[PDF] Top 20 Event management for large scale event-driven digital hardware spiking neural networks
Has 10000 "Event management for large scale event-driven digital hardware spiking neural networks" found on our website. Below are the top 20 most common "Event management for large scale event-driven digital hardware spiking neural networks".
Event management for large scale event-driven digital hardware spiking neural networks
... the neural paradigm, exploration tools for connectionists and very intriguing computation plat- ...2009), digital signal processors (DSP) (Plana et al., 2007), analog very-large-scale ... Voir le document complet
31
Low-cost hardware implementations for discrete-time spiking neural networks
... of neural networks hardware imple- mentations. Hardware technologies have some capabil- ities to reproduce realistic neuron models (or biologi- cally plausible neuron models, focusing in ... Voir le document complet
7
Design exploration methodology for memristor-based spiking neuromorphic architectures with the Xnet event-driven simulator
... roscience, spiking neuromorphic hardware has gained momentum over the last years ...of Spiking Neural Network (SNN) hardware is to capture biological processes with a much higher ... Voir le document complet
7
A Spiking Neural Network Model of Depth from Defocus for Event-based Neuromorphic Vision
... very large amounts of data with fixed sampled frame-rates), and the classical Von Neumann computing architectures (which are affected by the memory bottleneck and require high power and high bandwidths to process ... Voir le document complet
12
Event-and Time-Driven Techniques Using Parallel CPU-GPU Co-processing for Spiking Neural Networks
... medium-scale neural networks (tens of thousands of neurons) while NEST is designed for very large-scale neural networks (up to ...the neural network behind. ... Voir le document complet
23
Attributed Graph Rewriting for Complex Event Processing Self-Management
... —operations. Attributes may be associated with simple operations in R (typically in- crement or decrement). These operations are applied along with the rule. 6.2.3. Mutators: Extending Rewriting Rules with Actions on the ... Voir le document complet
40
Deep learning for sentiment and event-driven REIT price dynamics
... expect large trading volume and price change in the subsequent several days after ...enjoy large price premium to NAV (Clayton and MacKinnon, ...a large positive excess return with alphas between ... Voir le document complet
111
Burning Man’s Gift-Driven, Event-Centred Diaspora
... ends. For example, the event has been mined for a variety of insights for studies of religion, art history, sociology, psychology, cultural geography, anthropology, architecture and marketing ... Voir le document complet
10
Coding static natural images using spiking event times: do neurons cooperate?
... In particular, there is little agreement about the representation of the informa- tion used by the spatio-temporal pattern of spikes. Following the pioneering work of Adrian [3], classical theories suggest that each ... Voir le document complet
29
Event triggering strategies for consensus in clustered networks
... Definition 1: A directed path of length p in a given digraph G = (V, E ) is a union of directed edges S p k=1 (i k , j k ) such that i k+1 = j k , ∀k ∈ {1, . . . , p − 1}. The node j is connected with node i in a digraph ... Voir le document complet
7
An event-driven optimization framework for dynamic vehicle routing
... Ecole des Mines de Nantes France Abstract The real-time operation of a fleet of vehicles introduces challenging optimization prob- lems researches in a wide range of applications, thus, it is appealing to both academia ... Voir le document complet
20
Cross-modal interaction in deep neural networks for audio-visual event classification and localization
... Split2 tests the generalization capabilities of networks: one subclass from each class is not seen by the network during training. This subclass is then used to test the model. Unimodal classification based on ... Voir le document complet
243
Back-engineering of spiking neural networks parameters
... tized spiking network of neurons with connection weights with delays, taking network of generalized integrate and fire (gIF) neuron model with synapses into account ... Voir le document complet
3
An event-driven optimization framework for dynamic vehicle routing
... systems for dynamic routing Zak [ 60 ] surveyed a wide range of DSSs for static vehicle ...developments. For instance, Fleischmann et al. [ 15 ] pre- sented an event-based DSS that takes into ... Voir le document complet
20
Parallel and pseudorandom discrete event system specification vs. networks of spiking neurons: Formalization and preliminary implementation results
... Discrete Event System Specification (P-DEVS) allows specifying systems from modeling to ...a spiking neural network. The discrete event specification presented here makes explicit and ... Voir le document complet
11
A policy based event management middleware for implementing rfid applications
... and hardware layer consisting of diverse types of sensors and ...Business Event and Data Processing Layer (BEDPL), Business Rules Layer (BRL), and Application Abstraction Layer (AAL) ... Voir le document complet
5
A critical survey of STDP in Spiking Neural Networks for Pattern Recognition
... interest for combining STDP with temporal rank- order coding of information to promote unsupervised ...(animals for instance) would require more training examples to be learnt since key features might not ... Voir le document complet
10
Neural activity of heterogeneous inhibitory spiking networks with delay
... essential for gamma- rhythm generation in the cortex [ 5 , 6 ]; while somatostatin- positive and parvalbumin-positive interneurons orchestrate sensory induced beta and gamma cortical oscillations [ 7 ...the ... Voir le document complet
14
Control of large discrete event systems : constructive algorithms
... Extending recent developments in the theory of controlled discrete event systems, constructive algorithms are derived for some basic elements in large system integrat[r] ... Voir le document complet
49
Solving dynamical systems in neuromorphic hardware: simulation studies using balanced spiking networks
... neuromorphic hardware. For this task we used Deneve’s balanced spiking network fra- mework ...recurrent spiking net- work of Leaky Integrate-and-Fire (LIF) neurons can track solution of a ... Voir le document complet
3
Sujets connexes