Results 101 to 110 of about 3,555,912 (299)
Advanced Functional Materials, EarlyView.An organic neuromorphic architecture for the classification of human motor behavior is presented and validated. It performs somatic integration by linearly combining the activity from three muscles. An investigation of synaptic weights is presented and discussed in relationship with the classification performance.
Ilenia Sergi +7 more
wiley +1 more source
Multiprocessing neural network simulator
, 2013 Over the last few years tremendous progress has been made in neuroscience by employing simulation tools for investigating neural network behaviour.
Kulakov, Anton
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Optical Detection of Cellular Signals at Material Interfaces
Advanced Healthcare Materials, EarlyView.Emerging functional materials are transforming optical detection of cellular signals. This review highlights optical techniques that exploit the unique optical properties of diverse materials to detect and quantify cellular electrical, chemical, and mechanical signals, and discusses key opportunities and challenges.
Xuchen Ren +5 more
wiley +1 more source
Evolutionary spiking neural networks: a survey
Journal of Membrane ComputingSpiking neural networks (SNNs) are gaining increasing attention as potential computationally efficient alternatives to traditional artificial neural networks(ANNs). However, the unique information propagation mechanisms and the complexity of SNN neuron models pose challenges for adopting traditional methods developed for ANNs to SNNs.
Shuaijie Shen +8 more
openaire +4 more sources
Propagation of Spike Sequences in Neural Networks [PDF]
SIAM Journal on Applied Dynamical Systems, 2010 Precise spatiotemporal sequences of action potentials are observed in many brain areas and are thought to be involved in the neural processing of sensory stimuli. Here, we examine the ability of spiking neural networks to propagate stably a spatiotemporal sequence of spikes in the limit where each neuron fires only one spike.
openaire +4 more sources
Advanced Healthcare Materials, EarlyView.Application of a zwitterionic poly(sulfobetaine methacrylate) (PSB) coating to microelectrode arrays and Ag/AgCl reference electrodes effectively inhibits biofouling and structural degradation. This strategy successfully enables simultaneous, long‐term electrophysiological recording and dopamine sensing in freely behaving mice, facilitating ...
Bingchen Wu +5 more
wiley +1 more source
SNNAX - Spiking Neural Networks in JAX
2024 International Conference on Neuromorphic Systems (ICONS)Spiking Neural Networks (SNNs) simulators are essential tools to prototype biologically inspired models and neuromorphic hardware architectures and predict their performance. For such a tool, ease of use and flexibility are critical, but so is simulation speed especially given the complexity inherent to simulating SNN.
Lohoff, Jamie +2 more
openaire +5 more sources
Phase diagram of spiking neural networks [PDF]
Frontiers in Computational Neuroscience, 2015 In computer simulations of spiking neural networks, often it is assumed that every two neurons of the network are connected by a probability of 2\%, 20\% of neurons are inhibitory and 80\% are excitatory. These common values are based on experiments, observations, and trials and errors, but here, I take a different perspective, inspired by evolution, I
openaire +4 more sources
Spiking Versus Traditional Neural Networks for Character Recognition on FPGA Platform
, 2018 Spiking Neural Networks (SNN) is considered the third generation of neural networks. This type of neural networks are inspired from biological nature of cortical neuron, and they (SNNs) introduced the concept of time rather than using real-valued inputs ...
Mohammad Kadhim, Thaer; Department of Control Systems Engineering, University of Technology, Sina'a St., Baghdad, Iraq +1 more
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