irreducible 发表于 2025-3-27 00:17:40
http://reply.papertrans.cn/17/1628/162704/162704_31.png变形 发表于 2025-3-27 04:07:44
Correlation coding in stochastic neural networks,hastic nature of the input signal, but there is nevertheless a strong central peak in the correlation of the output spike trains. The experimental data and this simple model clearly demonstrate how even a noisy-looking spike train can convey basic information about a sensory stimulus in the relative spike timing between neurons.领袖气质 发表于 2025-3-27 09:14:47
https://doi.org/10.1007/978-1-4613-0079-3ecific locations. The degree to which the specific fragment extracted by each synapse, will influence the spiking activity of the neuron, depends the ongoing integration of input from other presynaptic neurons. It is therefore proposed that differential synaptic transmission enables the neocortex to思乡病 发表于 2025-3-27 11:54:12
The information content of action potential trains a synaptic basis,ecific locations. The degree to which the specific fragment extracted by each synapse, will influence the spiking activity of the neuron, depends the ongoing integration of input from other presynaptic neurons. It is therefore proposed that differential synaptic transmission enables the neocortex to的染料 发表于 2025-3-27 13:37:03
http://reply.papertrans.cn/17/1628/162704/162704_35.pngAxillary 发表于 2025-3-27 20:00:33
http://reply.papertrans.cn/17/1628/162704/162704_36.png禁止 发表于 2025-3-28 01:39:38
http://reply.papertrans.cn/17/1628/162704/162704_37.pngacolyte 发表于 2025-3-28 02:55:21
Cross-correlations in sparsely connected recurrent networks of spiking neurons,es, and in particular cross-Correlations (CC) between spike times of pairs of neurons using both numerical simulations and a recent theory. CCs exhibit damped oscillations with a frequency which depends on synaptic time constants. Individual CCs are shown to depend weakly on synaptic connectivity. Tarbovirus 发表于 2025-3-28 07:41:19
A comparative study of pattern detection algorithm and dynamical system approach using simulated spc attractors and Poisson processes. We show that both algorithms are able to detect a deterministic activity in the chaotic spike trains and they are tolerant to the presence of noise in input data. A method for noise filtering in input data series is proposed and its application is demonstrated forarousal 发表于 2025-3-28 13:41:30
Spatio-temporal pattern recognition with neural networks: Application to speech,l pattern recognition framework using neural networks in relation with the understanding of the peripheral auditory system. We propose a short-time structure representation of speech for speech analysis and recognition. We give examples of neural networks architecture and applications that are desig