A neural circuit model of flexible sensorimotor mapping: learning and forgetting on multiple timescales.

By Stefano Fusi, Wael Asaad, Earl K. Miller, Xiao-Jing Wang. 2007

181 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Electrical and Electronic Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

In Electrical and Electronic Engineering

Citations in the corpus

The Brain's Router: A Cortical Network Model of Serial Processing in the Primate Brain (2010, background): “As in previous works [31,37,44,174], all neurons receive background Poisson inputs with approximate mean conductances”
Reinforcement learning in populations of spiking neurons (2008, background): “But then, even in cases where the mean firing rate description of the spiking population is itself carefully established [13], it is often unclear what the mean firing rate plasticity rule actually means at the level of the single spiking neuron.”
Abstract context representations in primate amygdala and prefrontal cortex (2015, background): “…mode corresponding to the current context in which licking reflected the reinforcement contingencies of both CSs. Exploration has been described previously as resulting from switches in the rule linking cues and reward (Quilodran et al., 2008) or cues and operant responses (Fusi et al., 2007).”
Simple Substrates for Complex Cognition (2008, background): “Sophisticated tasks of this sort (Badre et al., 2005; Frank et al., 2001; Fusi et al., 2007; Koechlin and Summerfield, 2007; Koechlin et al., 1999, 2003) pose a variety of challenges for neurally inspired computational theories in terms of both acquisition and execution.”
The Persistence and Transience of Memory. (2017, background): “Fusi et al. (2007) found that the primates’ behavior could be best described by a model that combined both a slow and fast synaptic plasticity rule.”
Learning Spike-Based Population Codes by Reward and Population Feedback (2010, background): “But for an ensemble average, even in cases where the rate description of the spiking population is itself carefully established (Fusi et al., 2007), it is often unclear what the mean firing rate plasticity rule actually means at the level of the single spiking neuron.”
Decision making in recurrent neuronal circuits. (2008, methodology): “Specifically, we used binary synapses that undergo a stochastic Hebbian learning rule, namely that synaptic plasticity depends on coactivation of presynaptic and postsynaptic neurons and takes place probabilistically (Fusi, 2002; Fusi et al., 2007).”
Thinking fast and slow: Optimization decomposition across timescales (2017, background): “Even human sensorimotor control exhibits the same phenomenon, with slow timescale behaviors such as trajectory planning and fast timescale behaviors such as involuntary reflexes [19], [31], [42], [46].”