[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 …

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 …

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 …

Heterosynaptic plasticity: multiple mechanisms and multiple roles

M Chistiakova, NM Bannon, M Bazhenov… - The …, 2014 - journals.sagepub.com
Plasticity is a universal property of synapses. It is expressed in a variety of forms mediated
by a multitude of mechanisms. Here we consider two broad kinds of plasticity that differ in …

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 …

[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 …

Learning input correlations through nonlinear temporally asymmetric Hebbian plasticity

R Gütig, R Aharonov, S Rotter… - Journal of …, 2003 - Soc Neuroscience
Triggered by recent experimental results, temporally asymmetric Hebbian (TAH) plasticity is
considered as a candidate model for the biological implementation of competitive synaptic …

Synaptic plasticity: taming the beast

LF Abbott, SB Nelson - Nature neuroscience, 2000 - nature.com
Synaptic plasticity provides the basis for most models of learning, memory and development
in neural circuits. To generate realistic results, synapse-specific Hebbian forms of plasticity …

Synaptic plasticity forms and functions

JC Magee, C Grienberger - Annual review of neuroscience, 2020 - annualreviews.org
Synaptic plasticity, the activity-dependent change in neuronal connection strength, has long
been considered an important component of learning and memory. Computational and …

Hebbian plasticity requires compensatory processes on multiple timescales

F Zenke, W Gerstner - … transactions of the royal society B …, 2017 - royalsocietypublishing.org
We review a body of theoretical and experimental research on Hebbian and homeostatic
plasticity, starting from a puzzling observation: while homeostasis of synapses found in …