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» Clustering neural spike trains with transient responses
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NIPS
2000
13 years 6 months ago
Finding the Key to a Synapse
Experimental data have shown that synapses are heterogeneous: different synapses respond with different sequences of amplitudes of postsynaptic responses to the same spike train. ...
Thomas Natschläger, Wolfgang Maass
NIPS
2003
13 years 6 months ago
Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model
Recent work has examined the estimation of models of stimulus-driven neural activity in which some linear filtering process is followed by a nonlinear, probabilistic spiking stag...
Jonathan Pillow, Liam Paninski, Eero P. Simoncelli
CONNECTION
2006
172views more  CONNECTION 2006»
13 years 5 months ago
Temporal sequence detection with spiking neurons: towards recognizing robot language instructions
We present an approach for recognition and clustering of spatio temporal patterns based on networks of spiking neurons with active dendrites and dynamic synapses. We introduce a n...
Christo Panchev, Stefan Wermter
IJON
2000
78views more  IJON 2000»
13 years 5 months ago
Model-free detection of synchrony in neuronal spike trains, with an application to primate somatosensory cortex
Synchronized neuronal ring has been reported in many neural systems and may play a role in the representation of sensory stimuli and the modi cation of sensory representations by ...
Arup Roy, Peter N. Steinmetz, Ken O. Johnson, Erns...
IJON
2002
91views more  IJON 2002»
13 years 5 months ago
Information transmission by stochastic synapses with short-term depression: neural coding and optimization
The ability of dynamic synapses with short-term depression to transmit the information present in the presynaptic spike train to the postsynaptic neuron is discussed. Both by mini...
Jaime de la Rocha, Angel Nevado, Néstor Par...