Spike-timing dependent plasticity

Front Cover
Henry Markram, Wulfram Gerstner, Per Jesper Sjöström
Frontiers E-books

 Hebb's postulate provided a crucial framework to understand synaptic alterations underlying learning and memory. 


Hebb's theory proposed that neurons that fire together, also wire together, which provided the logical framework for the strengthening of synapses. Weakening of synapses was however addressed by "not being strengthened", and it was only later that the active decrease of synaptic strength was introduced through the discovery of long-term depression caused by low frequency stimulation of the presynaptic neuron. In 1994, it was found that the precise relative timing of pre and postynaptic spikes determined not only the magnitude, but also the direction of synaptic alterations when two neurons are active together. Neurons that fire together may therefore not necessarily wire together if the precise timing of the spikes involved are not tighly correlated. In the subsequent 15 years, Spike Timing Dependent Plasticity (STDP) has been found in multiple brain brain regions and in many different species. The size and shape of the time windows in which positive and negative changes can be made vary for different brain regions, but the core principle of spike timing dependent changes remain. A large number of theoretical studies have also been conducted during this period that explore the computational function of this driving principle and STDP algorithms have become the main learning algorithm when modeling neural networks. This Research Topic will bring together all the key experimental and theoretical research on STDP.
 

Contents

a comprehensive overview
8
A history of spiketimingdependent plasticity
11
Spiketiming dependent plasticity
35
spiking timing rates and beyond
45
Discovering associative longterm synaptic modification and timing dependence of plasticity a very brief and personal history
48
a personal account
50
Questions about STDP as a general model of synaptic plasticity
53
more than just spiketiming?
58
The applicability of spike time dependent plasticity to development
262
STDP in recurrent neuronal networks
271
dysregulation of dendritic excitability in Fragile X syndrome
286
Voltage and spike timing interact in STDP a unified model
294
Rate and pulse based plasticity governed by local synaptic state variables
305
a study of the network capacity
333
A Ca2+based computational model for NMDA receptordependent synaptic plasticity at individual postsynaptic spines in the hippocampus
345
Enabling functional neural circuit simulations with distributed computing of neuromodulated plasticity
357

a consequence of more fundamental learning rules
60
A reexamination of Hebbiancovariance rules and spike timingdependent plasticity in cat visual cortex in vivo
73
The activity requirements for spike timingdependent plasticity in the hippocampus
94
Mechanisms of induction and maintenance of spiketiming dependent plasticity in biophysical synapse models
99
Dendritic synapse location and neocortical spiketimingdependent plasticity
118
Presynaptic NMDA receptors and spike timingdependent depression at cortical synapses
132
neuromodulation opens the STDP gate
138
Temporal modulation of spiketimingdependent plasticity
152
counteracting spurious spike coincidences
168
the evidence in human cortex
178
In vivo spiketimingdependent plasticity in the optic tectum of Xenopus laevis
189
Spiketiming dependent plasticity in inhibitory circuits
200
AntiHebbian spiketimingdependent plasticity and adaptive sensory processing
208
Spiketiming dependent plasticity in the striatum
219
STDP in the developing sensory neocortex
229
keeping a neurons cool in a fluctuating world
240
Spiketiming dependent plasticity beyond synapse pre and postsynaptic plasticity of intrinsic neuronal excitability
256
theoretical conditions for desynchronization and applications to deep brain stimulation
374
Spiketiming dependent plasticity and the cognitive map
384
STDP in adaptive neurons gives closetooptimal information transmission
397
Closedform treatment of the interactions between neuronal activity and timingdependent plasticity in networks of linear neurons
413
A spiking neural network model of the medial superior olive using spike timing dependent plasticity for sound localization
428
Decorrelation of odor representations via spike timingdependent plasticity
444
Spike timingdependent plasticity as the origin of the formation of clustered synaptic efficacy engrams
455
Limits to the development of feedforward structures in large recurrent neuronal networks
470
Human synapses show a wide temporal window for spiketimingdependent plasticity
485
A developmental sensitive period for spike timingdependent plasticity in the retinotectal projection
496
GABAergic synaptic transmission regulates calcium influx during spiketiming dependent plasticity
506
GABAergic activities control spike timing and frequencydependent longterm depression at hippocampal excitatory synapses
515
a possible signal for spiketimingdependent plasticity
530
Corticostriatal spiketiming dependent plasticity after activation of subcortical pathways
548
Information carried by population spike times in the whisker sensory cortex can be decoded without knowledge of stimulus time
561
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