Sensitivity Analysis for additive STDP rule
نویسندگان
چکیده
Spike Timing Dependent Plasticity (STDP) is a Hebbian like synaptic learning rule. The basis of STDP has strong experimental evidences and it depends on precise input and output spike timings. In this paper we show that under biologically plausible spiking regime, slight variability in the spike timing leads to drastically different evolution of synaptic weights when its dynamics are governed by the additive STDP rule.
منابع مشابه
STDP in Adaptive Neurons Gives Close-To-Optimal Information Transmission
Spike-frequency adaptation is known to enhance the transmission of information in sensory spiking neurons by rescaling the dynamic range for input processing, matching it to the temporal statistics of the sensory stimulus. Achieving maximal information transmission has also been recently postulated as a role for spike-timing-dependent plasticity (STDP). However, the link between optimal plastic...
متن کاملWhy Neuronal Dynamics Should Control Synaptic Learning Rules
Hebbian learning rules are generally formulated as static rules. Under changing condition (e.g. neuromodulation, input statistics) most rules are sensitive to parameters. In particular, recent work has focused on two different formulations of spike-timing-dependent plasticity rules. Additive STDP [1] is remarkably versatile but also very fragile, whereas multiplicative STDP [2, 3] is more robus...
متن کاملTitle : A triplet model of spike - timing dependent plasticity generalizes the BCM rule to spatio - temporal inputs
Synaptic strength depresses for low, and potentiates for high activation of the postsynaptic neuron. This feature is a key property of the well-known Bienenstock-Cooper-Munro (BCM) synaptic rule, which has been shown to maximize the selectivity of the postynaptic neuron, and thereby offers a possible explanation for experience-dependent cortical plasticity such as orientation selectivity. Howev...
متن کاملA triplet spike-timing-dependent plasticity model generalizes the Bienenstock-Cooper-Munro rule to higher-order spatiotemporal correlations.
Synaptic strength depresses for low and potentiates for high activation of the postsynaptic neuron. This feature is a key property of the Bienenstock-Cooper-Munro (BCM) synaptic learning rule, which has been shown to maximize the selectivity of the postsynaptic neuron, and thereby offers a possible explanation for experience-dependent cortical plasticity such as orientation selectivity. However...
متن کاملSlowness: An Objective for Spike-Timing–Dependent Plasticity?
Our nervous system can efficiently recognize objects in spite of changes in contextual variables such as perspective or lighting conditions. Several lines of research have proposed that this ability for invariant recognition is learned by exploiting the fact that object identities typically vary more slowly in time than contextual variables or noise. Here, we study the question of how this "tem...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- CoRR
دوره abs/1503.07490 شماره
صفحات -
تاریخ انتشار 2015