Balanced networks under spike-time dependent plasticity
نویسندگان
چکیده
منابع مشابه
Spike-Timing-Dependent Plasticity in Balanced Random Networks
The balanced random network model attracts considerable interest because it explains the irregular spiking activity at low rates and large membrane potential fluctuations exhibited by cortical neurons in vivo. In this article, we investigate to what extent this model is also compatible with the experimentally observed phenomenon of spike-timing-dependent plasticity (STDP). Confronted with the p...
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: 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...
متن کاملSpike-Timing Dependent Plasticity
One of the most prominent but least understood neuroanatornical features of the cerebral cortex is feedback. Neurons within a cortical area generally receive massive excitatory feedback from other neurons in the same cortical area. Some of these neurons, especially those in the superficial layers, send feedforward axons to higher cortical areas while others neurons, particularly those in the de...
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ژورنال
عنوان ژورنال: PLOS Computational Biology
سال: 2021
ISSN: 1553-7358
DOI: 10.1371/journal.pcbi.1008958