Back-Propagation Learning in Deep Spike-By-Spike Networks
نویسندگان
چکیده
منابع مشابه
Propagation of Spike Sequences in Neural Networks
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. In contrast to previous studies on propagation in neural networks, we...
متن کاملLearning to represent signals spike by spike
1Champalimaud Neuroscience Programme, Champalimaud Foundation, Lisbon, Portugal 2Group for Neural Theory, INSERM U960, Département d’Etudes Cognitives, Ecole Normale Supérieure, Paris, France 3Werner Reichardt Centre for Integrative Neuroscience, University of Tübingen, Germany ∗These authors contributed equally †To whom correspondence should be addressed; E-mail: [email protected] or christ...
متن کاملSpike Event Based Learning in Neural Networks
A scheme is derived for learning connectivity in spiking neural networks. The scheme learns instantaneous firing rates that are conditional on the activity in other parts of the network. The scheme is independent of the choice of neuron dynamics or activation function, and network architecture. It involves two simple, online, local learning rules that are applied only in response to occurrences...
متن کاملSpike propagation in driven chain networks with dominant global inhibition.
Spike propagation in chain networks is usually studied in the synfire regime, in which successive groups of neurons are synaptically activated sequentially through the unidirectional excitatory connections. Here we study the dynamics of chain networks with dominant global feedback inhibition that prevents the synfire activity. Neural activity is driven by suprathreshold external inputs. We anal...
متن کاملSynaptic plasticity induced transition of spike propagation in neuronal networks
Article history: Received 1 May 2012 Received in revised form 1 August 2012 Accepted 2 August 2012 Available online 15 August 2012
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Frontiers in Computational Neuroscience
سال: 2019
ISSN: 1662-5188
DOI: 10.3389/fncom.2019.00055