Response features determining spike times
Interpreting messages encoded in single neuronal responses requires knowing which
features of the responses carry information. That the number of spikes is an important part of …
features of the responses carry information. That the number of spikes is an important part of …
Spike timing-dependent plasticity as dynamic filter
J Schmiedt, C Albers… - Advances in Neural …, 2010 - proceedings.neurips.cc
When stimulated with complex action potential sequences synapses exhibit spike timing-
dependent plasticity (STDP) with attenuated and enhanced pre-and postsynaptic …
dependent plasticity (STDP) with attenuated and enhanced pre-and postsynaptic …
Does morphology influence temporal plasticity?
DC Sterratt, A van Ooyen - International Conference on Artificial Neural …, 2002 - Springer
Applying bounded weight-independent temporal plasticity rule to synapses from
independent Poisson firing presynaptic neurons onto a conductance-based integrate-and …
independent Poisson firing presynaptic neurons onto a conductance-based integrate-and …
Experimental and computational aspects of signaling mechanisms of spike‐timing‐dependent plasticity
H Urakubo, M Honda, K Tanaka, S Kuroda - HFSP journal, 2009 - Taylor & Francis
STDP (spike‐timing‐dependent synaptic plasticity) is thought to be a synaptic learning rule
that embeds spike‐timing information into a specific pattern of synaptic strengths in neuronal …
that embeds spike‐timing information into a specific pattern of synaptic strengths in neuronal …
A stochastic approach to STDP
We present a digital implementation of the Spike Timing Dependent Plasticity (STDP)
learning rule. The proposed digital implementation consists of an exponential decay (exp …
learning rule. The proposed digital implementation consists of an exponential decay (exp …
Local learning rules: predicted influence of dendritic location on synaptic modification in spike-timing-dependent plasticity
A Saudargiene, B Porr, F Wörgötter - Biological cybernetics, 2005 - Springer
Recent indirect experimental evidence suggests that synaptic plasticity changes along the
dendrites of a neuron. Here we present a synaptic plasticity rule which is controlled by the …
dendrites of a neuron. Here we present a synaptic plasticity rule which is controlled by the …
Frequency selectivity emerging from spike-timing-dependent plasticity
M Gilson, M Bürck, AN Burkitt, JL van Hemmen - Neural computation, 2012 - direct.mit.edu
Periodic neuronal activity has been observed in various areas of the brain, from lower
sensory to higher cortical levels. Specific frequency components contained in this periodic …
sensory to higher cortical levels. Specific frequency components contained in this periodic …
Reconciling the STDP and BCM models of synaptic plasticity in a spiking recurrent neural network
Rate-coded Hebbian learning, as characterized by the BCM formulation, is an established
computational model of synaptic plasticity. Recently it has been demonstrated that changes …
computational model of synaptic plasticity. Recently it has been demonstrated that changes …
Efficient design of triplet based spike-timing dependent plasticity
Spike-Timing Dependent Plasticity (STDP) is believed to play an important role in learning
and the formation of computational function in the brain. The classical model of STDP which …
and the formation of computational function in the brain. The classical model of STDP which …
Emergence of network structure due to spike-timing-dependent plasticity in recurrent neuronal networks. I. Input selectivity–strengthening correlated input pathways
M Gilson, AN Burkitt, DB Grayden, DA Thomas… - Biological …, 2009 - Springer
Spike-timing-dependent plasticity (STDP) determines the evolution of the synaptic weights
according to their pre-and post-synaptic activity, which in turn changes the neuronal activity …
according to their pre-and post-synaptic activity, which in turn changes the neuronal activity …