Search Results for author: Pieter Roelfsema

Found 3 papers, 2 papers with code

Attention-Gated Brain Propagation: How the brain can implement reward-based error backpropagation

1 code implementation NeurIPS 2020 Isabella Pozzi, Sander Bohte, Pieter Roelfsema

We show how the new learning scheme – Attention-Gated Brain Propagation (BrainProp) – is mathematically equivalent to error backpropagation, for one output unit at a time.

Image Classification

A Biologically Plausible Learning Rule for Deep Learning in the Brain

1 code implementation5 Nov 2018 Isabella Pozzi, Sander Bohté, Pieter Roelfsema

Researchers have proposed that deep learning, which is providing important progress in a wide range of high complexity tasks, might inspire new insights into learning in the brain.

Image Classification reinforcement-learning +1

Neurally Plausible Reinforcement Learning of Working Memory Tasks

no code implementations NeurIPS 2012 Jaldert Rombouts, Pieter Roelfsema, Sander M. Bohte

Neurons in association cortex play an important role in this process: during learning these neurons become tuned to relevant features and represent the information that is required later as a persistent elevation of their activity.

Decision Making reinforcement-learning +1

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