Neuromodulated spike-timing-dependent plasticity, and theory of three-factor learning rules

N Frémaux, W Gerstner - Frontiers in neural circuits, 2016 - frontiersin.org
Classical Hebbian learning puts the emphasis on joint pre-and postsynaptic activity, but
neglects the potential role of neuromodulators. Since neuromodulators convey information …

Eligibility traces and plasticity on behavioral time scales: experimental support of neohebbian three-factor learning rules

W Gerstner, M Lehmann, V Liakoni… - Frontiers in neural …, 2018 - frontiersin.org
Most elementary behaviors such as moving the arm to grasp an object or walking into the
next room to explore a museum evolve on the time scale of seconds; in contrast, neuronal …

[HTML][HTML] Functional requirements for reward-modulated spike-timing-dependent plasticity

N Frémaux, H Sprekeler, W Gerstner - Journal of Neuroscience, 2010 - Soc Neuroscience
Recent experiments have shown that spike-timing-dependent plasticity is influenced by
neuromodulation. We derive theoretical conditions for successful learning of reward-related …

[HTML][HTML] Learning with three factors: modulating Hebbian plasticity with errors

Ł Kuśmierz, T Isomura, T Toyoizumi - Current opinion in neurobiology, 2017 - Elsevier
Highlights•The three-factor framework describes various learning rules in a unified
way.•Third factors can encode reward, attention, summary statistics, or supervised …

[HTML][HTML] Spike-timing dependent plasticity

J Sjöström, W Gerstner - Scholarpedia, 2010 - scholarpedia.org
Figure 1: Spike-Timing Dependent Plasticity (schematic): The STDP function shows the
change of synaptic connections as a function of the relative timing of pre-and postsynaptic …

Spike-timing-dependent Hebbian plasticity as temporal difference learning

RPN Rao, TJ Sejnowski - Neural computation, 2001 - ieeexplore.ieee.org
A spike-timing-dependent Hebbian mechanism governs the plasticity of recurrent excitatory
synapses in the neocortex: synapses that are activated a few milliseconds before a …

Spike-timing-dependent plasticity: the relationship to rate-based learning for models with weight dynamics determined by a stable fixed point

AN Burkitt, H Meffin, DB Grayden - Neural Computation, 2004 - direct.mit.edu
Experimental evidence indicates that synaptic modification depends on the timing
relationship between the presynaptic inputs and the output spikes that they generate. In this …

Stable Hebbian learning from spike timing-dependent plasticity

MCW Van Rossum, GQ Bi… - Journal of …, 2000 - Soc Neuroscience
We explore a synaptic plasticity model that incorporates recent findings that potentiation and
depression can be induced by precisely timed pairs of synaptic events and postsynaptic …

Balancing feed-forward excitation and inhibition via Hebbian inhibitory synaptic plasticity

Y Luz, M Shamir - PLoS computational biology, 2012 - journals.plos.org
It has been suggested that excitatory and inhibitory inputs to cortical cells are balanced, and
that this balance is important for the highly irregular firing observed in the cortex. There are …

Homeostatic role of heterosynaptic plasticity: models and experiments

M Chistiakova, NM Bannon, JY Chen… - Frontiers in …, 2015 - frontiersin.org
Homosynaptic Hebbian-type plasticity provides a cellular mechanism of learning and
refinement of connectivity during development in a variety of biological systems. In this …