Results 71 to 80 of about 75,067 (283)

Supervised Learning in Multilayer Spiking Neural Networks [PDF]

, 2012
The current article introduces a supervised learning algorithm for multilayer spiking neural networks. The algorithm presented here overcomes some limitations of existing learning algorithms as it can be applied to neurons firing multiple spikes and it ...
André Grüning, Bohte S., Elias J. G., Gerstner W., Hebb D. O., Ioana Sporea, Maass W., Rostro-Gonzalez H., Rumelhart D. E., Thorpe S. T., Xin J.   +10 more
core   +2 more sources

Real-Time Computing Platform for Spiking Neurons (RT-Spike)

IEEE Transactions on Neural Networks, 2006
A computing platform is described for simulating arbitrary networks of spiking neurons in real time. A hybrid computing scheme is adopted that uses both software and hardware components to manage the tradeoff between flexibility and computational power; the neuron model is implemented in hardware and the network model and the learning are implemented ...
Ros Vidal, Eduardo, Martínez Ortigosa, Eva, Agís, Rodrigo, Carrillo Sánchez, Richard Rafael, Arnold, Michael   +4 more
openaire   +3 more sources

Ketogenic Diet as an Epigenetic Therapy in SETD1B‐Related Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Histone lysine methyltransferases such as SETD1B regulate chromatin structure and gene transcription. Ketone bodies, including butyrate, act as histone deacetylase inhibitors. We report a 4‐year‐old boy with SETD1B‐related absence epilepsy, refractory to conventional medications, who achieved sustained > 90% seizure reduction on the Modified ...
Erica Tsang, Brian S. Gloss, Jessica P. Hayes, Andrew J. A. Holland, Manoj P. Menezes, Joceline A. Branson, Shekeeb S. Mohammad, Jingya J. Yan, Shrujna Patel, Velda X. Han, Russell C. Dale   +10 more
wiley   +1 more source

WiN-GUI: A graphical tool for neuron-based encoding

SoftwareX
Neuromorphic computing relies on event-based, energy-efficient communication, inherently implying the need for conversion between real-valued (sensory) data and binary, sparse spiking representation.
Simon F. Müller-Cleve, Fernando M. Quintana, Vittorio Fra, Pedro L. Galindo, Fernando Perez-Peña, Gianvito Urgese, Chiara Bartolozzi   +6 more
doaj   +1 more source

Automatic fitting of spiking neuron models to electrophysiological recordings

Frontiers in Neuroinformatics, 2010
Spiking models can accurately predict the spike trains produced by cortical neurons in response to somatically injected currents. Since the specific characteristics of the model depend on the neuron, a computational method is required to fit models to ...
Cyrille Rossant, Dan F M Goodman, Jonathan Platkiewicz, Romain Brette   +3 more
doaj   +1 more source

Engineering Spiking Neurons Using Threshold Switching Devices for High-Efficient Neuromorphic Computing

Frontiers in Neuroscience, 2022
Inspired by the human brain, the spike-based neuromorphic system has attracted strong research enthusiasm because of the high energy efficiency and powerful computational capability, in which the spiking neurons and plastic synapses are two fundamental ...
Yanting Ding, Yanting Ding, Yajun Zhang, Xumeng Zhang, Xumeng Zhang, Xumeng Zhang, Pei Chen, Pei Chen, Zefeng Zhang, Yue Yang, Yue Yang, Lingli Cheng, Lingli Cheng, Chen Mu, Chen Mu, Ming Wang, Ming Wang, Du Xiang, Du Xiang, Guangjian Wu, Guangjian Wu, Guangjian Wu, Keji Zhou, Keji Zhou, Keji Zhou, Zhe Yuan, Qi Liu, Qi Liu, Qi Liu   +28 more
doaj   +1 more source

Neural activity classification with machine learning models trained on interspike interval series data

, 2020
The flow of information through the brain is reflected by the activity patterns of neural cells. Indeed, these firing patterns are widely used as input data to predictive models that relate stimuli and animal behavior to the activity of a population of ...
Gutkin, Boris, Lazarevich, Ivan, Prokin, Ilya   +2 more
core  

Independent Component Analysis in Spiking Neurons

PLoS Computational Biology, 2010
Although models based on independent component analysis (ICA) have been successful in explaining various properties of sensory coding in the cortex, it remains unclear how networks of spiking neurons using realistic plasticity rules can realize such computation.
Savin, Cristina, Joshi, Prashant, Triesch, Jochen   +2 more
openaire   +6 more sources

Elevated Connectivity During Language Processing Is Associated With Cognitive Performance in SeLECTS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Self‐Limited Epilepsy with Centrotemporal Spikes (SeLECTS) is associated with language impairments despite seizures originating in the motor cortex, suggesting aberrant cross‐network interactions. Here we tested whether functional connectivity in SeLECTS during language tasks predicts language performance.
Wendy Qi, Katharine Lee, Kerry C. Nix, Miguel Menchaca, Xiwei Shé, Lorelei Santa Maria, Wei Wu, Zihuai He, Fiona M. Baumer   +8 more
wiley   +1 more source

Harnessing Fungal Biowelding for Constructing Mycelium‐Engineered Materials

Advanced Engineering Materials, EarlyView.
Mycelium‐bound composites (MBCs) offer low‐carbon alternatives for construction, yet interfacial bonding remains a critical challenge. This review examines fungal biowelding as a biocompatible adhesive, elucidating mycelium‐mediated interfacial mechanisms and their role in material assembly. Strategies to optimize biowelding are discussed, highlighting
Xue Brenda Bai, Xinrui Sarah Niu, Zhao Qin   +2 more
wiley   +1 more source