The temporal paradox of Hebbian learning and homeostatic plasticity

F Zenke, W Gerstner, S Ganguli - Current opinion in neurobiology, 2017 - Elsevier
Hebbian plasticity, a synaptic mechanism which detects and amplifies co-activity between
neurons, is considered a key ingredient underlying learning and memory in the brain …

Phenomenological models of synaptic plasticity based on spike timing

A Morrison, M Diesmann, W Gerstner - Biological cybernetics, 2008 - Springer
Synaptic plasticity is considered to be the biological substrate of learning and memory. In
this document we review phenomenological models of short-term and long-term synaptic …

[图书][B] Neuronal dynamics: From single neurons to networks and models of cognition

W Gerstner, WM Kistler, R Naud, L Paninski - 2014 - books.google.com
What happens in our brain when we make a decision? What triggers a neuron to send out a
signal? What is the neural code? This textbook for advanced undergraduate and beginning …

[图书][B] Spiking neuron models: Single neurons, populations, plasticity

W Gerstner, WM Kistler - 2002 - books.google.com
Neurons in the brain communicate by short electrical pulses, the so-called action potentials
or spikes. How can we understand the process of spike generation? How can we …

Supervised learning in spiking neural networks with ReSuMe: sequence learning, classification, and spike shifting

F Ponulak, A Kasiński - Neural computation, 2010 - direct.mit.edu
Learning from instructions or demonstrations is a fundamental property of our brain
necessary to acquire new knowledge and develop novel skills or behavioral patterns. This …

Triplets of spikes in a model of spike timing-dependent plasticity

JP Pfister, W Gerstner - Journal of Neuroscience, 2006 - Soc Neuroscience
Classical experiments on spike timing-dependent plasticity (STDP) use a protocol based on
pairs of presynaptic and postsynaptic spikes repeated at a given frequency to induce …

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 …

The role of single neurons in information processing

C Koch, I Segev - Nature neuroscience, 2000 - nature.com
Neurons carry out the many operations that extract meaningful information from sensory
receptor arrays at the organism's periphery and translate these into action, imagery and …

Mathematical formulations of Hebbian learning

W Gerstner, WM Kistler - Biological cybernetics, 2002 - Springer
Several formulations of correlation-based Hebbian learning are reviewed. On the
presynaptic side, activity is described either by a firing rate or by presynaptic spike arrival …

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 …