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Analysis of the computational strategy of a detailed laminar cortical microcircuit model for solving the image-change-detection task
The neocortex can be viewed as a tapestry consisting of variations of rather stereotypical local cortical microcircuits. Hence …
Franz Scherr
,
Wolfgang Maass
Cite
bioRxiv
One-shot learning with spiking neural networks
Understanding how one-shot learning can be accomplished through synaptic plasticity in neural networks of the brain is a major open …
Franz Scherr
,
Christoph Stöckl
,
Wolfgang Maass
Cite
bioRxiv
Slow processes of neurons enable a biologically plausible approximation to policy gradient
Recurrent neural networks underlie the astounding information processing capabilities of the brain, and play a key role in many …
Anand Subramoney
,
Franz Scherr
,
Guillaume Bellec
,
Elias Hajek
,
Darjan Salaj
,
Robert Legenstein
,
Wolfgang Maass
Workshop Homepage
Contributed Talk
Eligibility traces provide a data-inspired alternative to backpropagation through time
Learning in recurrent neural networks (RNNs) is most often implemented by gradient descent using backpropagation through time (BPTT), …
Guillaume Bellec
,
Franz Scherr
,
Elias Hajek
,
Darjan Salaj
,
Anand Subramoney
,
Robert Legenstein
,
Wolfgang Maass
OpenReview
Workshop Homepage
Contributed Talk
Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets
The way how recurrently connected networks of spiking neurons in the brain acquire powerful information processing capabilities through …
Guillaume Bellec
,
Franz Scherr
,
Elias Hajek
,
Darjan Salaj
,
Robert Legenstein
,
Wolfgang Maass
Cite
arXiv
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