Towards deep learning with segregated dendrites

Por Guerguiev, Jordan, Lillicrap, Timothy P, Richards, Blake A
Publicado no eLife (2017)

Learning sensitivity derivative by implicit supervision

Por Abdelghani Mohamed N, Lillicrap Timothy P, Tweed Douglas B
Publicado em 2007-07-01

Unsupervised learning is crucial to learning the names of objects

Por Lillicrap, Timothy P, Richards, Blake A, Scott, Stephen H
Publicado no BMC Neurosci (2007)

Learning sensitivity derivative by implicit supervision

Por Abdelghani, Mohamed N, Lillicrap, Timothy P, Tweed, Douglas B
Publicado no BMC Neurosci (2007)

Temporal Evolution of “Automatic Gain-Scaling”

Por Pruszynski, J. Andrew, Kurtzer, Isaac, Lillicrap, Timothy P., Scott, Stephen H.
Publicado em 2009

Temporal evolution of both premotor and motor cortical tuning properties reflect changes in limb biomechanics

Por Suminski, Aaron J., Mardoum, Philip, Lillicrap, Timothy P., Hatsopoulos, Nicholas G.
Publicado no J Neurophysiol (2015)

Random synaptic feedback weights support error backpropagation for deep learning

Por Lillicrap, Timothy P., Cownden, Daniel, Tweed, Douglas B., Akerman, Colin J.
Publicado no Nat Commun (2016)

Clonal Relationships Impact Neuronal Tuning within a Phylogenetically Ancient Vertebrate Brain Structure

Por Muldal, Alistair M., Lillicrap, Timothy P., Richards, Blake A., Akerman, Colin J.
Publicado em 2014

Primary motor cortex neurons classified in a postural task predict muscle activation patterns in a reaching task

Por Heming, Ethan A., Lillicrap, Timothy P., Omrani, Mohsen, Herter, Troy M., Pruszynski, J. Andrew, Scott, Stephen H.
Publicado no J Neurophysiol (2016)