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Mark W. Howe, Daniel A. Dombeck

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576
A Neural Circuit Mechanism for Encoding Aversive Stimuli in the Mesolimbic Dopamine System DOI Creative Commons
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Jean‐François Poulin,

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Abstract Recurrently connected networks of spiking neurons underlie the astounding information processing capabilities brain. Yet in spite extensive research, how they can learn through synaptic plasticity to carry out complex network computations remains unclear. We argue that two pieces this puzzle were provided by experimental data from neuroscience. A mathematical result tells us these need be combined enable biologically plausible online learning gradient descent, particular deep reinforcement learning. This method–called e-prop–approaches performance backpropagation time (BPTT), best-known method for training recurrent neural machine In addition, it suggests a powerful on-chip energy-efficient spike-based hardware artificial intelligence.

Language: Английский

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