Timing Intervals Using Population Synchrony and Spike Timing Dependent Plasticity
نویسندگان
چکیده
منابع مشابه
Timing Intervals Using Population Synchrony and Spike Timing Dependent Plasticity
We present a computational model by which ensembles of regularly spiking neurons can encode different time intervals through synchronous firing. We show that a neuron responding to a large population of convergent inputs has the potential to learn to produce an appropriately-timed output via spike-time dependent plasticity. We explain why temporal variability of this population synchrony increa...
متن کاملSpike timing dependent plasticity: mechanisms, significance, and controversies
Long-term modification of synaptic strength is one of the basic mechanisms of memory formation and activity-dependent refinement of neural circuits. This idea was purposed by Hebb to provide a basis for the formation of a cell assembly. Repetitive correlated activity of pre-synaptic and post-synaptic neurons can induce long-lasting synaptic strength modification, the direction and extent of whi...
متن کاملInput synchrony and spike-timing dependent plasticity
The influence of a weight-dependent spike-timing dependent plasticity (STDP) rule on the temporal evolution and equilibrium state of a certain synapse is investigated. We show that under certain conditions, a spike-induced rate-learning scheme could be achieved. Through studying the situation when a single Hodgkin-Huxley neuron is driven by a large ensemble of input neurons, we find that synchr...
متن کاملSpike timing dependent plasticity: mechanisms, significance, and controversies
Long-term modification of synaptic strength is one of the basic mechanisms of memory formation and activity-dependent refinement of neural circuits. This idea was purposed by Hebb to provide a basis for the formation of a cell assembly. Repetitive correlated activity of pre-synaptic and post-synaptic neurons can induce long-lasting synaptic strength modification, the direction and extent of whi...
متن کاملSpike-timing dependent plasticity
Spike Timing Dependent Plasticity (STDP) is a temporally asymmetric form of Hebbian learning induced by tight temporal correlations between the spikes of preand postsynaptic neurons. As with other forms of synaptic plasticity, it is widely believed that it underlies learning and information storage in the brain, as well as the development and refinement of neuronal circuits during brain develop...
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ژورنال
عنوان ژورنال: Frontiers in Computational Neuroscience
سال: 2016
ISSN: 1662-5188
DOI: 10.3389/fncom.2016.00123