +1 more source

A mean-field approach to criticality in spiking neural networks for reservoir computing. [PDF]

Sci Rep
Freddi R, Cicala F, Marzetti L, Basti A.
europepmc   +1 more source