The temporal paradox of Hebbian learning and homeostatic plasticity
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 …
neurons, is considered a key ingredient underlying learning and memory in the brain …
Phenomenological models of synaptic plasticity based on spike timing
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 …
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
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 …
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 …
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 …
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 …
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 …
depression can be induced by precisely timed pairs of synaptic events and postsynaptic …
The role of single neurons in information processing
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 …
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 …
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 …
plasticity, starting from a puzzling observation: while homeostasis of synapses found in …