Dynamical Systems and Accurate Temporal Information Transmission in Neural Networks
We simulated the activity of hierarchically organized spiking neural networks characterized by an initial developmental phase featuring cell death followed by spike timing dependent synaptic plasticity in presence of background noise. Upstream networks receiving spatiotemporally organized external inputs projected to downstream networks disconnected from external inputs. The observation of precise firing sequences, formed by recurrent patterns of spikes intervals above chance levels, suggested the build-up of an unsupervised connectivity able to sustain and preserve temporal information processing.
Alessandro E.P. Villa Yoshiyuki Asai Javier Iglesias Olga K. Chibirova Jeremie Cabessa Pierre Dutoit Vladyslav Shaposhnyk
Neuroheuristic Research Group, Grenoble Institute of Neuroscience, Universite Joseph Fourier,Grenoble, France Sleep Research Laboratory, Department of Psychiatry HUGE, Geneva,Switzerland Neuroheuristic Research Group, ISI-HEC, University of Lausanne, Lausanne,Switzerland
国际会议
The Second International Conference on Cognitive Neurodynamics--2009(第二届国际认知神经动力学会议)
杭州
英文
61-66
2009-11-15(万方平台首次上网日期,不代表论文的发表时间)